This list is particularly good.

Proper regulation of end to end services would encourage the creation of filtering and other tools which would tend to benefit users rather than benefit the rent seeking of the corporations which own the pipes.

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.

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

Buder, J., Zimmermann, A., Buttliere, B., Rabl, L., & Huff, M. (2022, January 14). Online interaction turns the congeniality bias into an uncongeniality bias. https://doi.org/10.31234/osf.io/r87bm

ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144

Social Media Conversations in Support of Herd Immunity are Driven by Bots. (n.d.). Federation Of American Scientists. Retrieved March 31, 2022, from https://fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/

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

Navlakha, M. (2022, January 24). On Substack, COVID misinformation is allowed to flourish. Mashable. https://mashable.com/article/substack-covid-misinformation

Grüning, D. J., Panizza, F., & Lorenz-Spreen, P. (2022). The importance of informative interventions in a wicked environment. PsyArXiv. https://doi.org/10.31234/osf.io/azsbn

Garland, J., Ghazi-Zahedi, K., Young, J.-G., Hébert-Dufresne, L., & Galesic, M. (2022). Impact and dynamics of hate and counter speech online. EPJ Data Science, 11(1), 1–24. https://doi.org/10.1140/epjds/s13688-021-00314-6

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/

https://lapl.kanopy.com/

The online information environment | Royal Society. (n.d.). Retrieved January 21, 2022, from https://royalsociety.org/topics-policy/projects/online-information-environment/

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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

Linda Clauson. (2021, November 6). Join us for the Scope and Scale of Online Intimidation: How social media is a tool for both supporting and disrupting the circulation of credible info and analysis. With @CaulfieldTim, @whkchun @gruzd @JuliaMWrightDal Register here: Https://events.myconferencesuite.com/RSC_COEE2021/reg/landing https://t.co/SY4ZjGF2Me [Tweet]. @lindaz_clauson. https://twitter.com/lindaz_clauson/status/1457067508171780105

https://www.theguardian.com/technology/2021/nov/03/what-does-tech-take-from-us-meet-the-writer-who-has-counted-100-big-losses

A brief review/interview with a book author who eschews many new technologies and why.

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

How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads

Pennycook, G., & Rand, D. (2021). Nudging social media sharing towards accuracy. PsyArXiv. https://doi.org/10.31234/osf.io/tp6vy

Using The Global Quotation Graph To Examine Statements About Covid-19 Vaccination And Infertility Or Bell’s Palsy – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/using-the-global-quotation-graph-to-examine-statements-about-covid-19-vaccination-and-infertility-or-bells-palsy/

Misinformation Alerts - Public Health Communications Collaborative. (n.d.). Public Health Communication Collaborative. Retrieved September 24, 2021, from https://publichealthcollaborative.org/misinformation-alerts/

Hosseinmardi, H., Ghasemian, A., Clauset, A., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Examining the consumption of radical content on YouTube. Proceedings of the National Academy of Sciences, 118(32), e2101967118. https://doi.org/10.1073/pnas.2101967118

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.

What sort of spaces do newsletters create based upon their modes of delivery? What makes them "safer" for marginalized groups? Is there a mitigation of algorithmic speed and reach that helps? Is it a more tacit building of community and conversation? How can these benefits be built into an IndieWeb space?

How can a platform provide "reach" while simultaneously creating negative feedback for trolls and bad actors?

Jung, Y., Lee, Y. K., & Hahn, S. (2021). Web-scraping the Expression of Loneliness during COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/59gwk

The Anti-Vaxx Playbook | Center for Countering Digital Hate. (n.d.). Retrieved June 26, 2021, from https://www.counterhate.com/playbook

Morrison, M., Merlo, K., & Woessner, Z. (2021). How to boost the impact of scientific conferences [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/895gt

Mosleh, M., Pennycook, G., & Rand, D. G. (2021). Field experiments on social media [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/dgmc2

A strong list of toxic behaviors that are meant to keep people from having a voice in the online commons. We definitely need to design these features out of our social software.

Darren Dahly. (2021, February 24). @SciBeh One thought is that we generally don’t ‘press’ strangers or even colleagues in face to face conversations, and when we do, it’s usually perceived as pretty aggressive. Not sure why anyone would expect it to work better on twitter. Https://t.co/r94i22mP9Q [Tweet]. @statsepi. https://twitter.com/statsepi/status/1364482411803906048

Gallacher, J., & Bright, J. (2021). Hate Contagion: Measuring the spread and trajectory of hate on social media. PsyArXiv. https://doi.org/10.31234/osf.io/b9qhd

Helmus, Todd C., James V. Marrone, Marek N. Posard, and Danielle Schlang. ‘Russian Propaganda Hits Its Mark: Experimentally Testing the Impact of Russian Propaganda and Counter-Interventions’, 15 October 2020. https://www.rand.org/pubs/research_reports/RRA704-3.html.

Simone, Costanza De, Antonella Battisti, and Azzurra Ruggeri. “Differential Impact of Web Habits and Active Navigation on Adolescents’ Online Learning.” PsyArXiv, March 1, 2021. https://doi.org/10.31234/osf.io/hsvc4.

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

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

Pennycook, G., & Rand, D. (2020). The Cognitive Science of Fake News. PsyArXiv. https://doi.org/10.31234/osf.io/ar96c

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

Elmas, T., Overdorf, R., Akgül, Ö. F., & Aberer, K. (2020). Misleading Repurposing on Twitter. ArXiv:2010.10600 [Cs]. http://arxiv.org/abs/2010.10600

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

Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42

Bhatia, S., Walasek, L., Slovic, P., & Kunreuther, H. (2020). The More Who Die, the Less We Care: Evidence from Natural Language Analysis of Online News Articles and Social Media Posts. Risk Analysis, risa.13582. https://doi.org/10.1111/risa.13582

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

Webinars in English 🇺🇸—YouTube. (n.d.). Retrieved 24 August 2020, from https://www.youtube.com/playlist?list=PL0n8am2uBRCBUZI5ftm2jQ63tlYrtY4_I

Online Harms & Disinformation Post-COVID. (n.d.). Retrieved 20 August 2020, from https://www.youtube.com/watch?v=N2BmRuXbNhk

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

MyData vs. COVID-19 calls (2020, June 5) - https://www.youtube.com/playlist?list=PLbpRS19STpXSWs4kTiVEx2KN5CZh6yCYI

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

@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

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

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

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

Newman, N. (n.d.). Reuters Institute Digital News Report 2020. 112.

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

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/

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

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

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

Journal of Computational Social Science. Springer. Retrieved June 10, 2020, from https://www.springer.com/journal/42001/updates/17993070

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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

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

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

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

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/

Velásquez, N., et al. (2020, April 1). Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. Cornell University. arXiv:2004.00673.

This is a discussion of informal learning that focuses on ensuring that incidences of informal learning are recognized. This discussion portrays it has happening through casual conversations, online discussions, or social media. The page is easy enough to read though it does not try to be comprehensive. rating 2/5

Hypothes.is nicely bridges the worlds of social media and formal education.