- Feb 2023
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www.washingtonpost.com www.washingtonpost.com
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“It makes me feel like I need a disclaimer because I feel like it makes you seem unprofessional to have these weirdly spelled words in your captions,” she said, “especially for content that's supposed to be serious and medically inclined.”
Where's the balance for professionalism with respect to dodging the algorithmic filters for serious health-related conversations online?
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- Dec 2022
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www.nature.com www.nature.com
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. Furthermore, our results add to the growing body of literature documenting—at least at this historical moment—the link between extreme right-wing ideology and misinformation8,14,24 (although, of course, factors other than ideology are also associated with misinformation sharing, such as polarization25 and inattention17,37).
Misinformation exposure and extreme right-wing ideology appear associated in this report. Others find that it is partisanship that predicts susceptibility.
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And finally, at the individual level, we found that estimated ideological extremity was more strongly associated with following elites who made more false or inaccurate statements among users estimated to be conservatives compared to users estimated to be liberals. These results on political asymmetries are aligned with prior work on news-based misinformation sharing
This suggests the misinformation sharing elites may influence whether followers become more extreme. There is little incentive not to stoke outrage as it improves engagement.
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www.nature.com www.nature.com
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Exposure to elite misinformation is associated with sharing news from lower-quality outlets and with conservative estimated ideology.
Shown is the relationship between users’ misinformation-exposure scores and (a) the quality of the news outlets they shared content from, as rated by professional fact-checkers21, (b) the quality of the news outlets they shared content from, as rated by layperson crowds21, and (c) estimated political ideology, based on the ideology of the accounts they follow10. Small dots in the background show individual observations; large dots show the average value across bins of size 0.1, with size of dots proportional to the number of observations in each bin.
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ieeexplore.ieee.org ieeexplore.ieee.org
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We applied two scenarios to compare how these regular agents behave in the Twitter network, with and without malicious agents, to study how much influence malicious agents have on the general susceptibility of the regular users. To achieve this, we implemented a belief value system to measure how impressionable an agent is when encountering misinformation and how its behavior gets affected. The results indicated similar outcomes in the two scenarios as the affected belief value changed for these regular agents, exhibiting belief in the misinformation. Although the change in belief value occurred slowly, it had a profound effect when the malicious agents were present, as many more regular agents started believing in misinformation.
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www.mdpi.com www.mdpi.com
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Therefore, although the social bot individual is “small”, it has become a “super spreader” with strategic significance. As an intelligent communication subject in the social platform, it conspired with the discourse framework in the mainstream media to form a hybrid strategy of public opinion manipulation.
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There were 120,118 epidemy-related tweets in this study, and 34,935 Twitter accounts were detected as bot accounts by Botometer, accounting for 29%. In all, 82,688 Twitter accounts were human, accounting for 69%; 2495 accounts had no bot score detected.In social network analysis, degree centrality is an index to judge the importance of nodes in the network. The nodes in the social network graph represent users, and the edges between nodes represent the connections between users. Based on the network structure graph, we may determine which members of a group are more influential than others. In 1979, American professor Linton C. Freeman published an article titled “Centrality in social networks conceptual clarification“, on Social Networks, formally proposing the concept of degree centrality [69]. Degree centrality denotes the number of times a central node is retweeted by other nodes (or other indicators, only retweeted are involved in this study). Specifically, the higher the degree centrality is, the more influence a node has in its network. The measure of degree centrality includes in-degree and out-degree. Betweenness centrality is an index that describes the importance of a node by the number of shortest paths through it. Nodes with high betweenness centrality are in the “structural hole” position in the network [69]. This kind of account connects the group network lacking communication and can expand the dialogue space of different people. American sociologist Ronald S. Bert put forward the theory of a “structural hole” and said that if there is no direct connection between the other actors connected by an actor in the network, then the actor occupies the “structural hole” position and can obtain social capital through “intermediary opportunities”, thus having more advantages.
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We analyzed and visualized Twitter data during the prevalence of the Wuhan lab leak theory and discovered that 29% of the accounts participating in the discussion were social bots. We found evidence that social bots play an essential mediating role in communication networks. Although human accounts have a more direct influence on the information diffusion network, social bots have a more indirect influence. Unverified social bot accounts retweet more, and through multiple levels of diffusion, humans are vulnerable to messages manipulated by bots, driving the spread of unverified messages across social media. These findings show that limiting the use of social bots might be an effective method to minimize the spread of conspiracy theories and hate speech online.
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- Aug 2022
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securingdemocracy.gmfus.org securingdemocracy.gmfus.org
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Schafer, B. (2021, October 5). RT Deutsch Finds a Home with Anti-Vaccination Skeptics in Germany. Alliance For Securing Democracy. https://securingdemocracy.gmfus.org/rt-deutsch-youtube-antivaccination-germany/
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www.penguinrandomhouse.ca www.penguinrandomhouse.ca
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Caulfield, T. (2017, October 24). The Vaccination Picture by Timothy Caulfield. Penguin Random House Canada. https://www.penguinrandomhouse.ca/books/565776/the-vaccination-picture-by-timothy-caulfield/9780735234994
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Meet the media startups making big money on vaccine conspiracies. (n.d.). Fortune. Retrieved December 23, 2021, from https://fortune.com/2021/05/14/disinformation-media-vaccine-covid19/
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- Apr 2022
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twitter.com twitter.com
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Stefan Simanowitz. (2021, March 18). 1/. The PM claims that the govt “stuck to the science like glue” But this is not true At crucial times they ignored the science or concocted pseudo-scientific justifications for their actions & inaction This thread, & the embedded threads, set them out https://t.co/dhXqkSL1bz [Tweet]. @StefSimanowitz. https://twitter.com/StefSimanowitz/status/1372460227619135493
Tags
- behavioural fatigue
- care homes
- delaying lockdown
- lang:en
- epidemiology
- spread infection
- government policy
- pseudo-scientific justifications
- vaccine
- public health
- COVID-19
- transmission
- BBC
- public communication
- misinformation
- reasoning
- media narrative
- Boris Johnson
- herd immunity
- is:twitter
- asymptomatic
Annotators
URL
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twitter.com twitter.com
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Virpi Flyg on Twitter. (n.d.). Twitter. Retrieved 1 April 2022, from https://twitter.com/VirpiFlyg/status/1452995562224201736
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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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gothamist.com gothamist.com
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How cherry-picking science became the center of the anti-mask movement. (2022, February 14). Gothamist. https://gothamist.com
Tags
- face mask
- partisanship
- lang:en
- children
- government
- social distancing
- science
- COVID-19
- is:news
- scientific evidence
- Republican
- education
- cherry-picking
- misinformation
- paediatric
- Democrat
- mask mandate
- school
- political spectrum
- public health measure
- behavioral science
- vaccine
- social media
- normalcy
- New York
- fact check
- mortality
- policy
- psychology
- effectiveness
- protection
- mask wearing
- vaccination rate
- conservative
Annotators
URL
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healthydebate.ca healthydebate.ca
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Enough with the harassment: How to deal with anti-vax cults. (2022, January 26). Healthy Debate. https://healthydebate.ca/2022/01/topic/how-to-deal-with-anti-vax-cults/
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- Jan 2022
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globalnews.ca globalnews.ca
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Some trucker convoy organizers have history of white nationalism, racism—National | Globalnews.ca. (n.d.). Global News. Retrieved January 31, 2022, from https://globalnews.ca/news/8543281/covid-trucker-convoy-organizers-hate/
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psyarxiv.com psyarxiv.com
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Jones, C. M., Diethei, D., Schöning, J., Shrestha, R., Jahnel, T., & Schüz, B. (2021). Social reference cues can reduce misinformation sharing behaviour on social media. PsyArXiv. https://doi.org/10.31234/osf.io/v6fc9
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- Dec 2021
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twitter.com twitter.com
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Deepti Gurdasani. (2021, December 23). Some brief thoughts on the concerning relativism I’ve seen creeping into media, and scientific rhetoric over the past 20 months or so—The idea that things are ok because they’re better relative to a point where things got really really bad. 🧵 [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1474042179110772736
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twitter.com twitter.com
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Timothy Caulfield. (2021, December 14). @LuisSchang @joerogan The Great Conspiracy Theory Paradox! Https://t.co/sEPuwvXJKp [Tweet]. @CaulfieldTim. https://twitter.com/CaulfieldTim/status/1470818785867153408
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journalistsresource.org journalistsresource.org
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How to report on public officials who spread misinformation. (2021, December 8). The Journalist’s Resource. https://journalistsresource.org/home/covering-misinformation-tips/
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- Nov 2021
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unherd.com unherd.com
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The Left’s Covid failure. (2021, November 23). UnHerd. https://unherd.com/2021/11/the-lefts-covid-failure/
Tags
- is:webpage
- working class
- left-wing
- lang:en
- COVID passport
- vaccination
- epidemiology
- socio-economic
- political spectrum
- government
- vaccine
- lockdown
- science
- public health
- social media
- COVID-19
- transmission
- political affiliation
- mainstream
- Western society
- polarization
- policy
- socialism
- economics
- economy
- right-wing
- strategy
- intervention
- neoliberalism
- income
Annotators
URL
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syndication.thecanadianpress.com syndication.thecanadianpress.com
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Facebook froze as anti-vaccine comments swarmed users. (n.d.). MSN. Retrieved November 12, 2021, from https://www.msn.com/en-ca/news/science/facebook-froze-as-anti-vaccine-comments-swarmed-users/ar-AAPY06U
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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
- is:webpage
- anti-vaccine
- lang:en
- disinformation
- campaign
- vaccine confidence
- vaccine
- online
- speaking engagement
- social media
- COVID-19
- USA
- mortality
- misconception
- infodemic
- safety
- young people
- public confidence
- health information
- misinformation
- risk
- trust
- FDA
- vaccination rate
- data
- BIPOC
- vaccine effectiveness
- immunization
Annotators
URL
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- Oct 2021
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psyarxiv.com psyarxiv.com
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Thaker, J., & Richardson, L. (2021). COVID-19 Vaccine Segments in Australia: An Audience Segmentation Analysis to Improve Vaccine Uptake [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y85nm
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Sutton, J. (2018). Health Communication Trolls and Bots Versus Public Health Agencies’ Trusted Voices. American Journal of Public Health, 108(10), 1281–1282. https://doi.org/10.2105/AJPH.2018.304661
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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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blog.gdeltproject.org blog.gdeltproject.org
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Quantifying The COVID-19 Public Health Media Narrative Through TV & Radio News Analysis – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/quantifying-the-covid-19-public-health-media-narrative-through-tv-radio-news-analysis/
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publichealthcollaborative.org publichealthcollaborative.org
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Misinformation Alerts - Public Health Communications Collaborative. (n.d.). Public Health Communication Collaborative. Retrieved September 24, 2021, from https://publichealthcollaborative.org/misinformation-alerts/
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www.frontiersin.org www.frontiersin.org
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Clift, A. K., von Ende, A., Tan, P. S., Sallis, H. M., Lindson, N., Coupland, C. A. C., Munafò, M. R., Aveyard, P., Hippisley-Cox, J., & Hopewell, J. C. (2021). Smoking and COVID-19 outcomes: An observational and Mendelian randomisation study using the UK Biobank cohort. Thorax, thoraxjnl-2021-217080. https://doi.org/10.1136/thoraxjnl-2021-217080
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- Sep 2021
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psyarxiv.com psyarxiv.com
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Bai, H. (2021). Fake News Known as Fake Still Changes Beliefs and Leads to Partisan Polarization [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v9gax
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- Aug 2021
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www.theguardian.com www.theguardian.com
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‘Spreading like a virus’: Inside the EU’s struggle to debunk Covid lies | World news | The Guardian. (n.d.). Retrieved August 18, 2021, from https://www.theguardian.com/world/2021/aug/17/spreading-like-a-virus-inside-the-eus-struggle-to-debunk-covid-lies?CMP=Share_iOSApp_Other
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www.washingtonpost.com www.washingtonpost.com
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The Daily 202: Nearly 30 groups urge Facebook, Instagram, Twitter to take down vaccine disinformation—The Washington Post. (n.d.). Retrieved August 2, 2021, from https://www.washingtonpost.com/politics/2021/07/19/daily-202-nearly-30-groups-urge-facebook-instagram-twitter-take-down-vaccine-disinformation/?utm_source=twitter&utm_campaign=wp_main&utm_medium=social
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- Jul 2021
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www.cbc.ca www.cbc.ca
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What the World Health Organization really said about mixing COVID-19 vaccines | CBC News. (n.d.). Retrieved July 15, 2021, from https://www.cbc.ca/news/health/covid-19-vaccine-mixing-and-matching-who-1.6101047?__vfz=medium%3Dsharebar
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- Jun 2021
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twitter.com twitter.com
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Deepti Gurdasani on Twitter: “I’m still utterly stunned by yesterday’s events—Let me go over this in chronological order & why I’m shocked. - First, in the morning yesterday, we saw a ‘leaked’ report to FT which reported on @PHE_uk data that was not public at the time🧵” / Twitter. (n.d.). Retrieved June 27, 2021, from https://twitter.com/dgurdasani1/status/1396373990986375171
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www.washingtonpost.com www.washingtonpost.com
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Only in our anti-truth hellscape could Anthony Fauci become a supervillain—The Washington Post. (n.d.). Retrieved June 16, 2021, from https://www.washingtonpost.com/lifestyle/media/sullivan-fauci-emails/2021/06/09/8b0724a8-c93a-11eb-81b1-34796c7393af_story.html
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- May 2021
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phirephoenix.com phirephoenix.com
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Amidst the global pandemic, this might sound not dissimilar to public health. When I decide whether to wear a mask in public, that’s partially about how much the mask will protect me from airborne droplets. But it’s also—perhaps more significantly—about protecting everyone else from me. People who refuse to wear a mask because they’re willing to risk getting Covid are often only thinking about their bodies as a thing to defend, whose sanctity depends on the strength of their individual immune system. They’re not thinking about their bodies as a thing that can also attack, that can be the conduit that kills someone else. People who are careless about their own data because they think they’ve done nothing wrong are only thinking of the harms that they might experience, not the harms that they can cause.
What lessons might we draw from public health and epidemiology to improve our privacy lives in an online world? How might we wear social media "masks" to protect our friends and loved ones from our own posts?
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www.thelancet.com www.thelancet.com
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Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
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Chang, H.-C. H., Chen, E., Zhang, M., Muric, G., & Ferrara, E. (2021). Social Bots and Social Media Manipulation in 2020: The Year in Review. ArXiv:2102.08436 [Cs]. http://arxiv.org/abs/2102.08436
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thebiologist.rsb.org.uk thebiologist.rsb.org.uk
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‘I’m ridiculously positive about the media’s coverage of COVID-19.’ (n.d.). RSB. Retrieved February 13, 2021, from https://www.rsb.org.uk//biologist-covid-19/189-biologist/biologist-covid-19/2568-fiona-fox-interview
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The Data Visualizations Behind COVID-19 Skepticism. (n.d.). The Data Visualizations Behind COVID-19 Skepticism. Retrieved March 27, 2021, from http://vis.csail.mit.edu/covid-story/
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- Apr 2021
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www.sciencedirect.com www.sciencedirect.com
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Lutkenhaus, R. O., Jansz, J., & Bouman, M. P. A. (2019). Mapping the Dutch vaccination debate on Twitter: Identifying communities, narratives, and interactions. Vaccine: X, 1. https://doi.org/10.1016/j.jvacx.2019.100019
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direct.mit.edu direct.mit.edu
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Berman, J. M. (2020). Anti-vaxxers: How to Challenge a Misinformed Movement. https://doi.org/10.7551/mitpress/12242.001.0001
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www.tandfonline.com www.tandfonline.com
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Smith, N., & Graham, T. (2019). Mapping the anti-vaccination movement on Facebook. Information, Communication & Society, 22(9), 1310–1327. https://doi.org/10.1080/1369118X.2017.1418406
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- Mar 2021
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blogs.bmj.com blogs.bmj.com
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You cannot practice public health without engaging in politics. (2021, March 29). The BMJ. https://blogs.bmj.com/bmj/2021/03/29/you-cannot-practice-public-health-without-engaging-in-politics/
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www.tandfonline.com www.tandfonline.com
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Meleo-Erwin, Z., Basch, C., MacLean, S. A., Scheibner, C., & Cadorett, V. (2017). “To each his own”: Discussions of vaccine decision-making in top parenting blogs. Human Vaccines & Immunotherapeutics, 13(8), 1895–1901. https://doi.org/10.1080/21645515.2017.1321182
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journals.plos.org journals.plos.org
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Gesser-Edelsburg, A., Diamant, A., Hijazi, R., & Mesch, G. S. (2018). Correcting misinformation by health organizations during measles outbreaks: A controlled experiment. PLOS ONE, 13(12), e0209505. https://doi.org/10.1371/journal.pone.0209505
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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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papers.ssrn.com papers.ssrn.com
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Krupenkin, Masha, Kai Zhu, Dylan Walker, and David M. Rothschild. ‘If a Tree Falls in the Forest: COVID-19, Media Choices, and Presidential Agenda Setting’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 22 September 2020. https://doi.org/10.2139/ssrn.3697069.
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twitter.com twitter.com
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Dante Licona. (2020, December 8). What can NGOs, government and public institutions do on TikTok? Today @melisfiganmese and I shared some insights at #EuroPCom, the @EU_CoR conference for public communication. We were asked to talk about upcoming social media trends. Here’s a thread with some insights👇 https://t.co/GzOA66vstQ [Tweet]. @Dante_Licona. https://twitter.com/Dante_Licona/status/1336303773334069251
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- Feb 2021
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offthesilkroad.com offthesilkroad.com
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Renton, B. (2020, January 27). Coronavirus Updates. Off the Silk Road. http://offthesilkroad.com/2020/01/27/wuhan-coronavirus-updates/
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www.wired.com www.wired.com
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Ogbunu, B. C. (2020, October 27). The Science That Spans #MeToo, Memes, and Covid-19. Wired. https://www.wired.com/story/the-science-that-spans-metoo-memes-and-covid-19/
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www.thelancet.com www.thelancet.com
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Horton, Richard. ‘Offline: Science and Politics in the Era of COVID-19’. The Lancet 396, no. 10259 (24 October 2020): 1319. https://doi.org/10.1016/S0140-6736(20)32221-2.
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blogs.bmj.com blogs.bmj.com
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David Oliver: Covid deniers’ precarious Jenga tower is collapsing on contact with reality. (2021, February 1). The BMJ. https://blogs.bmj.com/bmj/2021/02/01/david-oliver-covid-deniers-precarious-jenga-tower-is-collapsing-on-contact-with-reality/
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psyarxiv.com psyarxiv.com
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Reinders Folmer, C., Brownlee, M., Fine, A., Kuiper, M. E., Olthuis, E., Kooistra, E. B., … van Rooij, B. (2020, October 7). Social Distancing in America: Understanding Long-term Adherence to Covid-19 Mitigation Recommendations. https://doi.org/10.31234/osf.io/457em
Tags
- Compliance
- Capacity
- Emotions
- Impulsivity
- Social distancing
- lang:en
- Pandemic compliance
- Obligation to obey the law
- Procedural justice
- Detterence
- COVID-19
- USA
- Oppurtunity
- is:preprtint
- Trust in media
- Political orientation
- Trust in science
- Health behaviours
- Social norms
- Adherence
- Partisianship
- Public health behaviours
Annotators
URL
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- Oct 2020
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www.youtube.com www.youtube.com
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The impact of Covid-19 on media – rise of infodemics? (2020, September 16). https://www.youtube.com/watch?v=QapwrR9C3Z4&feature=youtu.be&ab_channel=InternationalDayofDemocracyEU
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www.coe.int www.coe.int
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AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus
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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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- Aug 2020
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www.youtube.com www.youtube.com
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COVIDConversations: Protecting Children/Adolescents’ Mental Health with Professors Stein & Blakemore. (2020, June 24). https://www.youtube.com/watch?v=laYyNumPQEA&feature=emb_logo
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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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- Jul 2020
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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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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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Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
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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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- Jun 2020
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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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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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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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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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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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- May 2020
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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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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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- Apr 2020
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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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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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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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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
- information
- data collection
- knowledge
- is:preprint
- lang:en
- general public
- media
- prevention
- precaution
- perception
- questionnaire
- lockdown
- public health
- behavior
- COVID-19
- transmission
- news
- symptom
- misconception
- China
- infection
- descriptive statistics
- health information
- misinformation
- Nigeria
Annotators
URL
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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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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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