- May 2022
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In part in order to heighten his praise of Aldus as the ideal printer, Erasmus noted by contrast that most printers, given the absence of regulations, “fill the world with pamphlets and books [that are] . . . foolish, ignorant, malig-nant, libellous, mad, impious and subversive; and such is the flood that even
things that might have done some good lose all their goodness.”198 The overabundance of bad books drowned out even any good bits that might be present among them.
And we now say these same sorts of things about the internet and social media.
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- Apr 2022
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twitter.com twitter.com
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Sarah Mojarad. (2020, October 23). What are some of the positive consequences of social media? Would love to hear your stories! [Tweet]. @Sarah_Mojarad. https://twitter.com/Sarah_Mojarad/status/1319722197766733825
Tags
- positive consequences
- social media
- networking
- lang:en
- nursing
- information
- new data
- communications professionals
- lectures
- reports
- scientific projects
- webinars
- learning
- opportunities
- connections
- journalist investigations
- support
- motivational speaker
- collaboration
- resources
- pandemic
- information dissemination
- is:twitter
- development
- share views
- mental health
Annotators
URL
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- Mar 2022
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twitter.com twitter.com
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ReconfigBehSci. (2022, January 26). RT @PsyArXivBot: Confidence of others trumps confidence of self in social information use https://t.co/Tvanez1cjS [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1502295445527277574
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- Feb 2022
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centerforinquiry.org centerforinquiry.org
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Fidalgo, P. (2022, February 22). How the Hell Did It Get This Bad? Timothy Caulfield Battles the Infodemic, March 3 | Center for Inquiry. https://centerforinquiry.org/news/how-the-hell-did-it-get-this-bad-timothy-caulfield-battles-the-infodemic-march-3/
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psyarxiv.com psyarxiv.com
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Gradassi, A., Bos, W. van den, & Molleman, L. (2022). Confidence of others trumps confidence of self in social information use. PsyArXiv. https://doi.org/10.31234/osf.io/mqyu2
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This article is for those who want to keep traveling despite restrictions due to covid. Basically giving tips on how to navigate the multiple governmental restrictions and policies including links to airline or country websites for choosing destinations. Because of this trend in travel advice in covid times, we may see attitudes towards travel shift to travel knowing the risks involved (quarantine, masks requirements, etc.) and hence see tourism rise again. Last minute covid holiday packages. What if the trend for remaining home also stayed the same for next five years and the adventure seekers become the avatars for the folks who want to stay at home.
The crisis is changing the way how people will enjoy their international holiday, with an extra concern on testing and quarantine expenses and risk taking. That may have an impact on the tourism market, asking the airline companies to provide flexible policies /products and may witness the booming of travel insurance market.
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www.defenseurdesdroits.fr www.defenseurdesdroits.fr
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R e c o m m a n d at i o n n ° 1 2 La Défenseure des droits recommande aux directeurs académiques, en concertation avec les collèges et lycées, de diffuser à chaque rentrée scolaire, via un support adapté (livret d’accueil, etc.), les informations relatives à la présence au sein de l’établissement, de l’assistante sociale et de l’infirmière scolaire. Une information systématique à destination des parents sur l’accès à la médecine scolaire doit aussi être organisée
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- Jan 2022
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royalsociety.org royalsociety.org
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The online information environment | Royal Society. (n.d.). Retrieved January 21, 2022, from https://royalsociety.org/topics-policy/projects/online-information-environment/
Tags
- public trust
- social media
- lang:en
- interaction
- information
- malinformation
- scientific information
- climate change
- deepfake
- shallowfake
- online platform
- censorship
- academic
- search engine
- misleading
- bots
- vaccine
- technology
- science
- provenance enhancing technology
- policymaker
- information environment
- misinformation
- decision making
- behavioral science
- is:webpage
Annotators
URL
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Seaman, K. L., Christensen, A. P., Senn, K., Cooper, J., & Cassidy, B. S. (2022). Age Differences in the Social Associative Learning of Trust Information. PsyArXiv. https://doi.org/10.31234/osf.io/b38rd
Tags
- trust information
- judgement
- social processing
- lang:en
- research
- developmental psychology
- personality psychology
- social associative learning
- working memory
- aging
- learning
- trust
- social cognition
- social cue
- is:preprint
- fMRI
- decision making
- behavioral science
- social science
- social psychology
- age differences
- cognitive psychology
Annotators
URL
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- Nov 2021
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www.frontiersin.org www.frontiersin.org
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Al-Hasan, A., Khuntia, J., & Yim, D. (2021). Does Seeing What Others Do Through Social Media Influence Vaccine Uptake and Help in the Herd Immunity Through Vaccination? A Cross-Sectional Analysis. Frontiers in Public Health, 9, 1668. https://doi.org/10.3389/fpubh.2021.715931
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twitter.com twitter.com
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Cochrane. (2021, November 10). 🤔 Um, @instagram you got this one wrong! @cochranecollab and @CochraneLibrary continue to be there for those looking to use high-quality information to make #health decisions. Learn more: Https://buff.ly/2R3c82O And search our evidence: Https://buff.ly/2vbkhIJ #infodemic https://t.co/m6NUItZ3tu [Tweet]. @cochranecollab. https://twitter.com/cochranecollab/status/1458439812357185536
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acpinternist.org acpinternist.org
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Frost, M. (n.d.). Busting COVID-19 vaccination myths. Retrieved November 2, 2021, from https://acpinternist.org/archives/2021/11/busting-covid-19-vaccination-myths.htm
Tags
- infodemic
- anti-vaccine
- vaccination rate
- USA
- lang:en
- social media
- data
- BIPOC
- speaking engagement
- online
- risk
- young people
- health information
- FDA
- vaccine effectiveness
- safety
- public confidence
- trust
- misconception
- vaccine
- disinformation
- immunization
- COVID-19
- misinformation
- mortality
- vaccine confidence
- campaign
- is:webpage
Annotators
URL
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- Oct 2021
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commonplace.knowledgefutures.org commonplace.knowledgefutures.org
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We do, even asking in our conclusion, “How might the social life of annotation serve the public good?” Any social benefit mediated by annotation must address power.
The parallel structure here reminds me of the book The Social Life of Information which is surely related to this idea in a subtle way. I wonder if they cited it in their bibliography? I wonder if it influenced this sentence?
https://en.wikipedia.org/wiki/The_Social_Life_of_Information
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Kington, R. S., Arnesen, S., Chou, W.-Y. S., Curry, S. J., Lazer, D., & Villarruel, and A. M. (2021). Identifying Credible Sources of Health Information in Social Media: Principles and Attributes. NAM Perspectives. https://doi.org/10.31478/202107a
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- Aug 2021
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www.reuters.com www.reuters.com
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“Fact Check-Video Does Not Show Australian Children with COVID-19 Being Separated from Their Parents.” Reuters, August 20, 2021, sec. Reuters Fact Check. https://www.reuters.com/article/factcheck-australia-children-idUSL1N2PR183.
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psyarxiv.com psyarxiv.com
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Saire, Josimar. E. Chire., & Masuyama, A. (2021). How Japanese citizens faced the COVID-19 pandemic?: Exploration from twitter [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/64x7s
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Pillai, Raunak, and Lisa Fazio. “The Effects of Repeating False and Misleading Information on Belief.” PsyArXiv, August 3, 2021. https://doi.org/10.31234/osf.io/z78xm.
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www.youtube.com www.youtube.com
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He mentions Amazon wishlists that pile up and never get used. Similar to the way people pile up bookmarks and never use or revisit them.
One of the benefits of commonplace books (and tools like Obsidian, et al.) is that one is forced to re-see or re-discover these over time. This restumbling upon these things can be incredibly valuable.
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- Jun 2021
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Covid-19 Conspiracies: How Can We Deal With Misinformation? (n.d.). Retrieved June 28, 2021, from https://www.forbes.com/sites/sunitasah/2021/01/07/covid-19-conspiracies-how-can-we-deal-with-misinformation/?sh=526aa35b2b3f
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psyarxiv.com psyarxiv.com
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Antico, L., & Corradi-Dell’Acqua, C. (2021). Far from the eyes, far from the heart. COVID-19 confinement dampened sensitivity to painful facial features. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ewvp7
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Baghal, T. A., Wenz, A., Sloan, L., & Jessop, C. (2021). Linking Twitter and survey data: Asymmetry in quantity and its impact. EPJ Data Science, 10(1), 1–20. https://doi.org/10.1140/epjds/s13688-021-00286-7
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psyarxiv.com psyarxiv.com
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Capraro, V., Boggio, P., Böhm, R., Perc, M., & Sjåstad, H. (2021). Cooperation and acting for the greater good during the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/65xmg
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- Apr 2021
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www.sciencedirect.com www.sciencedirect.com
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Featherstone, J. D., Bell, R. A., & Ruiz, J. B. (2019). Relationship of people’s sources of health information and political ideology with acceptance of conspiratorial beliefs about vaccines. Vaccine, 37(23), 2993–2997. https://doi.org/10.1016/j.vaccine.2019.04.063
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- Mar 2021
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journals.sagepub.com journals.sagepub.com
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Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667
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psyarxiv.com psyarxiv.com
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Šrol, J., Cavojova, V., & Mikušková, E. B. (2021). Social consequences of COVID-19 conspiracy beliefs: Evidence from two studies in Slovakia. PsyArXiv. https://doi.org/10.31234/osf.io/y4svc
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www.jmir.org www.jmir.org
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Morley, Jessica, Josh Cowls, Mariarosaria Taddeo, and Luciano Floridi. ‘Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health’. Journal of Medical Internet Research 22, no. 8 (2020): e19311. https://doi.org/10.2196/19311.
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Cantwell, O., & Kushlev, K. (2020, October 31). Anxiety Talking: Does Anxiety Predict Sharing Information about COVID-19?. https://doi.org/10.31234/osf.io/ah528
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- Dec 2020
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www.autonome-solidarite.fr www.autonome-solidarite.fr
- Nov 2020
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psyarxiv.com psyarxiv.com
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Mulukom, V. van, Pummerer, L., Alper, S., Bai, (Max) Hui, Cavojova, V., Farias, J. E. M., Kay, C. S., Lazarevic, L., Lobato, E. J. C., Marinthe, G., Banai, I. P., Šrol, J., & Zezelj, I. (2020). Antecedents and consequences of COVID-19 conspiracy theories: A rapid review of the evidence. PsyArXiv. https://doi.org/10.31234/osf.io/u8yah
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- Oct 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 October 10, 2020, from https://covid-19.iza.org/publications/dp13574/
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oro.open.ac.uk oro.open.ac.uk
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Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.
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- Sep 2020
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Gallagher, R. J., Doroshenko, L., Shugars, S., Lazer, D., & Welles, B. F. (2020). Sustained Online Amplification of COVID-19 Elites in the United States. ArXiv:2009.07255 [Physics]. http://arxiv.org/abs/2009.07255
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Thread, C. (2020, June 19). Trolls and Tribulations: Social Media and Public Health. Medium. https://medium.com/@gocommonthread/trolls-and-tribulations-social-media-and-public-health-499bf5c8727c
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www.nature.com www.nature.com
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Hu, Y., & Wang, R.-Q. (2020). Understanding the removal of precise geotagging in tweets. Nature Human Behaviour, 1–3. https://doi.org/10.1038/s41562-020-00949-x
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Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
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- Aug 2020
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osf.io osf.io
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Beytía, P., & Infante, C. C. (2020). Digital Pathways, Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yndb7
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covid-19.iza.org covid-19.iza.org
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Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
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Moya, C., Cruz y Celis Peniche, P. D., Kline, M. A., & Smaldino, P. (2020). Dynamics of Behavior Change in the COVID World [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/kxajh
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socialsciences.nature.com socialsciences.nature.com
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Research, B. and S. S. at N. (2020, May 25). Imagining a different online world. Behavioural and Social Sciences at Nature Research. http://socialsciences.nature.com/users/397838-philipp-lorenz-spreen/posts/imagining-a-different-online-world
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www.politifact.com www.politifact.com
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Washington, D. of C. 1100 C. A. N. S. 1300B, & Dc 20036. (n.d.). PolitiFact - Fact-checking ‘Plandemic 2’: Another video full of conspiracy theories about COVID-19. @politifact. Retrieved August 27, 2020, from https://www.politifact.com/article/2020/aug/18/fact-checking-plandemic-2-video-recycles-inaccurat/
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twitter.com twitter.com
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link.aps.org link.aps.org
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Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
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Khanam, K. Z., Srivastava, G., & Mago, V. (2020). The Homophily Principle in Social Network Analysis. ArXiv:2008.10383 [Physics]. http://arxiv.org/abs/2008.10383
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www.youtube.com www.youtube.com
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Webinars in English 🇺🇸—YouTube. (n.d.). Retrieved 24 August 2020, from https://www.youtube.com/playlist?list=PL0n8am2uBRCBUZI5ftm2jQ63tlYrtY4_I
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arxiv.org arxiv.org
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Engelhardt, R., Hendricks, V. F., & Stærk-Østergaard, J. (2020). The Wisdom and Persuadability of Threads. ArXiv:2008.05203 [Physics]. http://arxiv.org/abs/2008.05203
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psyarxiv.com psyarxiv.com
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Paris, Marseille named as high-risk COVID zones, making curbs likelier. (2020, August 14). Reuters. https://uk.reuters.com/article/uk-health-coronavirus-france-idUKKCN25A0LC
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www.nber.org www.nber.org
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Barrios, J. M., & Hochberg, Y. (2020). Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic (Working Paper No. 27008; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27008
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- Jul 2020
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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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www.sciencedirect.com www.sciencedirect.com
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Dimant, E., van Kleef, G. A., & Shalvi, S. (2020). Requiem for a Nudge: Framing effects in nudging honesty. Journal of Economic Behavior & Organization, 172, 247–266. https://doi.org/10.1016/j.jebo.2020.02.015
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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.pscp.tv www.pscp.tv
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JAMA Network - Discussing preprint servers and social media.
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psyarxiv.com psyarxiv.com
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Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye
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psyarxiv.com psyarxiv.com
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Leppanen, J., Tosunlar, L., Blackburn, R., Williams, S., Tchanturia, K., & Sedgewick, F. (2020, July 6). Critical incidents in anorexia nervosa.
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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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www.nature.com www.nature.com
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Yang, G., Csikász-Nagy, A., Waites, W., Xiao, G., & Cavaliere, M. (2020). Information Cascades and the Collapse of Cooperation. Scientific Reports, 10(1), 8004. https://doi.org/10.1038/s41598-020-64800-z
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Kitamura, S., & Yamada, K. (2020). Social Comparisons and Cooperation During COVID-19 [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rsbmz
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Branas-Garza, P., Jorrat, D. A., Alfonso, A., Espin, A. M., García, T., & Kovarik, J. (2020). Exposure to the Covid-19 pandemic and generosity in southern Spain [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/6ktuz
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www.thelancet.com www.thelancet.com
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Paakkari, L., & Okan, O. (2020). COVID-19: Health literacy is an underestimated problem. The Lancet Public Health, S2468266720300864. https://doi.org/10.1016/S2468-2667(20)30086-4
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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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Plata, C. A., Pigani, E., Azaele, S., Callejas, V., Palazzi, M. J., Solé-Ribalta, A., Meloni, S., & Suweis, J. B.-H. S. (2020). Neutral Theory for competing attention in social networks. ArXiv:2006.07586 [Physics]. http://arxiv.org/abs/2006.07586
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Guerrero, R. J. A., Parra, A. B., Cahua, J. C. H., & Banaszak-Holl, J. (2020). Psychological problems associated with coping strategies: A web-based study in Peruvian population during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/uarwz
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Coronavirus Disease (COVID-19): Psychological, Behavioral, Interpersonal Effects, and Clinical Implications for Health Systems | Frontiers Research Topic. (n.d.). Retrieved June 11, 2020, from https://www.frontiersin.org/research-topics/13561/coronavirus-disease-covid-19-psychological-behavioral-interpersonal-effects-and-clinical-implication
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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British Journal of Social Psychology. (n.d.). Wiley Online Library. https://doi.org/10.1111/(ISSN)2044-8309
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podcastnotes.org podcastnotes.org
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Just as journalists should be able to write about anything they want, comedians should be able to do the same and tell jokes about anything they please
where's the line though? every output generates a feedback loop with the hivemind, turning into input to ourselves with our cracking, overwhelmed, filters
it's unrealistic to wish everyone to see jokes are jokes, to rely on journalists to generate unbiased facts, and politicians as self serving leeches, err that's my bias speaking
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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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- May 2020
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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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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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de Montjoye, Y. et al. (2020 April 02). Evaluating COVID-19 contact tracing apps? Here are 8 privacy questions we think you should ask. Computational Privacy Group. https://cpg.doc.ic.ac.uk/blog/evaluating-contact-tracing-apps-here-are-8-privacy-questions-we-think-you-should-ask/
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Fränken, J.-P., & Pilditch, T. (2020). Cascades across networks are sufficient for the formation of echo chambers: An agent-based model. https://doi.org/10.31234/osf.io/8rgkc
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Ciranka, S. K., & van den Bos, W. (2020). A Bayesian Model of Social Influence under Risk and Uncertainty [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mujek
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Brangwynne, C. (2020 April 29). How a Landmark Physics Paper from the 1970s Uncannily Describes the COVID-19 Pandemic. Scientific American Blog Network. https://blogs.scientificamerican.com/observations/how-a-landmark-physics-paper-from-the-1970s-uncannily-describes-the-covid-19-pandemic/
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Hope, T., Borchardt, J., Portenoy, J., Vasan, K., & West, J. (2020, May 6). Exploring the COVID-19 network of scientific research with SciSight. Medium. https://medium.com/ai2-blog/exploring-the-covid-19-network-of-scientific-research-with-scisight-f75373320a8c
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PandemicPolitics. Pandemic politics: Political attitudes and crisis communication. https://www.pandemicpolitics.net
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Espinosa, F. d., Metko, A., Raimondi, M., Impenna, M., & Scognamiglio, E. (2020, April 10). A Model of Support for Families of Children with Autism Living in the COVID-19 Lockdown: Lessons from Italy. https://doi.org/10.31234/osf.io/48cme
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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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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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Psychonomic Society (2020 April 29). Keep Your Social Distance Up (Tips from behavioral scientists to help slow the spread of COVID-19). https://www.youtube.com/watch?v=ZVL66099O0s
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Ammerman, B. A., Burke, T. A., Jacobucci, R., & McClure, K. (2020, April 6). Preliminary Investigation of the Association Between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. https://doi.org/10.31234/osf.io/68djp
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www.apa.org www.apa.org
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Resource List for pandemic and COVID-19 related topics.
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covid19-uk-mobility.github.io covid19-uk-mobility.github.io
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Santana, C., Botta, F., Barbosa, H., Privitera, F., Menezes, R., Di Clemente, R. (2020 April 8). COVID-19 UK mobility report. Covid19-uk-mobility.github.io. https://covid19-uk-mobility.github.io/First-report.html
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arxiv.org arxiv.org
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Koren, M., & Petö, R. (2020, March 20). Business disruptions from social distancing. Cornel University. arXiv:2003.13983.
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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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arxiv.org arxiv.org
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Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. ArXiv:2004.04544 [Physics, q-Bio]. http://arxiv.org/abs/2004.04544
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twitter.com twitter.com
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Michael Veale on Twitter.
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www.bps.org.uk www.bps.org.uk
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British Psychological Society. Responding to Coronavirus: Resources and support. https://www.bps.org.uk/responding-coronavirus
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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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