https://zephoria.medium.com/what-if-failure-is-the-plan-2f219ea1cd62

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

Virpi Flyg on Twitter. (n.d.). Twitter. Retrieved 1 April 2022, from https://twitter.com/VirpiFlyg/status/1452995562224201736

Health Nerd. (2021, August 29). Fascinating stuff, a whole thread of people saying weird shit about me (and a poem that I’ve said many times was idiotic in hindsight) [Tweet]. @GidMK. https://twitter.com/GidMK/status/1431828103416877058

News ·, A. M. · C. (2022, January 15). Canadian COVID-19 vaccine study seized on by anti-vaxxers—Highlighting dangers of early research in pandemic | CBC News. CBC. https://www.cbc.ca/news/health/covid-19-vaccine-study-omicron-anti-vaxxers-1.6315890

Michaud, M., & Center, U. of R. M. (n.d.). Trust in science at root of vaccine acceptance. Retrieved February 8, 2022, from https://medicalxpress.com/news/2022-01-science-root-vaccine.html

Bartlett, T. (2021, August 12). The Vaccine Scientist Spreading Vaccine Misinformation. The Atlantic. https://www.theatlantic.com/science/archive/2021/08/robert-malone-vaccine-inventor-vaccine-skeptic/619734/

Study: Digital literacy doesn’t stop the spread of misinformation. (n.d.). MIT Sloan. Retrieved January 12, 2022, from https://mitsloan.mit.edu/ideas-made-to-matter/study-digital-literacy-doesnt-stop-spread-misinformation

Zewe, A., & Technology, M. I. of. (2021, December 19). MIT Scientists Find Clues to Why Fake News Snowballs on Social Media. SciTechDaily. https://scitechdaily.com/mit-scientists-find-clues-to-why-fake-news-snowballs-on-social-media/

Courtney, D. S., & Bliuc, A.-M. (2021). Antecedents of Vaccine Hesitancy in WEIRD and East Asian Contexts. Frontiers in Psychology, 12, 5873. https://doi.org/10.3389/fpsyg.2021.747721

Schmid, P., & Lewandowsky, S. (n.d.). Tackling COVID disinformation with empathy and conversation. The Conversation. Retrieved December 15, 2021, from http://theconversation.com/tackling-covid-disinformation-with-empathy-and-conversation-173013

Is Facebook ‘Killing Us’? A new study investigates. (n.d.). Retrieved October 25, 2021, from https://news.northwestern.edu/stories/2021/07/is-facebook-killing-us-a-new-study-investigates/

Most of the advanced researchers I seen on these topics are almost all women: Safiya Umoja Noble, Meredith Broussard, Ruha Benjamin, Cathy O'Neil, Shoshana Zuboff, Joan Donovan, danah boyd,Tressie McMillan Cottom, to name but a few.

The tougher part is that they are all fighting against problems created primarily by privileged, cis-gender, white men.

As a virologist I’m shocked my work has been hijacked by anti-vaxxers | David LV Bauer | The Guardian. (n.d.). Retrieved September 8, 2021, from https://www.theguardian.com/commentisfree/2021/sep/07/virologist-work-anti-vaxxers-covid

Zuckerman, E. (2021). Demand five precepts to aid social-media watchdogs. Nature, 597(7874), 9–9. https://doi.org/10.1038/d41586-021-02341-9

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

Iacobucci, G. (2021). Covid-19: Junior doctors write to young people to acknowledge vaccine concerns. BMJ, 374, n1963. https://doi.org/10.1136/bmj.n1963

We’ve analyzed thousands of COVID-19 misinformation narratives. Here are six regional takeaways—Bulletin of the Atomic Scientists. (n.d.). Retrieved August 1, 2021, from https://thebulletin.org/2021/06/weve-analyzed-thousands-of-covid-19-misinformation-narratives-here-are-six-regional-takeaways/

The CDC Should Be More Like Wikipedia—The Atlantic. (n.d.). Retrieved July 23, 2021, from https://www.theatlantic.com/ideas/archive/2021/07/cdc-should-be-more-like-wikipedia/619469/

Romero, P., Mikiya, Y., Nakatsuma, T., Fitz, S., & Koch, T. (2021). Modelling Personality Change During Extreme Exogenous Conditions. PsyArXiv. https://doi.org/10.31234/osf.io/rtmjw

Bunker, C. J., & Varnum, M. E. W. (2021). How Strong is the Association Between Social Media Use and False Consensus? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/eyjaq

Hughes, B., Miller-Idriss, C., Piltch-Loeb, R., White, K., Creizis, M., Cain, C., & Savoia, E. (2021). Development of a Codebook of Online Anti-Vaccination Rhetoric to Manage COVID-19 Vaccine Misinformation [Preprint]. Public and Global Health. https://doi.org/10.1101/2021.03.23.21253727

Jigsaw. (2021, March 17). Distraction Helps Misinformation Spread. Thinking About Accuracy Can Reduce it. Medium. https://medium.com/jigsaw/distraction-helps-misinformation-spread-thinking-about-accuracy-can-reduce-it-a4e5d8371a85

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

Example of a professor/research who has apparently made his Tweets public, but intends to re-lock them majority of threat is over.

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

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

Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353

Swenson, A. (2021, April 20). Study lacks evidence on masks, isn’t linked to Stanford. AP NEWS. https://apnews.com/article/fact-checking-629043235973

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/

[[J. Nathan Matias]] Citizens and Technology Lab

I recall having looked at some of this research and not thinking it was as strong as is indicated here. I also seem to recall he had a connection with Tristan Harris?

PhD, D. D. (n.d.). Managing scientific discourse on Twitter. Retrieved 5 March 2021, from https://statsepi.substack.com/p/managing-scientific-discourse-on

Abbasi, K. (2020). The curious case of the Danish mask study. BMJ, 371, m4586. https://doi.org/10.1136/bmj.m4586

Pennycook, G., Binnendyk, J., Newton, C., & Rand, D. G. (2020, October 1). A practical guide to doing behavioural research on fake news and misinformation. https://doi.org/10.31234/osf.io/g69ha

Allen, J. N. L., Arechar, A. A., Pennycook, G., & Rand, D. G. (2020, October 1). Scaling Up Fact-Checking Using the Wisdom of Crowds. https://doi.org/10.31234/osf.io/9qdza

Aschwanden, C. (n.d.). Debunking the False Claim That COVID Death Counts Are Inflated. Scientific American. Retrieved 21 October 2020, from https://www.scientificamerican.com/article/debunking-the-false-claim-that-covid-death-counts-are-inflated/

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

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

Salaamedia. (2020, June 23). The Special Focus with Zahid Jadwat—Understanding the dangers of misinformation. Facebook. https://www.facebook.com/salaamedia/videos/the-special-focus-with-zahid-jadwat-understanding-the-dangers-of-misinformation-/261866155076824/

COVID-19 Social Science Tracker - Google Sheets

Using Smartphone, Social Media, and Sensor Data for Psychological Research (May 13, 2020). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?time_continue=3&v=vSvnJzCfstU&feature=emb_logo

Register here: (n.d.). Google Docs. Retrieved May 5, 2020, from https://docs.google.com/forms/d/e/1FAIpQLSdqXWlf0sbRR9wSH_42shm4vU4tHcCe0bQZuC-6ngHaI4I32w/viewform??embedded=true&usp=embed_facebook

Using LinkedIn for Social Research. (2019, July 9). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2019/07/09/using-linkedin-for-social-research/

Warren, M. (2020, June 16). Why Are We So Quick To Scrutinise How Low-Income Families Spend Their Money?. Research Digest. https://digest.bps.org.uk/2020/06/16/why-are-we-so-quick-to-scrutinise-how-low-income-families-spend-their-money/

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/

David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/dg_rand/status/1242526565793136641

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

Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465

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

Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/jamesheathers/status/1271058689970114560

Yaqub, W., Kakhidze, O., Brockman, M. L., Memon, N., & Patil, S. (2020). Effects of Credibility Indicators on Social Media News Sharing Intent. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376213

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

Young, V. A. (2020, May 20). Nearly Half Of The Twitter Accounts Discussing ‘Reopening America’ May Be Bots. Carnegie Mellon School of Computer Science. https://www.scs.cmu.edu/news/nearly-half-twitter-accounts-discussing-%E2%80%98reopening-america%E2%80%99-may-be-bots

Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c

The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/

Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/

Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020). Why do people believe COVID-19 conspiracy theories? Harvard Kennedy School Misinformation Review, 1(COVID-19 and Misinformation). https://doi.org/10.37016/mr-2020-015

Orben, A. (2020, April 30). The Sisyphean Cycle of Technology Panics. Retrieved from psyarxiv.com/dqmju

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

Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, S2215036620301681. https://doi.org/10.1016/S2215-0366(20)30168-1

As Becca Lewis suggests, is the problem associated with methodology? This reminds me of some of the discussions associated with [social media and teens] (https://collect.readwriterespond.com/social-media-has-not-destroyed-a-generation/)