Ziems, C., He, B., Soni, S., & Kumar, S. (2020). Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. ArXiv:2005.12423 [Physics]. http://arxiv.org/abs/2005.12423

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

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

Good Vibes: The Complex Work of Social Media Influencers in a Pandemic. (n.d.). American Ethnological Society. Retrieved May 31, 2020, from https://americanethnologist.org/features/pandemic-diaries/pandemic-diaries-affect-and-crisis/good-vibes-the-complex-work-of-social-media-influencers-in-a-pandemic

Brashier, N. M., & Schacter, D. L. (2020). Aging in an Era of Fake News. Current Directions in Psychological Science, 0963721420915872. https://doi.org/10.1177/0963721420915872

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

r/BehSciMeta—Comment by u/VictorVenema on ”No appeasement of bad faith actors”. (n.d.). Reddit. Retrieved June 11, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gv0y99/no_appeasement_of_bad_faith_actors/ftpclwz

Altay, S., de Araujo, E., & Mercier, H. (2020, June 4). “If this account is true, it is most enormously wonderful”: Interestingness-if-true and the sharing of true and false news.

Wallis, P., & Nerlich, B. (2005). Disease metaphors in new epidemics: The UK media framing of the 2003 SARS epidemic. Social Science & Medicine, 60(11), 2629–2639. https://doi.org/10.1016/j.socscimed.2004.11.031

Wong, E., Rosenberg, M., & Barnes, J. E. (2020, April 22). Chinese Agents Helped Spread Messages That Sowed Virus Panic in U.S., Officials Say. The New York Times. https://www.nytimes.com/2020/04/22/us/politics/coronavirus-china-disinformation.html

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

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.

Haelle, T. (2020, May 8). Why It’s Important To Push Back On ‘Plandemic’—And How To Do It. Forbes. https://www.forbes.com/sites/tarahaelle/2020/05/08/why-its-important-to-push-back-on-plandemic-and-how-to-do-it/

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.

Hahn, U. (2020 May 10). Open policy processes for COVID-19. Reddit. https://www.reddit.com/r/BehSciMeta/comments/gggw9h/open_policy_processes_for_covid19/

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

Wang, M., Jiang, W., & Cheng, P. (2020). Mental Health Peer to Peer Support via Social Media practice reference During COVID-19 Pandemics [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4pqy

Jamieson, K. H., & Albarracín, D. (2020). The Relation between Media Consumption and Misinformation at the Outset of the SARS-CoV-2 Pandemic in the US. Harvard Kennedy School Misinformation Review, 2. https://doi.org/10.37016/mr-2020-012

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

Bail, C. A. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences, 113(42), 11823–11828. https://doi.org/10.1073/pnas.1607151113

Meyerhoff, H. S., Brand, A.-K., & Scholl, A. (2020). In Case of Doubt for the Suspicion?: When People Falsely Remember Facts in the News as Being Uncertain. https://doi.org/10.31234/osf.io/rct7a

Margaret Sullivan on Twitter: “.@TheAtlantic to cut staff by 68 positions, or 17 percent, in response to current economy, per chairman David Bradley statement” / Twitter. (n.d.). Twitter. Retrieved May 31, 2020, from https://twitter.com/sulliview/status/1263461467262779393

Mark Shapiro MD on Twitter: “A poll for #MedTwitter Do you have media appearances, #SoMe activity, writing in forward facing magazines/websites included in your professional contract as a promotion lever or financial incentive?” / Twitter. (n.d.). Twitter. Retrieved May 29, 2020, from https://twitter.com/etsshow/status/1265855571812478977

Why We Fall Prey to Misinformation. (n.d.). Association for Psychological Science - APS. Retrieved May 29, 2020, from https://www.psychologicalscience.org/news/releases/why-we-fall-prey-to-misinformation.html

Anvari, F. (2020, March 26). A comment on Everett et al. (2020): No evidence for the effectiveness of moral messages on public health behavioural intentions during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/de7q9

Communications: Working with the media | BPS. (n.d.). Retrieved April 21, 2020, from https://www.bps.org.uk/about-us/communications/working-media

COVID-19—Eine Zwischenbilanz oder eine Analyse der Moral, der medizinischen Fakten, sowie der aktuellen und zukünftigen politischen Entscheidungen. (2020, April 7). DIE MITTELLÄNDISCHE ZEITUNG - FÜR MEHR DURCHBLICK. https://www.mittellaendische.ch/2020/04/07/covid-19-eine-zwischenbilanz-oder-eine-analyse-der-moral-der-medizinischen-fakten-sowie-der-aktuellen-und-zuk%C3%BCnftigen-politischen-entscheidungen/

Mbopi-Keou, F.-X., Pondi, J.-E., & Sosso, M. A. (2020). COVID-19 in Cameroon: A crucial equation to resolve. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30373-X

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

Cook, J., & Lewandowsky, S. (n.d.). Coronavirus conspiracy theories are dangerous – here’s how to stop them spreading. The Conversation. Retrieved April 21, 2020, from http://theconversation.com/coronavirus-conspiracy-theories-are-dangerous-heres-how-to-stop-them-spreading-136564

Aymerich-Franch, L. (2020, May 14). COVID-19 lockdown: impact on psychological well-being and relationship to habit and routine modifications. https://doi.org/10.31234/osf.io/9vm7r

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

Alshaabi, T., et al. (2020 March 27). How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. Cornell University. arXiv:2003.12614

Pastor-Escuredo, D., & Tarazona, C. (2020). Characterizing information leaders in Twitter during COVID-19 crisis. ArXiv:2005.07266 [Physics]. http://arxiv.org/abs/2005.07266

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/

Bajak, A., & Howe, J. (2020, May 14). Opinion | A Study Said Covid Wasn’t That Deadly. The Right Seized It. The New York Times. https://www.nytimes.com/2020/05/14/opinion/coronavirus-research-misinformation.html

Porter, E. & Wood. T.J. (2020 May 14). Why is Facebook so afraid of checking facts? Wired. https://www.wired.com/story/why-is-facebook-so-afraid-of-checking-facts/

Ryan, W., & Evers, E. (2020). Logarithmic Axis Graphs Distort Lay Judgment. https://doi.org/10.31234/osf.io/cwt56

Kwon, J. and Hollingsworth, J. (2020 May 13). Virus outbreak linked to Seoul clubs stokes homophobia. CNN. https://www.cnn.com/2020/05/12/asia/south-korea-club-outbreak-intl-hnk/index.html

McKew, M. (2020, May 13) Disinformation Starts at Home. Stand Up Republic. https://standuprepublic.com/disinformation-starts-at-home/

John Burn-Murdoch on Twitter

Beyer-Hunt, S., Carter, J., Goh, A., Li, N., & Natamanya, S.M. (2020, May 14) COVID-19 and the Politics of Knowledge: An Issue and Media Source Primer. SPIN. https://secrecyresearch.com/2020/05/14/covid19-spin-primer/

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

Correia, Rion Brattig, Ian B. Wood, Johan Bollen, and Luis M. Rocha. “Mining Social Media Data for Biomedical Signals and Health-Related Behavior.” Annual Review of Biomedical Data Science, May 4, 2020. https://doi.org/10.1146/annurev-biodatasci-030320-040844.

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

Zadrozny, B. (2020 May 14). One in four popular YouTube coronavirus videos contain misinformation, study finds. NBC News. https://www.nbcnews.com/health/health-news/live-blog/2020-05-13-coronavirus-news-n1205916/ncrd1206486#blogHeader

@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

In this section of Chapter 3, you can see a difference in the way the text is delivered. The design changed and has different graphics and layout.

Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621

Lakens, D. (2020). Pandemic researchers—Recruit your own best critics. Nature, 581(7807), 121–121. https://doi.org/10.1038/d41586-020-01392-8

Ruiu, M. L. (2020). Mismanagement of Covid-19: Lessons learned from Italy. Journal of Risk Research, 1–14. https://doi.org/10.1080/13669877.2020.1758755

This sounds much more like the "learned" world in the modern era using multi-media on the internet.

Smelter, T. J., & Calvillo, D. P. (2020). Pictures and repeated exposure increase perceived accuracy of news headlines. Applied Cognitive Psychology, acp.3684. https://doi.org/10.1002/acp.3684

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

Social Media & Well-being. (n.d.). Retrieved May 13, 2020, from https://www.youtube.com/watch?v=YSV8GT7y3_E&feature=youtu.be

Fast Science and Philosophy of Science | Jacob Stegenga. (2020, May 11). BSPS. http://www.thebsps.org/auxhyp/fast-science-stegenga/

This quote comes from a larger piece by Robin Sloan. (I don't know who that is though)

The problem with social media is that the equivalent to working with the garage door open (working in public) is repeatedly talking in public about what you're doing.

One problem with this is that you need to choose what you want to talk about, and say it. This emphasizes whatever you select, not what would catch a passerby's eye.

The other problem is that you become more visible by the more you talk. Conversely, when you stop talking, you become invisible.

Roland, L. T., Gurrola, J. G., Loftus, P. A., Cheung, S. W., & Chang, J. L. (2020). Smell and taste symptom‐based predictive model for COVID‐19 diagnosis. International Forum of Allergy & Rhinology, alr.22602. https://doi.org/10.1002/alr.22602

The Tree of Life: Stop deifying “peer review” of journal publications: (2012, February 4). The Tree of Life. https://phylogenomics.blogspot.com/2012/02/stop-deifying-peer-review-of-journal.html

How can we portray emotions, gestures, and attention in an authentic way through a computational medium?

This reminds me a bit of Kevin Marks' post about phatic reactions in social media: http://epeus.blogspot.com/2009/03/how-twitter-works-in-theory.html

Orben, A., Tomova, L., & Blakemore, S.-J. (2020). The effects of social deprivation on adolescent social development and mental health [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/7afmd

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

Cellini, N., Canale, N., Mioni, G., & Costa, S. (2020, April 11). Changes in sleep pattern, sense of time, and digital media use during COVID-19 lockdown in Italy. https://doi.org/10.31234/osf.io/284mr

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

Fan, R., Xu, K., & Zhao, J. (2020). Weak ties strengthen anger contagion in social media. ArXiv:2005.01924 [Cs]. http://arxiv.org/abs/2005.01924

Pham, T. M., Kondor, I., Hanel, R., & Thurner, S. (2020). The effect of social balance on social fragmentation. ArXiv:2005.01815 [Nlin, Physics:Physics]. http://arxiv.org/abs/2005.01815

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

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

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

Epstein, Z., Pennycook, G., & Rand, D. (2020). Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3313831.3376232

Dias, N., Pennycook, G., & Rand, D. G. (2020). Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media. Harvard Kennedy School Misinformation Review, 1(1). https://doi.org/10.37016/mr-2020-001

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

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

Romano, A., Sotis, C., Dominioni, G., & Guidi, S. (2020). COVID-19 Data: The Logarithmic Scale Misinforms the Public and Affects Policy Preferences [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/42xfm