- Last 7 days
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www.sciencedirect.com www.sciencedirect.com
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Featherstone, J. D., Bell, R. A., & Ruiz, J. B. (2019). Relationship of people’s sources of health information and political ideology with acceptance of conspiratorial beliefs about vaccines. Vaccine, 37(23), 2993–2997. https://doi.org/10.1016/j.vaccine.2019.04.063
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- Mar 2021
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journals.sagepub.com journals.sagepub.com
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Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667
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psyarxiv.com psyarxiv.com
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Šrol, J., Cavojova, V., & Mikušková, E. B. (2021). Social consequences of COVID-19 conspiracy beliefs: Evidence from two studies in Slovakia. PsyArXiv. https://doi.org/10.31234/osf.io/y4svc
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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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twitter.com twitter.com
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Sarah Mojarad. (2020, October 23). What are some of the positive consequences of social media? Would love to hear your stories! [Tweet]. @Sarah_Mojarad. https://twitter.com/Sarah_Mojarad/status/1319722197766733825
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Cantwell, O., & Kushlev, K. (2020, October 31). Anxiety Talking: Does Anxiety Predict Sharing Information about COVID-19?. https://doi.org/10.31234/osf.io/ah528
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- Dec 2020
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www.autonome-solidarite.fr www.autonome-solidarite.fr
- Nov 2020
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psyarxiv.com psyarxiv.com
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Mulukom, V. van, Pummerer, L., Alper, S., Bai, (Max) Hui, Cavojova, V., Farias, J. E. M., Kay, C. S., Lazarevic, L., Lobato, E. J. C., Marinthe, G., Banai, I. P., Šrol, J., & Zezelj, I. (2020). Antecedents and consequences of COVID-19 conspiracy theories: A rapid review of the evidence. PsyArXiv. https://doi.org/10.31234/osf.io/u8yah
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- Oct 2020
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 10, 2020, from https://covid-19.iza.org/publications/dp13574/
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oro.open.ac.uk oro.open.ac.uk
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Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.
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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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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
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Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
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- Aug 2020
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osf.io osf.io
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Beytía, P., & Infante, C. C. (2020). Digital Pathways, Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yndb7
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Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
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Moya, C., Cruz y Celis Peniche, P. D., Kline, M. A., & Smaldino, P. (2020). Dynamics of Behavior Change in the COVID World [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/kxajh
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socialsciences.nature.com socialsciences.nature.com
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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
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www.politifact.com www.politifact.com
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Washington, D. of C. 1100 C. A. N. S. 1300B, & Dc 20036. (n.d.). PolitiFact - Fact-checking ‘Plandemic 2’: Another video full of conspiracy theories about COVID-19. @politifact. Retrieved August 27, 2020, from https://www.politifact.com/article/2020/aug/18/fact-checking-plandemic-2-video-recycles-inaccurat/
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twitter.com twitter.com
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link.aps.org link.aps.org
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Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
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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
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Webinars in English 🇺🇸—YouTube. (n.d.). Retrieved 24 August 2020, from https://www.youtube.com/playlist?list=PL0n8am2uBRCBUZI5ftm2jQ63tlYrtY4_I
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arxiv.org arxiv.org
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Engelhardt, R., Hendricks, V. F., & Stærk-Østergaard, J. (2020). The Wisdom and Persuadability of Threads. ArXiv:2008.05203 [Physics]. http://arxiv.org/abs/2008.05203
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Paris, Marseille named as high-risk COVID zones, making curbs likelier. (2020, August 14). Reuters. https://uk.reuters.com/article/uk-health-coronavirus-france-idUKKCN25A0LC
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Barrios, J. M., & Hochberg, Y. (2020). Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic (Working Paper No. 27008; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27008
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- Jul 2020
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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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Dimant, E., van Kleef, G. A., & Shalvi, S. (2020). Requiem for a Nudge: Framing effects in nudging honesty. Journal of Economic Behavior & Organization, 172, 247–266. https://doi.org/10.1016/j.jebo.2020.02.015
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Haman, M. (2020). The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. https://doi.org/10.31235/osf.io/u4maf
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JAMA Network - Discussing preprint servers and social media.
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Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye
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Leppanen, J., Tosunlar, L., Blackburn, R., Williams, S., Tchanturia, K., & Sedgewick, F. (2020, July 6). Critical incidents in anorexia nervosa.
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Neill, R., Blair, C., Best, P., McGlinchey, E., & Armour, C. (2020). Media Consumption and Mental Health during COVID-19 lockdown: A UK Cross-sectional study across England, Wales, Scotland and Northern [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5d9fc
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Yang, G., Csikász-Nagy, A., Waites, W., Xiao, G., & Cavaliere, M. (2020). Information Cascades and the Collapse of Cooperation. Scientific Reports, 10(1), 8004. https://doi.org/10.1038/s41598-020-64800-z
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- Jun 2020
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Kitamura, S., & Yamada, K. (2020). Social Comparisons and Cooperation During COVID-19 [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rsbmz
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Branas-Garza, P., Jorrat, D. A., Alfonso, A., Espin, A. M., García, T., & Kovarik, J. (2020). Exposure to the Covid-19 pandemic and generosity in southern Spain [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/6ktuz
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podcastnotes.org podcastnotes.org
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Just as journalists should be able to write about anything they want, comedians should be able to do the same and tell jokes about anything they please
where's the line though? every output generates a feedback loop with the hivemind, turning into input to ourselves with our cracking, overwhelmed, filters
it's unrealistic to wish everyone to see jokes are jokes, to rely on journalists to generate unbiased facts, and politicians as self serving leeches, err that's my bias speaking
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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.
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Costantini, S., De Meo, P., Giorgianni, A., Migliorato, V., Provetti, A., & Salvia, F. (2020). Exploring Low-degree Nodes First Accelerates Network Exploration. ArXiv:2005.08050 [Physics]. http://arxiv.org/abs/2005.08050
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- May 2020
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misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
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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
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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
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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/
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Fränken, J.-P., & Pilditch, T. (2020). Cascades across networks are sufficient for the formation of echo chambers: An agent-based model. https://doi.org/10.31234/osf.io/8rgkc
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Brangwynne, C. (2020 April 29). How a Landmark Physics Paper from the 1970s Uncannily Describes the COVID-19 Pandemic. Scientific American Blog Network. https://blogs.scientificamerican.com/observations/how-a-landmark-physics-paper-from-the-1970s-uncannily-describes-the-covid-19-pandemic/
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PandemicPolitics. Pandemic politics: Political attitudes and crisis communication. https://www.pandemicpolitics.net
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Espinosa, F. d., Metko, A., Raimondi, M., Impenna, M., & Scognamiglio, E. (2020, April 10). A Model of Support for Families of Children with Autism Living in the COVID-19 Lockdown: Lessons from Italy. https://doi.org/10.31234/osf.io/48cme
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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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Ammerman, B. A., Burke, T. A., Jacobucci, R., & McClure, K. (2020, April 6). Preliminary Investigation of the Association Between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. https://doi.org/10.31234/osf.io/68djp
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Resource List for pandemic and COVID-19 related topics.
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Santana, C., Botta, F., Barbosa, H., Privitera, F., Menezes, R., Di Clemente, R. (2020 April 8). COVID-19 UK mobility report. Covid19-uk-mobility.github.io. https://covid19-uk-mobility.github.io/First-report.html
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Koren, M., & Petö, R. (2020, March 20). Business disruptions from social distancing. Cornel University. arXiv:2003.13983.
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Kamel Boulos, M.N., Geraghty, E.M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19, 8 (2020). https://doi.org/10.1186/s12942-020-00202-8
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Michael Veale on Twitter.
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British Psychological Society. Responding to Coronavirus: Resources and support. https://www.bps.org.uk/responding-coronavirus
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Nielsen, R.K., Fletcher, R., Newman, N., Brennen, S., Howard, P.N. (2020 April 15). Navigating the ‘infodemic’: how people in six countries access and rate news and information about coronavirus. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/infodemic-how-people-six-countries-access-and-rate-news-and-information-about-coronavirus
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psyarxiv.com psyarxiv.com
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Sailer, M., Stadler, M., Botes, E., Fischer, F., & Greiff, S. (2020, April 9). Science knowledge and trust in medicine affect individuals’ behavior in pandemic crises. https://doi.org/10.31234/osf.io/tmu8f
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Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
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- Feb 2020
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danmackinlay.name danmackinlay.name
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Upon the efficient consumption and summarizing of news from around the world. Remember? from when we though the internet would provide us timely, pertinent information from around the world? How do we find internet information in a timely fashion? I have been told to do this through Twitter or Facebook, but, seriously… no. Those are systems designed to waste time with stupid distractions in order to benefit someone else. Facebook is informative in the same way that thumb sucking is nourishing. Telling me to use someone’s social website to gain information is like telling me to play poker machines to fix my financial troubles.. Stop that.
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- Dec 2018
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hybridpedagogy.org hybridpedagogy.org
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It is based on reciprocity and a level of trust that each party is actively seeking value-added information for the other.
Seems like this is a critical assumption to examine for current media literacy/misinformation discussions. As networks become very large and very flat, does this assumption of reciprocity and good faith hold? (I'm thinking, here, of people whose expertise I trust in one domain but perhaps not in another, or the fact that sometimes I'm talking to one part of my network and not really "actively seeking information" for other parts.)
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- Aug 2018
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wendynorris.com wendynorris.com
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As Coyle and Meier (2009) argue, disasters are often seen as crises of information where it is vital to make sure that people know where to find potable water, how to ask for help, where their relatives are, or if their home is at risk; as well as providing emergency response and human-itarian agencies with information about affected populations. Such a quest for information for ‘security’, in turn, provides fertile ground for a quest for technological solutions, such as big data, which open up opportunities for the extended surveillance of everyday life. The assumption is that if only enough information could be gathered and exchanged, preparedness, resilience and control would follow. This is particularly pertinent with regard to mobile pop-ulations (Adey and Kirby 2016)
The Information is Aid perspective that drives my research agenda.
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- Jan 2015
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www.cbcd.bbk.ac.uk www.cbcd.bbk.ac.uk
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Sobel, D. M. & Kirkham, N.Z. (2012). The influence of social information on children’s statistical and causal inferences. In F.Xu (Ed.). Rational constructivism in cognitive development.
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