- Oct 2023
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checkpleasecc.notion.site checkpleasecc.notion.site
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https://checkpleasecc.notion.site/checkpleasecc/Check-Please-Starter-Course-ae34d043575e42828dc2964437ea4eed
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- Oct 2022
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interaksyon.philstar.com interaksyon.philstar.com
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Edgerly noted that disinformation spreads through two ways: The use of technology and human nature.Click-based advertising, news aggregation, the process of viral spreading and the ease of creating and altering websites are factors considered under technology.“Facebook and Google prioritize giving people what they ‘want’ to see; advertising revenue (are) based on clicks, not quality,” Edgerly said.She noted that people have the tendency to share news and website links without even reading its content, only its headline. According to her, this perpetuates a phenomenon of viral spreading or easy sharing.There is also the case of human nature involved, where people are “most likely to believe” information that supports their identities and viewpoints, Edgerly cited.“Vivid, emotional information grabs attention (and) leads to more responses (such as) likes, comments, shares. Negative information grabs more attention than (the) positive and is better remembered,” she said.Edgerly added that people tend to believe in information that they see on a regular basis and those shared by their immediate families and friends.
Spreading misinformation and disinformation is really easy in this day and age because of how accessible information is and how much of it there is on the web. This is explained precisely by Edgerly. Noted in this part of the article, there is a business for the spread of disinformation, particularly in our country. There are people who pay what we call online trolls, to spread disinformation and capitalize on how “chronically online” Filipinos are, among many other factors (i.e., most Filipinos’ information illiteracy due to poverty and lack of educational attainment, how easy it is to interact with content we see online, regardless of its authenticity, etc.). Disinformation also leads to misinformation through word-of-mouth. As stated by Edgerly in this article, “people tend to believe in information… shared by their immediate families and friends”; because of people’s human nature to trust the information shared by their loved ones, if one is not information literate, they will not question their newly received information. Lastly, it most certainly does not help that social media algorithms nowadays rely on what users interact with; the more that a user interacts with a certain information, the more that social media platforms will feed them that information. It does not help because not all social media websites have fact checkers and users can freely spread disinformation if they chose to.
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- Aug 2022
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www.sciencedirect.com www.sciencedirect.com
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Warner, E. L., Barbati, J. L., Duncan, K. L., Yan, K., & Rains, S. A. (2022). Vaccine misinformation types and properties in Russian troll tweets. Vaccine. https://doi.org/10.1016/j.vaccine.2021.12.040
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www.who.int www.who.int
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How to report misinformation. (n.d.). Retrieved August 27, 2021, from https://www.who.int/campaigns/connecting-the-world-to-combat-coronavirus/how-to-report-misinformation-online
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- Apr 2022
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twitter.com twitter.com
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- Mar 2022
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Tags
- online misinformation
- lang:en
- artificial account
- one-sided automation
- social media
- modeling
- herd immunity
- inorganic activity
- transmission
- is:article
- bot
- conversation
- misinformation
- COVID-19
Annotators
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fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/ -
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twitter.com twitter.com
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Prof Peter Hotez MD PhD. (2021, December 30). When the antivaccine disinformation crowd declares twisted martyrdom when bumped from social media or condemned publicly: They contributed to the tragic and needless loss of 200,000 unvaccinated Americans since June who believed their antiscience gibberish. They’re the aggressors [Tweet]. @PeterHotez. https://twitter.com/PeterHotez/status/1476393357006065670
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Arechar, A. A., Allen, J. N. L., berinsky, a., Cole, R., Epstein, Z., Garimella, K., … Rand, D. G. (2022, February 11). Understanding and Reducing Online Misinformation Across 16 Countries on Six Continents. https://doi.org/10.31234/osf.io/a9frz
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- Feb 2022
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www.cbc.ca www.cbc.ca
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Smyth, G., & News ·, L. D. · C. (2022, February 9). 2 B.C. doctors went on a COVID-19 speaking tour. Colleagues say their misinformation put public at risk | CBC News. CBC. https://www.cbc.ca/news/canada/british-columbia/bc-doctors-covid-misinformation-1.6334580
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www.medicalnewstoday.com www.medicalnewstoday.com
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How does COVID-19 misinformation compare with other health topics? (2022, January 19). https://www.medicalnewstoday.com/articles/covid-19-misinformation-was-entirely-predictable-experts-say
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Navlakha, M. (2022, January 24). On Substack, COVID misinformation is allowed to flourish. Mashable. https://mashable.com/article/substack-covid-misinformation
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- Jan 2022
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Defeat The Mandates: Green Our Vaccines reconstituted for COVID-19. (2022, January 21). RESPECTFUL INSOLENCE. https://respectfulinsolence.com/2022/01/21/defeat-the-mandates-green-our-vaccines-reconstituted-for-covid-19/
Tags
- lang:en
- Green Our Vaccine
- rally
- politics
- children
- propaganda
- USA
- Joe Rogan
- anti-mandate
- defeat the mandate
- anti-vaxxer movement
- COVID-19
- is:webpage
- online platform
- podcast
- vaccine
- anti-vaccine
- social media
- conspiracy theory
- disinformation
- protest
- vaccine mandate
- misinformation
- medicine
- natural immunity
Annotators
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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
- technology
- policymaker
- deepfake
- lang:en
- information environment
- bots
- scientific information
- online platform
- is:webpage
- interaction
- behavioral science
- vaccine
- shallowfake
- academic
- misleading
- malinformation
- social media
- provenance enhancing technology
- climate change
- information
- decision making
- censorship
- misinformation
- science
- public trust
- search engine
Annotators
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libguides.norquest.ca libguides.norquest.ca
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Fulton-Lyne, L. (n.d.). Research Guides: Misinformation: Misinformation Course. Retrieved January 17, 2022, from https://libguides.norquest.ca/fakenews/course
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- Dec 2021
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psyarxiv.com psyarxiv.com
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Ning, C., Wu, H., & Liu, Y. (2021). Deliberation in health-related headlines. PsyArXiv. https://doi.org/10.31234/osf.io/e5bn7
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www.vice.com www.vice.com
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How the Far-Right Is Radicalizing Anti-Vaxxers. (n.d.). Retrieved December 2, 2021, from https://www.vice.com/en/article/88ggqa/how-the-far-right-is-radicalizing-anti-vaxxers
Tags
- extremism
- lang:en
- neo-Nazi
- online community
- UK
- USA
- moderation
- COVID-19
- is:webpage
- vaccine
- mandate
- Telegram
- anti-government
- anti-vaccine
- social media
- far-right
- right-wing
- antisemitism
- protest
- ideology
- conspiracy theory
- vaccine hesitancy
- disinformation
- radicalization
- nationalist
- misinformation
- anti-vaxxer
- British National Party
- anti-lockdown
Annotators
URL
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- Nov 2021
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www.theguardian.com www.theguardian.com
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Wiseman, E. (2021, October 17). The dark side of wellness: The overlap between spiritual thinking and far-right conspiracies. The Observer. https://www.theguardian.com/lifeandstyle/2021/oct/17/eva-wiseman-conspirituality-the-dark-side-of-wellness-how-it-all-got-so-toxic
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- mental health
- lang:en
- online community
- science
- trust
- health
- spirituality
- conspirituality
- debunking
- uncertainty
- influencer
- infodemic
- social media
- anti-vaccine
- psychology
- pseudoscience
- wellbeing
- ideology
- Center for Countering Digital Hate
- worldview
- conspiracy theory
- disinformation
- QAnon
- is:news
- wellness industry
- right wing
- policy
- misinformation
- wellness
Annotators
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dl.acm.org dl.acm.org
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Juneja, P., & Mitra, T. (2021). Auditing E-Commerce Platforms for Algorithmically Curated Vaccine Misinformation. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–27). Association for Computing Machinery. https://doi.org/10.1145/3411764.3445250
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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
- lang:en
- mortality
- vaccination rate
- USA
- trust
- vaccine confidence
- speaking engagement
- COVID-19
- is:webpage
- risk
- misconception
- vaccine
- FDA
- health information
- vaccine effectiveness
- infodemic
- social media
- anti-vaccine
- data
- BIPOC
- campaign
- immunization
- safety
- young people
- disinformation
- online
- misinformation
- public confidence
Annotators
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- Oct 2021
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knowablemagazine.org knowablemagazine.org
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How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads
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www.cbc.ca www.cbc.ca
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News ·, M. C. · C. (2021, September 21). Misinformation on Reddit has become unmanageable, Alberta moderators say | CBC News. CBC. https://www.cbc.ca/news/canada/edmonton/misinformation-alberta-reddit-unmanageable-moderators-1.6179120
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www.nature.com www.nature.com
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Roozenbeek, J., & van der Linden, S. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communications, 5(1), 1–10. https://doi.org/10.1057/s41599-019-0279-9
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2021). Nudging social media sharing towards accuracy. PsyArXiv. https://doi.org/10.31234/osf.io/tp6vy
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- Aug 2021
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psyarxiv.com psyarxiv.com
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Chen, Cathy Xi, Gordon Pennycook, and David Rand. ‘What Makes News Sharable on Social Media?’ PsyArXiv, 9 July 2021. https://doi.org/10.31234/osf.io/gzqcd.
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- Jun 2021
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- Mar 2021
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reader.elsevier.com reader.elsevier.com
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Kata, A. (2012). Anti-vaccine activists, Web 2.0, and the postmodern paradigm – An overview of tactics and tropes used online by the anti-vaccination movement. Vaccine, 30(25), 3778–3789. https://doi.org/10.1016/j.vaccine.2011.11.112
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Xu, Z., & Guo, H. (2018). Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies, 69(1), 103–122. https://doi.org/10.1080/10510974.2017.1414068
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Bergot, N. (2020, October 24). Battling fake science: University of Alberta launches free online science literacy course. Edmonton Journal. https://edmontonjournal.com/news/local-news/battling-fake-science-ualberta-launches-free-online-science-literacy-course
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- Feb 2021
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fsi.stanford.edu fsi.stanford.edu
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Wenner, A. (2020, October 28). Society Needs to Adapt to a World of Widespread Disinformation. https://Fsi.Stanford.Edu/. https://fsi.stanford.edu/news/society-needs-adapt-world-widespread-disinformation
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- Jan 2021
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US pharmacist who tried to ruin Covid vaccine doses is a conspiracy theorist, police say. (2021, January 5). The Guardian. http://www.theguardian.com/us-news/2021/jan/04/wisconsin-pharmacist-covid-19-vaccine-doses-steven-brandenburg
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- Dec 2020
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twitter.com twitter.com
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Ivor Cummins @FatEmperor (2020) Here you go, debunking debunked - though I'm not wasting any more of my time on this twaddle! Twitter. Retrieved from: https://twitter.com/i/web/status/1306270671887101954
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2020). The Cognitive Science of Fake News. PsyArXiv. https://doi.org/10.31234/osf.io/ar96c
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- Oct 2020
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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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ajph.aphapublications.org ajph.aphapublications.org
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Scherer, L. D., & Pennycook, G. (2020). Who Is Susceptible to Online Health Misinformation? American Journal of Public Health, 110(S3), S276–S277. https://doi.org/10.2105/AJPH.2020.305908
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- Aug 2020
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Online Harms & Disinformation Post-COVID. (n.d.). Retrieved 20 August 2020, from https://www.youtube.com/watch?v=N2BmRuXbNhk
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- Jul 2020
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www.youtube.com www.youtube.com
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Wikimedia Foundation. (2020, June 15). COVID-19 and human rights: How to share the facts on Wikipedia. Youtube. https://www.youtube.com/watch?v=kktZtDFhRho
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- Jun 2020
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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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Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2019, December 4). Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools. https://doi.org/10.31234/osf.io/ky4x8
Tags
- nudging
- lang:en
- self-nudging
- fake news
- online manipulation
- AI
- algorithm
- digital
- reasoning
- internet
- is:preprint
- technocognition
- artificial intelligence
- attention economy
- disinformation
- decision aid
- behavioral policy
- cognitive tools
- decision autonomy
- boosting
- online behavior
- misinformation
- choice architecture
Annotators
URL
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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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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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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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link.springer.com link.springer.com
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Stokes, D. C., Andy, A., Guntuku, S. C., Ungar, L. H., & Merchant, R. M. (2020). Public Priorities and Concerns Regarding COVID-19 in an Online Discussion Forum: Longitudinal Topic Modeling. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-020-05889-w
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- May 2020
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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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@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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Johnson, N.F., Velásquez, N., Restrepo, N.J. et al. The online competition between pro- and anti-vaccination views. Nature (2020). https://doi.org/10.1038/s41586-020-2281-1
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- Apr 2020
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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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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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www.researchprofessionalnews.com www.researchprofessionalnews.com
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Breckon, J. (2020 April 16). Seven welcome Covid-19 trends. Researchprofessionalnews.com. https://www.researchprofessionalnews.com/rr-news-uk-views-of-the-uk-2020-4-seven-welcome-covid-19-trends/
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