- Aug 2020
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www.youtube.com www.youtube.com
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Identifying social media manipulation with OSoMe tools. (2020, August 11). https://www.youtube.com/watch?v=1BMv0PrdVGs&feature=youtu.be
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www.nber.org www.nber.org
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Kuchler, T., Russel, D., & Stroebel, J. (2020). The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook (Working Paper No. 26990; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26990
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www.nber.org www.nber.org
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Hansman, C., Hong, H., de Paula, Á., & Singh, V. (2020). A Sticky-Price View of Hoarding (Working Paper No. 27051; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27051
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matienzo.org matienzo.org
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Maybe I’m getting older, or just more patient I’m aware of what I’m doing at every step in the process, rather than having it be fully automated. It’s harder to shitpost if you’re thinking everything through, just like it’s harder to make bad pizza if you know you can’t get instant gratification. I still occasionally make bad posts as well as bad pizza, but I am certainly more aware of the cases where I’m setting myself up for it.
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www.tandfonline.com www.tandfonline.com
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Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2020). Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysis. Health Communication, 0(0), 1–9. https://doi.org/10.1080/10410236.2020.1794553
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psyarxiv.com psyarxiv.com
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Nan, Xiaoli, Yuan Wang, and Kathryn Thier. ‘Health Misinformation’. Preprint. PsyArXiv, 4 August 2020. https://doi.org/10.31234/osf.io/6mrgv.
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covid-19.iza.org covid-19.iza.org
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Grözinger. N., Irlenbusch. B., Laske. K., Schröder. M., (2020). Innovation and Communication Media in Virtual Teams – An Experimental Study. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/innovation-and-communication-media-in-virtual-teams-an-experimental-study/
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psyarxiv.com psyarxiv.com
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Martel, C., Mosleh, M., & Rand, D. (2020). You’re definitely wrong, maybe: Correction style has minimal effect on corrections of misinformation online. https://doi.org/10.31234/osf.io/w3tfb
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Simchon, A., Brady, W. J., & Bavel, J. J. V. (2020). Troll and Divide: The Language of Online Polarization. https://doi.org/10.31234/osf.io/xjd64
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www.theguardian.com www.theguardian.com
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Obviously not every group chat counts as a “conspiracy”. But it makes the question of how society coheres, who is associated with whom, into a matter of speculation – something that involves a trace of conspiracy theory. In that sense, WhatsApp is not just a channel for the circulation of conspiracy theories, but offers content for them as well. The medium is the message.
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This means that while groups can generate high levels of solidarity, which can in principle be put to powerful political effect, it also becomes harder to express disagreement within the group. If, for example, an outspoken and popular member of a neighbourhood WhatsApp group begins to circulate misinformation about health risks, the general urge to maintain solidarity means that their messages are likely to be met with approval and thanks. When a claim or piece of content shows up in a group, there may be many members who view it as dubious; the question is whether they have the confidence to say as much. Meanwhile, the less sceptical can simply forward it on. It’s not hard, then, to understand why WhatsApp is a powerful distributor of “fake news” and conspiracy theories.
Instead of positive feedback like this, is there a way to create negative feedback loops in these social media apps?
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Groups are great for brief bursts of humour or frustration, but, by their very nature, far less useful for supporting the circulation of public information. To understand why this is the case, we have to think about the way in which individuals can become swayed and influenced once they belong to a group.
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www.youtube.com www.youtube.com
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MyData vs. COVID-19 calls (2020, June 5) - https://www.youtube.com/playlist?list=PLbpRS19STpXSWs4kTiVEx2KN5CZh6yCYI
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- Jul 2020
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved 31 July 2020, from https://covid-19.iza.org/publications/dp13388/
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www.nber.org www.nber.org
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Cotti, C. D., Engelhardt, B., Foster, J., Nesson, E. T., & Niekamp, P. S. (2020). The Relationship between In-Person Voting and COVID-19: Evidence from the Wisconsin Primary (Working Paper No. 27187; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27187
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www.nber.org www.nber.org
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Chang, H.-H., & Meyerhoefer, C. (2020). COVID-19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan (Working Paper No. 27427; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27427
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www.nber.org www.nber.org
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Schmitt-Grohé, S., Teoh, K., & Uribe, M. (2020). Covid-19: Testing Inequality in New York City (Working Paper No. 27019; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27019
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www.youtube.com www.youtube.com
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Journalism in Crisis (2020). https://www.youtube.com/watch?v=Dr41ao6tKVw&feature=emb_title
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Fatehkia, M., Tingzon, I., Orden, A., Sy, S., Sekara, V., Garcia-Herranz, M., & Weber, I. (2020). Mapping socioeconomic indicators using social media advertising data. EPJ Data Science, 9(1), 1–15. https://doi.org/10.1140/epjds/s13688-020-00235-w
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medium.com medium.com
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@DFRLab. (2020). Op-Ed: How Brexit tribalism has influenced attitudes toward COVID-19 in Britain. Medium. https://medium.com/dfrlab/op-ed-how-brexit-tribalism-has-influenced-attitudes-toward-covid-19-in-britain-16a983a56929
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dl.acm.org dl.acm.org
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Panda, A., Gonawela, A., Acharyya, S., Mishra, D., Mohapatra, M., Chandrasekaran, R., & Pal, J. (2020). NivaDuck—A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States. International Conference on Social Media and Society, 200–209. https://doi.org/10.1145/3400806.3400830
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svelte.dev svelte.dev
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injury.findlaw.com injury.findlaw.com
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Due to social media, it's now easier than ever to make a defamatory statement. That's because social media services like Twitter and Facebook allow you to instantly "publish" a statement that can reach millions of people.
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revisionlegal.com revisionlegal.com
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However, social media websites don’t really care about defamation–they care about trademark use. T
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psyarxiv.com psyarxiv.com
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Bhattacharya, C., Chowdhury, D., Ahmed, N., Ozgur, S., Bhattacharya, B., Mridha, S. K., & Bhattacharyya, M. (2020). The Nature, Cause and Consequence of COVID-19 Panic among Social Media Users in India. https://doi.org/10.31234/osf.io/dgr45
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osf.io osf.io
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Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors or misinformation on coronavirus disease (COVID-19) in social media [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uf3zn
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osf.io osf.io
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La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x
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osf.io osf.io
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Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
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osf.io osf.io
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Hameleers, M. (2020). Prospect Theory in Times of a Pandemic: The Effects of Gain versus Loss Framing on Policy Preferences and Emotional Responses During the 2020 Coronavirus Outbreak [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/7pykj
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osf.io osf.io
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Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- social distancing
- social media
- is:other
- lang:en
- mental health
- COVID-19
- analysis
- preprint
- uncertainty
- isolation
- behavior
- policy
- sheets
- social science
- misinformation
- government
- social norm
- publication
- community
- unofficial
- research
- international
- healthcare
- tracker
- data collection
- spreadsheet
- conspiracy theory
- medicine
- infection
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Starominski-Uehara, M. (2020). Mass Media Exposing Representations of Reality Through Critical Inquiry [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/vz9cu
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www.nytimes.com www.nytimes.com
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Eisen, M. B., & Tibshirani, R. (2020, July 20). Opinion | How to Identify Flawed Research Before It Becomes Dangerous. The New York Times. https://www.nytimes.com/2020/07/20/opinion/coronavirus-preprints.html
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twitter.com twitter.com
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Nate Silver on Twitter: “It’s sort of interesting which COVID-19 studies get widespread media attention. Not very well correlated (in fact, perhaps negatively correlated) with the ones the subject-matter experts I follow seem to find compelling.” / Twitter. (n.d.). Twitter. Retrieved July 20, 2020, from https://twitter.com/NateSilver538/status/1284918726379425800
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Dube, J.-P., Simonov, A., Sacher, S., & Biswas, S. (2020, July 6). News media and distrust in scientific experts. VoxEU.Org. https://voxeu.org/article/news-media-and-distrust-scientific-experts
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www.thelancet.com www.thelancet.com
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Diseases, The Lancet Infectious. ‘The COVID-19 Infodemic’. The Lancet Infectious Diseases 0, no. 0 (17 July 2020). https://doi.org/10.1016/S1473-3099(20)30565-X.
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www.youtube.com www.youtube.com
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FSI Stanford. (2020, June 1). The Executive Order on Platforms and Online Speech: Stanford’s Cyber Policy Center Responds. https://www.youtube.com/watch?v=fKeWGXT8qp4
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inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
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Expanding diversity and building capacity
What about youth in reduced economic circumstances? What if they do not have access to this new media? Is this bridging a gap, or just creating a new one?
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osf.io osf.io
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Starominski-Uehara, M. (2020). Powering Social Media Footage: Simple Guide for the Most Vulnerable to Make Emergency Visible [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/gefhv
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osf.io osf.io
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Haman, M. (2020). The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. https://doi.org/10.31235/osf.io/u4maf
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www.youtube.com www.youtube.com
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Using Facebook Ad Library | Webinar with Maddy Webb and Laura Garcia. (2020, May 22). First Draft. https://www.youtube.com/watch?v=YuzUr0V_fEk&feature=emb_logo
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URL
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www.youtube.com www.youtube.com
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Mark Zuckerberg & Thierry Breton: Towards a post COVID-19 Digital Deal between tech and governments? (2020, May 18). https://www.youtube.com/watch?v=uZfi6WkIfgU&feature=youtu.be
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www.pscp.tv www.pscp.tv
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JAMA Network - Discussing preprint servers and social media.
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twitter.com twitter.com
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Dan Quintana on Twitter: “Tomorrow at 1pm CEST I’ll be doing a virtual talk for the Rotterdam R.I.O.T. Science Club (@rdam_riots) on using Twitter for science 🧬 I’ll be covering both the why and the how + I’ll be leaving plenty of time for a Q&A session. Watch here: https://t.co/nXHry9Inyi https://t.co/T6u7lvgAhO” / Twitter. (n.d.). Twitter. Retrieved June 17, 2020, from https://twitter.com/dsquintana/status/1264623289814659072
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osf.io osf.io
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Starominski-Uehara, M. (2020). Powering Social Media Footage: Simple Guide for the Most Vulnerable to Make Emergency Visible [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ek6tz
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parliamentlive.tv parliamentlive.tv
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Digital, culture, media and sport sub-committee on online harms and disinformation. (2020, April 30). Parliament.tv. https://parliamentlive.tv/Event/Index/3c4aede5-2b89-4f33-9103-fb1c8a77a3ad
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www.youtube.com www.youtube.com
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Professor Peter Bull—Meeting the media as a political psychologist. (2020, February 24). https://www.youtube.com/watch?v=Y-mt44t-cao&feature=youtu.be
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osf.io osf.io
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Grow, A., Perrotta, D., Del Fava, E., Cimentada, J., Rampazzo, F., Gil-Clavel, S., & Zagheni, E. (2020). Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ez9pb
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osf.io osf.io
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Hossain, M. M., McKyer, E. L. J., & Ma, P. (2020). Applications of artificial intelligence technologies on mental health research during COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/w6c9b
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web.archive.org web.archive.org
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Chen and Gawker did not immediately respond to requests for comment. The FBI has declined to comment. Monsegur was unavailable for comment.
Follow up on their replies.
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arg-tech.org arg-tech.org
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Bex, F., Lawrence. J., Snaith. M., Reed. C., (2013) implementing the Argument Web. Communications of the ACM. (56). (10). Retrieved from chrome-extension://bjfhmglciegochdpefhhlphglcehbmek/pdfjs/web/viewer.html?file=http%3A%2F%2Farg-tech.org%2Fpeople%2Fchris%2Fpublications%2F2013%2FbexCACM.pdf
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theconversation.com theconversation.com
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Cartwright, E. (n.d.). Leicester economist: Our city was vulnerable to a coronavirus outbreak. The Conversation. Retrieved 2 July 2020, from http://theconversation.com/leicester-economist-our-city-was-vulnerable-to-a-coronavirus-outbreak-141709
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mozilla.github.io mozilla.github.io
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Evaluate
I believe this is an important skill to have and to teach nowadays. Especially with the readily shareable content on social media people could post things with out critically evaluating what content is saying/where it comes from/if it is credible or not.
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twitter.com twitter.com
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Nathan Young on Twitter: “I refuse to subscribe to every newpaper that I read 3 articles from a month. I’m subscribed to @Blendle @Coil and @Medium for content that I pay per use. If news orgs want my money, let me pay only for what I use.” / Twitter. (n.d.). Twitter. Retrieved July 7, 2020, from https://twitter.com/nathanpmyoung/status/1280080625689669632
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psyarxiv.com psyarxiv.com
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Chatterjee, A., & Chatterjee, A. (2020). Managing through uncertain times: A study to understand the effects of conducting socio-academic life online during COVID-19. https://doi.org/10.31234/osf.io/vcbrw
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www.youtube.com www.youtube.comYouTube1
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Dr Daniel Quintana | Using Twitter for Science | R.I.O.T. Science Club—YouTube. (2020, May 26). https://www.youtube.com/watch?v=pA5Y4cO934I
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psyarxiv.com psyarxiv.com
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Neill, R., Blair, C., Best, P., McGlinchey, E., & Armour, C. (2020). Media Consumption and Mental Health during COVID-19 lockdown: A UK Cross-sectional study across England, Wales, Scotland and Northern [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5d9fc
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- Jun 2020
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www.scientificamerican.com www.scientificamerican.com
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US, A. B., The Conversation. (n.d.). Coronavirus Responses Highlight How Humans Have Evolved to Dismiss Facts That Don’t Fit Their Worldview. Scientific American. Retrieved June 30, 2020, from https://www.scientificamerican.com/article/coronavirus-responses-highlight-how-humans-have-evolved-to-dismiss-facts-that-dont-fit-their-worldview/
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psyarxiv.com psyarxiv.com
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Midgley, C., Thai, S., Lockwood, P., Kovacheff, C., & Page-Gould, E. (2020). When Every Day is a High School Reunion: Social Media Comparisons and Self-Esteem [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/zmy29
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jonathanstray.com jonathanstray.com
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News can no longer be (only) about the mass update. Stories need to be targeted to those who might be able to improve the situation. And journalism’s products — which are more than its stories — must be designed to facilitate this. News needs to be built to engage curiosity about the world and the problems in it — and their solutions. People need to get lost in the news like they now get lost in Wikipedia and Facebook. There must be comprehensive stories that get the interested but uninformed up to speed quickly. Search and navigation must be improved to the point where satisfaction of curiosity is so easy it becomes a reflex. Destination news sites need to be more extensively hyperlinked than almost anything else (and not just insincere internal links for SEO, but links that are actually useful for the user.) The news experience needs to become intensely personal. It must be easy for users to find and follow exactly their interests, no matter how arcane. Journalists need to get proficient at finding and engaging the audience for each story. And all of this has to work across all modes of delivery, so it’s always with us. Marketers understand this; it’s amazing to me that the news industry has been so slow to catch on to multi-modal engagement.
everything would work perfectly if we had all of these and people are actually rational and diligent with infinite resource.
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I don’t want the product with the best content overall, I want the product that is going to serve me up the best content every single time, regardless of whether or not it was created in-house.
discovery, aggregation, curation. narrator
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People spend hours roaming Wikipedia; they don’t spend hours on bbc.co.uk or cnn.com or nytimes.com or news.yahoo.com (which actualy has a far bigger audience than any traditional news outlet.) Wikipedia also tends to take the top spot in Google results, which means that more people link to it than they do to any news site.
or google just ups the ranking of Wikipedia in their algo
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debrouwere.org debrouwere.org
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If you eventually do manage to find the information you need, kudos. You’re obviously very committed to learn more. But wasn’t the whole “we need context” meme prompted by the acknowledgement that most readers get confused and quit way before that stage?
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heyelise.com heyelise.com
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The web also rewards news providers who provide context. People are far more likely to re-visit the wikipedia page or the topics overview a year after a news event. Thompson’s “The Money Meltdown” site pulled together the best links to explain the financial crisis. Matt posted it on his blog and in one month, 50,000 unique visitors came along and looked at it 75,000 times. It speaks to a desire. It’s all about pulling together links, in some cases. What’s difficult right now is automating it. Link barns as topic pages aren’t working.
basically: there's a demand for evergreen essays. but there's also demand / place for soundbites and torrent of throwaway patchy breaking news
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www.youtube.com www.youtube.com
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Using Smartphone, Social Media, and Sensor Data for Psychological Research (May 13, 2020). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?time_continue=3&v=vSvnJzCfstU&feature=emb_logo
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www.youtube.com www.youtube.com
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EU Datathon 2020—Webinar on COVID-19 and media and data monitoring. (2020, April 22). https://www.youtube.com/watch?v=wyNgmEfi_vk&feature=youtu.be
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URL
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www.unforgettable.me www.unforgettable.me
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Register here: (n.d.). Google Docs. Retrieved May 5, 2020, from https://docs.google.com/forms/d/e/1FAIpQLSdqXWlf0sbRR9wSH_42shm4vU4tHcCe0bQZuC-6ngHaI4I32w/viewform??embedded=true&usp=embed_facebook
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psyarxiv.com psyarxiv.com
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Bayer, J. (2020). Technology habits: Progress, problems, and prospects [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ft6am
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blogs.lse.ac.uk blogs.lse.ac.uk
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Using LinkedIn for Social Research. (2019, July 9). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2019/07/09/using-linkedin-for-social-research/
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reutersinstitute.politics.ox.ac.uk reutersinstitute.politics.ox.ac.uk
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Newman, N. (n.d.). Reuters Institute Digital News Report 2020. 112.
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psyarxiv.com psyarxiv.com
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Agarwal, A., & Faruqui, Z. (2020). Can Suicide Risks be Predicted ? NIMHANS MHECON 2020 [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/kd2j7
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www.cambridge.org www.cambridge.org
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Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (undefined/ed). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1–7. https://doi.org/10.1017/S003329172000224X
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digest.bps.org.uk digest.bps.org.uk
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Warren, M. (2020, June 16). Why Are We So Quick To Scrutinise How Low-Income Families Spend Their Money?. Research Digest. https://digest.bps.org.uk/2020/06/16/why-are-we-so-quick-to-scrutinise-how-low-income-families-spend-their-money/
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digest.bps.org.uk digest.bps.org.uk
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For Political Candidates, Making Jokes Online Might Backfire. (2020, June 18). Research Digest. https://digest.bps.org.uk/2020/06/18/for-political-candidates-making-jokes-online-might-backfire/
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Chen, E., Lerman, K., & Ferrara, E. (2020). COVID-19: The First Public Coronavirus Twitter Dataset. ArXiv:2003.07372 [Cs, q-Bio]. http://arxiv.org/abs/2003.07372
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twitter.com twitter.com
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David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/dg_rand/status/1242526565793136641
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psyarxiv.com psyarxiv.com
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Zickfeld, J., Schubert, T. W., Herting, A. K., Grahe, J. E., & Faasse, K. (2020, April 16). Predictors of Health-Protective Behavior and Changes Over Time During the Outbreak of the COVID-19 Pandemic in Norway. https://doi.org/10.31234/osf.io/6vgf4
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psyarxiv.com psyarxiv.com
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Schmidt, A., Brose, A., Kramer, A., Schmiedek, F., Witthöft, M., & Neubauer, A. (2020). Cyclical Across-Day Dynamics of Corona-Related Media Exposure and Worries in People’s Everyday Lives During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/rea57
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www.nature.com www.nature.com
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Ledford, H. (2020). How Facebook, Twitter and other data troves are revolutionizing social science. Nature, 582(7812), 328–330. https://doi.org/10.1038/d41586-020-01747-1
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
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Tsolaki, Vasiliki, George E. Zakynthinos, and Dimosthenis Makris. ‘The ARDSnet Protocol May Be Detrimental in COVID-19’. Critical Care 24, no. 1 (December 2020): 351. https://doi.org/10.1186/s13054-020-03081-4.
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www.reddit.com www.reddit.com
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r/BehSciMeta—Comment by u/UHahn on ”What is the impact of retraction of scientific studies reported in news media?”. (n.d.). Reddit. Retrieved June 17, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gyw43b/what_is_the_impact_of_retraction_of_scientific/ftp5w1p
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scicomm.plos.org scicomm.plos.org
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Tips on Using Science Twitter During COVID-19. (2020, April 15). PLOS SciComm. https://scicomm.plos.org/2020/04/15/tips-on-using-science-twitter-during-covid-19/
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www.nature.com www.nature.com
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Viglione, G. (2020). Has Twitter just had its saddest fortnight ever? Nature. https://doi.org/10.1038/d41586-020-01818-3
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www.npr.org www.npr.org
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Researchers: Nearly Half Of Accounts Tweeting About Coronavirus Are Likely Bots. (2020, May 20). NPR. https://www.npr.org/sections/coronavirus-live-updates/2020/05/20/859814085/researchers-nearly-half-of-accounts-tweeting-about-coronavirus-are-likely-bots
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twitter.com twitter.com
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Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465
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www.bbc.com www.bbc.com
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Roxby, P. (2020, June 13). Warning over adolescents’ lack of social contact. BBC News. https://www.bbc.com/news/health-53022369
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twitter.com twitter.com
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☣️ Michael Ç̸̠͎͉̹̼̠͔̗̓̐̐̓̓̀͝͝. Bazaco ☣️ on Twitter: “The amount of experts who used to cry foul about people acting like experts in their field that have now chased the COVID story pretending to be virologists, ID epidemiologists, ID physicians, and/or infection control specialists to try and brand build is creepy and ghoulish. 😑” / Twitter. (n.d.). Twitter. Retrieved June 15, 2020, from https://twitter.com/mcbazacophd/status/1271597829065187328
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theconvivialsociety.substack.com theconvivialsociety.substack.com
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We’re presently living through what feels like a remarkably turbulent time. In fact, we might be tempted to think that ours is a uniquely chaotic moment. Of course, most of us know that human beings have lived through more chaotic, violent, and calamitous times than ours. What is novel in our experience isn’t the depth of the health crisis or the scale of the protests, the economic volatility, or the political instability. What is novel is the information ecosystem in which all of this and more is unfolding. Most of us now have far greater access to information about the world, and we are—arguably, I grant—exposed to a far wider array of competing narratives attempting, without notable success, to make sense of it all. In short, it would appear that our basic sense-making technology, the narrative, is a bit glitchy, both failing to operate as we might expect and causing some issues of its own. You won’t be surprised to learn that I think Marshall McLuhan can be helpful here. While many have found McLuhan’s aphorism “the medium is the message” confounding, McLuhan actually offered a rather straightforward explanation. “The ‘message’ of any medium or technology,” McLuhan wrote, “is the change of scale or pace or pattern that it introduces into human affairs.” “The effects of technology do not occur at the level of opinions or concepts,” McLuhan added, “but alter sense ratios or patterns of perception steadily and without any resistance.”Digital media introduced a new scale, pace, and pattern to human communication, and, in this way, altered how the world is perceived. With regards to scale, we encounter an unprecedented amount of information about the world at large through digital media. With regards to pace, we encounter this information with previously unknown and unrelenting immediacy. And, with regards to pattern, we encounter it both in novel social contexts and in a form that bears greater resemblance to a database than a story.
L. M. Sacasas providing a very brief summary of McLuhan's "medium is the message" quote applied to the Coronavirus pandemic in June 2020.
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arxiv.org arxiv.org
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Velásquez, N., Leahy, R., Restrepo, N. J., Lupu, Y., Sear, R., Gabriel, N., Jha, O., Goldberg, B., & Johnson, N. F. (2020). Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. ArXiv:2004.00673 [Nlin, Physics:Physics]. http://arxiv.org/abs/2004.00673
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Gencoglu, O., & Gruber, M. (2020). Causal Modeling of Twitter Activity During COVID-19. ArXiv:2005.07952 [Cs]. http://arxiv.org/abs/2005.07952
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arxiv.org arxiv.org
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Ziems, C., He, B., Soni, S., & Kumar, S. (2020). Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. ArXiv:2005.12423 [Physics]. http://arxiv.org/abs/2005.12423
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www.cnbc.com www.cnbc.com
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Farr, C. (2020, May 23). Why scientists are changing their minds and disagreeing during the coronavirus pandemic. CNBC. https://www.cnbc.com/2020/05/23/why-scientists-change-their-mind-and-disagree.html
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/jamesheathers/status/1271058689970114560
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arxiv.org arxiv.org
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Gozzi, N., Tizzani, M., Starnini, M., Ciulla, F., Paolotti, D., Panisson, A., & Perra, N. (2020). Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia. ArXiv:2006.06446 [Physics]. http://arxiv.org/abs/2006.06446
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americanethnologist.org americanethnologist.org
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Good Vibes: The Complex Work of Social Media Influencers in a Pandemic. (n.d.). American Ethnological Society. Retrieved May 31, 2020, from https://americanethnologist.org/features/pandemic-diaries/pandemic-diaries-affect-and-crisis/good-vibes-the-complex-work-of-social-media-influencers-in-a-pandemic
Tags
- social media
- lockdown
- lang:en
- influencer
- staff
- COVID-19
- is:news
- essential worker
- follower
- classification
- work
Annotators
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journals.sagepub.com journals.sagepub.com
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Brashier, N. M., & Schacter, D. L. (2020). Aging in an Era of Fake News. Current Directions in Psychological Science, 0963721420915872. https://doi.org/10.1177/0963721420915872
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dl.acm.org dl.acm.org
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Yaqub, W., Kakhidze, O., Brockman, M. L., Memon, N., & Patil, S. (2020). Effects of Credibility Indicators on Social Media News Sharing Intent. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376213
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www.reddit.com www.reddit.com
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r/BehSciMeta—Comment by u/VictorVenema on ”No appeasement of bad faith actors”. (n.d.). Reddit. Retrieved June 11, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gv0y99/no_appeasement_of_bad_faith_actors/ftpclwz
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psyarxiv.com psyarxiv.com
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Altay, S., de Araujo, E., & Mercier, H. (2020, June 4). “If this account is true, it is most enormously wonderful”: Interestingness-if-true and the sharing of true and false news.
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www.sciencedirect.com www.sciencedirect.com
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Wallis, P., & Nerlich, B. (2005). Disease metaphors in new epidemics: The UK media framing of the 2003 SARS epidemic. Social Science & Medicine, 60(11), 2629–2639. https://doi.org/10.1016/j.socscimed.2004.11.031
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www.nytimes.com www.nytimes.com
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Wong, E., Rosenberg, M., & Barnes, J. E. (2020, April 22). Chinese Agents Helped Spread Messages That Sowed Virus Panic in U.S., Officials Say. The New York Times. https://www.nytimes.com/2020/04/22/us/politics/coronavirus-china-disinformation.html
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www.springer.com www.springer.com
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Journal of Computational Social Science. Springer. Retrieved June 10, 2020, from https://www.springer.com/journal/42001/updates/17993070
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Cinus, F., Bonchi, F., Monti, C., & Panisson, A. (2020). Generating Realistic Interest-Driven Information Cascades. Proceedings of the International AAAI Conference on Web and Social Media, 14, 107–118.
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Haelle, T. (2020, May 8). Why It’s Important To Push Back On ‘Plandemic’—And How To Do It. Forbes. https://www.forbes.com/sites/tarahaelle/2020/05/08/why-its-important-to-push-back-on-plandemic-and-how-to-do-it/
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read.dukeupress.edu read.dukeupress.edu
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Gollust, Sarah E., Rebekah H. Nagler, and Erika Franklin Fowler. ‘The Emergence of COVID-19 in the U.S.: A Public Health and Political Communication Crisis’. Journal of Health Politics, Policy and Law. Accessed 5 June 2020. https://doi.org/10.1215/03616878-8641506.
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www.reddit.com www.reddit.com
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Hahn, U. (2020 May 10). Open policy processes for COVID-19. Reddit. https://www.reddit.com/r/BehSciMeta/comments/gggw9h/open_policy_processes_for_covid19/
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Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603
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psyarxiv.com psyarxiv.com
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Wang, M., Jiang, W., & Cheng, P. (2020). Mental Health Peer to Peer Support via Social Media practice reference During COVID-19 Pandemics [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4pqy
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arxiv.org arxiv.org
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misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
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Jamieson, K. H., & Albarracín, D. (2020). The Relation between Media Consumption and Misinformation at the Outset of the SARS-CoV-2 Pandemic in the US. Harvard Kennedy School Misinformation Review, 2. https://doi.org/10.37016/mr-2020-012
Tags
- Trump
- misinformation
- consumption
- public
- lang:en
- media
- COVID-19
- USA
- understanding
- is:article
- conspiracy theory
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www.scs.cmu.edu www.scs.cmu.edu
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Young, V. A. (2020, May 20). Nearly Half Of The Twitter Accounts Discussing ‘Reopening America’ May Be Bots. Carnegie Mellon School of Computer Science. https://www.scs.cmu.edu/news/nearly-half-twitter-accounts-discussing-%E2%80%98reopening-america%E2%80%99-may-be-bots
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textnets.readthedocs.io textnets.readthedocs.io
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Bail, C. A. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences, 113(42), 11823–11828. https://doi.org/10.1073/pnas.1607151113
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psyarxiv.com psyarxiv.com
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Meyerhoff, H. S., Brand, A.-K., & Scholl, A. (2020). In Case of Doubt for the Suspicion?: When People Falsely Remember Facts in the News as Being Uncertain. https://doi.org/10.31234/osf.io/rct7a
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- May 2020
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twitter.com twitter.com
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Margaret Sullivan on Twitter: “.@TheAtlantic to cut staff by 68 positions, or 17 percent, in response to current economy, per chairman David Bradley statement” / Twitter. (n.d.). Twitter. Retrieved May 31, 2020, from https://twitter.com/sulliview/status/1263461467262779393
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twitter.com twitter.com
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Mark Shapiro MD on Twitter: “A poll for #MedTwitter Do you have media appearances, #SoMe activity, writing in forward facing magazines/websites included in your professional contract as a promotion lever or financial incentive?” / Twitter. (n.d.). Twitter. Retrieved May 29, 2020, from https://twitter.com/etsshow/status/1265855571812478977
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www.psychologicalscience.org www.psychologicalscience.org
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Why We Fall Prey to Misinformation. (n.d.). Association for Psychological Science - APS. Retrieved May 29, 2020, from https://www.psychologicalscience.org/news/releases/why-we-fall-prey-to-misinformation.html
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www.bps.org.uk www.bps.org.uk
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psyarxiv.com psyarxiv.com
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Anvari, F. (2020, March 26). A comment on Everett et al. (2020): No evidence for the effectiveness of moral messages on public health behavioural intentions during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/de7q9
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www.bps.org.uk www.bps.org.uk
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Communications: Working with the media | BPS. (n.d.). Retrieved April 21, 2020, from https://www.bps.org.uk/about-us/communications/working-media
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www.mittellaendische.ch www.mittellaendische.ch
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COVID-19—Eine Zwischenbilanz oder eine Analyse der Moral, der medizinischen Fakten, sowie der aktuellen und zukünftigen politischen Entscheidungen. (2020, April 7). DIE MITTELLÄNDISCHE ZEITUNG - FÜR MEHR DURCHBLICK. https://www.mittellaendische.ch/2020/04/07/covid-19-eine-zwischenbilanz-oder-eine-analyse-der-moral-der-medizinischen-fakten-sowie-der-aktuellen-und-zuk%C3%BCnftigen-politischen-entscheidungen/
Tags
- origin
- media
- lang:de
- cardiovascular
- COVID-19
- China
- post COVID-19
- USA
- EU
- Trump
- Switzerland
- influenza
- comparison
- moral
- is:news
- mortality
Annotators
URL
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www.thelancet.com www.thelancet.com
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Mbopi-Keou, F.-X., Pondi, J.-E., & Sosso, M. A. (2020). COVID-19 in Cameroon: A crucial equation to resolve. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30373-X
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misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
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Makhortykh, M., Urman, A., & Ulloa, R. (2020). How search engines disseminate information about COVID-19 and why they should do better. Harvard Kennedy School Misinformation Review, 1(COVID-19 and Misinformation). https://doi.org/10.37016/mr-2020-017
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theconversation.com theconversation.com
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Cook, J., & Lewandowsky, S. (n.d.). Coronavirus conspiracy theories are dangerous – here’s how to stop them spreading. The Conversation. Retrieved April 21, 2020, from http://theconversation.com/coronavirus-conspiracy-theories-are-dangerous-heres-how-to-stop-them-spreading-136564
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psyarxiv.com psyarxiv.com
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Aymerich-Franch, L. (2020, May 14). COVID-19 lockdown: impact on psychological well-being and relationship to habit and routine modifications. https://doi.org/10.31234/osf.io/9vm7r
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psyarxiv.com psyarxiv.com
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Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c
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arxiv.org arxiv.org
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Alshaabi, T., et al. (2020 March 27). How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. Cornell University. arXiv:2003.12614
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Pastor-Escuredo, D., & Tarazona, C. (2020). Characterizing information leaders in Twitter during COVID-19 crisis. ArXiv:2005.07266 [Physics]. http://arxiv.org/abs/2005.07266
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www.washingtonpost.com www.washingtonpost.com
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Bode, L., & Vraga, E. (2020 May 7). Analysis | Americans are fighting coronavirus misinformation on social media. Washington Post.https://www.washingtonpost.com/politics/2020/05/07/americans-are-fighting-coronavirus-misinformation-social-media/
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www.nytimes.com www.nytimes.com
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Bajak, A., & Howe, J. (2020, May 14). Opinion | A Study Said Covid Wasn’t That Deadly. The Right Seized It. The New York Times. https://www.nytimes.com/2020/05/14/opinion/coronavirus-research-misinformation.html
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www.wired.com www.wired.com
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Porter, E. & Wood. T.J. (2020 May 14). Why is Facebook so afraid of checking facts? Wired. https://www.wired.com/story/why-is-facebook-so-afraid-of-checking-facts/
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psyarxiv.com psyarxiv.com
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Ryan, W., & Evers, E. (2020). Logarithmic Axis Graphs Distort Lay Judgment. https://doi.org/10.31234/osf.io/cwt56
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Kwon, J. and Hollingsworth, J. (2020 May 13). Virus outbreak linked to Seoul clubs stokes homophobia. CNN. https://www.cnn.com/2020/05/12/asia/south-korea-club-outbreak-intl-hnk/index.html
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standuprepublic.com standuprepublic.com
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McKew, M. (2020, May 13) Disinformation Starts at Home. Stand Up Republic. https://standuprepublic.com/disinformation-starts-at-home/
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twitter.com twitter.com
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John Burn-Murdoch on Twitter
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secrecyresearch.com secrecyresearch.com
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Beyer-Hunt, S., Carter, J., Goh, A., Li, N., & Natamanya, S.M. (2020, May 14) COVID-19 and the Politics of Knowledge: An Issue and Media Source Primer. SPIN. https://secrecyresearch.com/2020/05/14/covid19-spin-primer/
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leedsunilibrary.wordpress.com leedsunilibrary.wordpress.com
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The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/
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www.annualreviews.org www.annualreviews.org
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Correia, Rion Brattig, Ian B. Wood, Johan Bollen, and Luis M. Rocha. “Mining Social Media Data for Biomedical Signals and Health-Related Behavior.” Annual Review of Biomedical Data Science, May 4, 2020. https://doi.org/10.1146/annurev-biodatasci-030320-040844.
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www.nature.com www.nature.com
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Ball, P. (2020). Anti-vaccine movement could undermine efforts to end coronavirus pandemic, researchers warn. Nature, 581(7808), 251–251. https://doi.org/10.1038/d41586-020-01423-4
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www.nbcnews.com www.nbcnews.com
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Zadrozny, B. (2020 May 14). One in four popular YouTube coronavirus videos contain misinformation, study finds. NBC News. https://www.nbcnews.com/health/health-news/live-blog/2020-05-13-coronavirus-news-n1205916/ncrd1206486#blogHeader
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@DFRLab. (2020, May 14). Op-Ed: The criminalization of COVID-19 clicks and conspiracies. Medium. https://medium.com/dfrlab/op-ed-the-criminalization-of-covid-19-clicks-and-conspiracies-3af077f5a7e7
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mind.cnm.edu mind.cnm.edu
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Common Types of College Writing Assignments
In this section of Chapter 3, you can see a difference in the way the text is delivered. The design changed and has different graphics and layout.
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www.annualreviews.org www.annualreviews.org
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Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
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www.nature.com www.nature.com
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Lakens, D. (2020). Pandemic researchers—Recruit your own best critics. Nature, 581(7807), 121–121. https://doi.org/10.1038/d41586-020-01392-8
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www.tandfonline.com www.tandfonline.com
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Ruiu, M. L. (2020). Mismanagement of Covid-19: Lessons learned from Italy. Journal of Risk Research, 1–14. https://doi.org/10.1080/13669877.2020.1758755
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boffosocko.com boffosocko.com
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In medieval learned cultures (all the material in this volume was producedin learned, even academic circles for purposes of reading and new compo-sition), such a thorough mixing of media, especially the visual and the ver-bal, was commonplace
This sounds much more like the "learned" world in the modern era using multi-media on the internet.
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Smelter, T. J., & Calvillo, D. P. (2020). Pictures and repeated exposure increase perceived accuracy of news headlines. Applied Cognitive Psychology, acp.3684. https://doi.org/10.1002/acp.3684
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www.nytimes.com www.nytimes.com
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The Associated Press (2020, May 8). UN Chief Says Pandemic Is Unleashing a “Tsunami of Hate.” The New York Times. https://www.nytimes.com/aponline/2020/05/08/world/ap-un-virus-outbreak-hate-speech.html
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www.youtube.com www.youtube.com
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Social Media & Well-being. (n.d.). Retrieved May 13, 2020, from https://www.youtube.com/watch?v=YSV8GT7y3_E&feature=youtu.be
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Fast Science and Philosophy of Science | Jacob Stegenga. (2020, May 11). BSPS. http://www.thebsps.org/auxhyp/fast-science-stegenga/
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notes.andymatuschak.org notes.andymatuschak.org
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Part of the problem of social media is that there is no equivalent to the scientific glassblowers’ sign, or the woodworker’s open door, or Dafna and Jesse’s sandwich boards. On the internet, if you stop speaking: you disappear. And, by corollary: on the internet, you only notice the people who are speaking nonstop.
This quote comes from a larger piece by Robin Sloan. (I don't know who that is though)
The problem with social media is that the equivalent to working with the garage door open (working in public) is repeatedly talking in public about what you're doing.
One problem with this is that you need to choose what you want to talk about, and say it. This emphasizes whatever you select, not what would catch a passerby's eye.
The other problem is that you become more visible by the more you talk. Conversely, when you stop talking, you become invisible.
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Roland, L. T., Gurrola, J. G., Loftus, P. A., Cheung, S. W., & Chang, J. L. (2020). Smell and taste symptom‐based predictive model for COVID‐19 diagnosis. International Forum of Allergy & Rhinology, alr.22602. https://doi.org/10.1002/alr.22602
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phylogenomics.blogspot.com phylogenomics.blogspot.com
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The Tree of Life: Stop deifying “peer review” of journal publications: (2012, February 4). The Tree of Life. https://phylogenomics.blogspot.com/2012/02/stop-deifying-peer-review-of-journal.html
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How can we portray emotions, gestures, and attention in an authentic way through a computational medium?
This reminds me a bit of Kevin Marks' post about phatic reactions in social media: http://epeus.blogspot.com/2009/03/how-twitter-works-in-theory.html
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Annotators
URL
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psyarxiv.com psyarxiv.com
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Orben, A., Tomova, L., & Blakemore, S.-J. (2020). The effects of social deprivation on adolescent social development and mental health [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/7afmd
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jamanetwork.com jamanetwork.com
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Galea, S., Merchant, R. M., & Lurie, N. (2020). The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.1562
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psyarxiv.com psyarxiv.com
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Cellini, N., Canale, N., Mioni, G., & Costa, S. (2020, April 11). Changes in sleep pattern, sense of time, and digital media use during COVID-19 lockdown in Italy. https://doi.org/10.31234/osf.io/284mr
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leoferres.info leoferres.info
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Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/
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schub.wtf schub.wtf
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It feels a lot like the reason we are unable to offer real alternative social networks is not that we cannot do so. It is because most people with the abilities to do so spend their time working on things that only work for the tiny audience that is the tech sector, while happily ignoring the needs of all those billions of non-technical humans out there. This is something that frustrates me more than I want to admit.
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Fan, R., Xu, K., & Zhao, J. (2020). Weak ties strengthen anger contagion in social media. ArXiv:2005.01924 [Cs]. http://arxiv.org/abs/2005.01924
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Pham, T. M., Kondor, I., Hanel, R., & Thurner, S. (2020). The effect of social balance on social fragmentation. ArXiv:2005.01815 [Nlin, Physics:Physics]. http://arxiv.org/abs/2005.01815
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arxiv.org arxiv.org
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Serrano, J. C. M., Papakyriakopoulos, O., & Hegelich, S. (2020). Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok. ArXiv:2004.05478 [Cs]. http://arxiv.org/abs/2004.05478
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
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misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
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Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020). Why do people believe COVID-19 conspiracy theories? Harvard Kennedy School Misinformation Review, 1(COVID-19 and Misinformation). https://doi.org/10.37016/mr-2020-015
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dl.acm.org dl.acm.org
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Epstein, Z., Pennycook, G., & Rand, D. (2020). Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3313831.3376232
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misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
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Dias, N., Pennycook, G., & Rand, D. G. (2020). Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media. Harvard Kennedy School Misinformation Review, 1(1). https://doi.org/10.37016/mr-2020-001
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psyarxiv.com psyarxiv.com
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Dsouza, D. D., Quadros, S., Hyderabadwala, Z. J., & Mamun, M. A. (2020). Aggregated COVID-19 suicide incidences in India: Fear of COVID-19 infection is the prominent causative factor [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/7xa4b
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psyarxiv.com psyarxiv.com
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Orben, A. (2020, April 30). The Sisyphean Cycle of Technology Panics. Retrieved from psyarxiv.com/dqmju
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Romano, A., Sotis, C., Dominioni, G., & Guidi, S. (2020). COVID-19 Data: The Logarithmic Scale Misinforms the Public and Affects Policy Preferences [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/42xfm
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psyarxiv.com psyarxiv.com
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Hamilton, J. L., Nesi, J., & Choukas-Bradley, S. (2020, April 29). Teens and social media during the COVID-19 pandemic: Staying socially connected while physically distant. Retrieved from psyarxiv.com/5stx4
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psyarxiv.com psyarxiv.com
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Shook, N., Sevi, B., Lee, J., Fitzgerald, H. N., & Oosterhoff, B. (2020, April 16). Who’s Listening? Predictors of Concern about COVID-19 and Preventative Health Behaviors. https://doi.org/10.31234/osf.io/c9rfg
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psyarxiv.com psyarxiv.com
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Ennis, E. G. (2020, April 16). A Novel Solution to Academic Publishing. https://doi.org/10.31234/osf.io/gqxmu
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psyarxiv.com psyarxiv.com
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Rosen, Z., Weinberger-Litman, S. L., Rosenzweig, C., Rosmarin, D. H., Muennig, P., Carmody, E. R., … Litman, L. (2020, April 14). Anxiety and distress among the first community quarantined in the U.S due to COVID-19: Psychological implications for the unfolding crisis. https://doi.org/10.31234/osf.io/7eq8c
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psyarxiv.com psyarxiv.com
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Pummerer, L., & Sassenberg, K. (2020, April 14). Conspiracy Theories in Times of Crisis and their Societal Effects: Case “Corona”. https://doi.org/10.31234/osf.io/y5grn
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psyarxiv.com psyarxiv.com
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Vijayaraghavan, P., & SINGHAL, D. (2020, April 13). A Descriptive Study of Indian General Public’s Psychological responses during COVID-19 Pandemic Lockdown Period in India. https://doi.org/10.31234/osf.io/jeksn
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psyarxiv.com psyarxiv.com
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Sætrevik, B. (2020, April 13). Realistic expectations and pro-social behavioural intentions to the early phase of the COVID-19 pandemic in the Norwegian population. https://doi.org/10.31234/osf.io/uptyq
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psyarxiv.com psyarxiv.com
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Jarynowski, A., Wójta-Kempa, M., & Belik, V. (2020, April 22). TRENDS IN PERCEPTION OF COVID-19 IN POLISH INTERNET. https://doi.org/10.31234/osf.io/dr3gm
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psyarxiv.com psyarxiv.com
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Rosenfeld, D. L., Rothgerber, H., & Wilson, T. (2020, April 22). Politicizing the COVID-19 Pandemic: Ideological Differences in Adherence to Social Distancing. https://doi.org/10.31234/osf.io/k23cv
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Lades, L., Laffan, K., Daly, M., & Delaney, L. (2020, April 22). Daily emotional well-being during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/pg6bw
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www.picturinghealth.org www.picturinghealth.org
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Picturing Health. Films about coronavirus (COVID-19). picturinghealth.org/coronavirus-films/
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www.atlanticcouncil.org www.atlanticcouncil.org
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Brazil and Mexico: Domestic disinformation in the context of COVID-19. (n.d.). Atlantic Council. Retrieved April 27, 2020, from https://www.atlanticcouncil.org/event/brazil-and-mexico-domestic-disinformation-in-the-context-of-covid19/
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arxiv.org arxiv.org
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Jarynowski, A., Wojta-Kempa, M., Belik, V. (2020, March 30). Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet. Cornell University. arXiv:2004.00005.
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psyarxiv.com psyarxiv.com
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Olapegba, P. O., Ayandele, O., Kolawole, S. O., Oguntayo, R., Gandi, J. C., Dangiwa, A. L., … Iorfa, S. K. (2020, April 12). COVID-19 Knowledge and Perceptions in Nigeria. https://doi.org/10.31234/osf.io/j356x
Tags
- is:preprint
- transmission
- news
- descriptive statistics
- lang:en
- general public
- media
- questionnaire
- COVID-19
- China
- knowledge
- precaution
- prevention
- behavior
- Nigeria
- misconception
- misinformation
- lockdown
- symptom
- public health
- information
- perception
- data collection
- health information
- infection
Annotators
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arxiv.org arxiv.org
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Velásquez, N., et al. (2020, April 1). Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. Cornell University. arXiv:2004.00673.
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arxiv.org arxiv.org
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El Shoghri, A., et al. (2020 April 03). How mobility patterns drive disease spread: A case study using public transit passenger card travel data. 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks". DOI:10.1109/WoWMoM.2019.8793018
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covid19.scops.ai covid19.scops.ai
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Scops. Topic Stream Graph. Covid19.scops.ai. https://covid19.scops.ai/superset/dashboard/streamgraph/.
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advances.sciencemag.org advances.sciencemag.org
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Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 6(14), eaay3539. https://doi.org/10.1126/sciadv.aay3539.
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ij-healthgeographics.biomedcentral.com ij-healthgeographics.biomedcentral.com
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Kamel Boulos, M.N., Geraghty, E.M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19, 8 (2020). https://doi.org/10.1186/s12942-020-00202-8
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www.vice.com www.vice.com
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Koebler, J. (2020 April 09). The viral 'study' about runners spreading coronavirus is not actually a study. Vice. https://www.vice.com/en_us/article/v74az9/the-viral-study-about-runners-spreading-coronavirus-is-not-actually-a-study
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www.psycharchives.org www.psycharchives.org
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Betsch, C, et al. (2020 March 3). Germany COVID-19 Snapshot MOnitoring (COSMO Germany): Monitoring knowledge, risk perceptions, preventive behaviours, and public trust in the current coronavirus outbreak in Germany. PsychArchives. http://dx.doi.org/10.23668/psycharchives.2776
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twitter.com twitter.com
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Michael Veale on Twitter.
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reutersinstitute.politics.ox.ac.uk reutersinstitute.politics.ox.ac.uk
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Nielsen, R.K., Fletcher, R., Newman, N., Brennen, S., Howard, P.N. (2020 April 15). Navigating the ‘infodemic’: how people in six countries access and rate news and information about coronavirus. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/infodemic-how-people-six-countries-access-and-rate-news-and-information-about-coronavirus
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www.thelancet.com www.thelancet.com
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Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, S2215036620301681. https://doi.org/10.1016/S2215-0366(20)30168-1
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twitter.com twitter.com
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Sander van der Linden en Twitter: “New study: fake news only makes up a tiny bit of our media consumption. Great! But that totally misses the point: micro-targeted fake news only needs to convince a tiny minority of the population to disrupt an election. Misinformation also kills people, literally. Just saying https://t.co/SBpg0EBfhx” / Twitter. (n.d.). Twitter. Retrieved April 8, 2020, from https://twitter.com/sander_vdlinden/status/1247146391002132480
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Oprichting Media Special Interest Group op initiatief ISOC NL «. (n.d.). Retrieved April 9, 2020, from https://isoc.nl/nieuws/oprichting-media-special-interest-group-op-initiatief-isoc-nl/
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lasocialscience.ucla.edu lasocialscience.ucla.edu
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Editor, A. (2020, March 31). UCLA Researchers Use Big Data Expertise to Create a News Media Resource on the COVID-19 Crisis. LA Social Science. https://lasocialscience.ucla.edu/2020/03/31/ucla-researchers-use-big-data-expertise-to-create-a-news-media-resource-on-the-covid-19-crisis/
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arxiv.org arxiv.org
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Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
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psyarxiv.com psyarxiv.com
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Pennycook, G., McPhetres, J., Zhang, Y., & Rand, D. G. (2020, March 17). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention. https://doi.org/10.31234/osf.io/uhbk9
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Annotators
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www.w3.org www.w3.org
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Traditional annotations are marginalia, errata, and highlights in printed books, maps, picture, and other physical media
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Annotators
URL
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