- Aug 2022
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www.penguinrandomhouse.ca www.penguinrandomhouse.ca
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Caulfield, T. (2017, October 24). The Vaccination Picture by Timothy Caulfield. Penguin Random House Canada. https://www.penguinrandomhouse.ca/books/565776/the-vaccination-picture-by-timothy-caulfield/9780735234994
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Polis. (n.d.). Retrieved April 26, 2022, from https://pol.is/home
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reallifemag.com reallifemag.com
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I wanted to read this article because I love Kon's movies and I'm curious what the link to social media is.
Tags
Annotators
URL
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- May 2022
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www.thecut.com www.thecut.com
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This came in the context of weighing what she stood to gain and lose in leaving a staff job at BuzzFeed. She knew the worth of what editors, fact-checkers, designers, and other colleagues brought to a piece of writing. At the same time, she was tired of working around the “imperatives of social media sharing.” Clarity and concision are not metrics imposed by the Facebook algorithm, of course — but perhaps such concerns lose some of their urgency when readers have already pledged their support.
Continuing with the idea above about the shift of Sunday morning talk shows and the influence of Hard Copy, is social media exerting a negative influence on mainstream content and conversation as a result of their algorithmic gut reaction pressure? How can we fight this effect?
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- Feb 2022
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defector.com defector.com
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From "former staffers of Deadspin".
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Founded in partnership with a team of entrepreneurial journalists who believe in a better model to create excellent content while narrowing the synapse between elite creators and their audiences.
http://puck.news/who-is-puck/
Another platform play of journalists banding together to find a niche space of readers.
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- Jan 2022
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Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5
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- Nov 2021
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Wise, J. (2021). Headlines play down the gravity of covid-19 in children. BMJ, 375, n2826. https://doi.org/10.1136/bmj.n2826
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twitter.com twitter.com
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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
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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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Iacobucci, G. (2021). Covid and flu: What do the numbers tell us about morbidity and deaths? BMJ, n2514. https://doi.org/10.1136/bmj.n2514
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- Jul 2021
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psyarxiv.com psyarxiv.com
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Akhther, N. (2021). Internet Memes as Form of Cultural Discourse: A Rhetorical Analysis on Facebook. PsyArXiv. https://doi.org/10.31234/osf.io/sx6t7
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- Apr 2021
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www.sciencedirect.com www.sciencedirect.com
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Lutkenhaus, R. O., Jansz, J., & Bouman, M. P. A. (2019). Mapping the Dutch vaccination debate on Twitter: Identifying communities, narratives, and interactions. Vaccine: X, 1. https://doi.org/10.1016/j.jvacx.2019.100019
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arxiv.org arxiv.org
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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
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www.tandfonline.com www.tandfonline.com
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Smith, N., & Graham, T. (2019). Mapping the anti-vaccination movement on Facebook. Information, Communication & Society, 22(9), 1310–1327. https://doi.org/10.1080/1369118X.2017.1418406
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- Mar 2021
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papers.ssrn.com papers.ssrn.com
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Krupenkin, Masha, Kai Zhu, Dylan Walker, and David M. Rothschild. ‘If a Tree Falls in the Forest: COVID-19, Media Choices, and Presidential Agenda Setting’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 22 September 2020. https://doi.org/10.2139/ssrn.3697069.
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twitter.com twitter.com
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Darren Dahly. (2019, September 4). It seems appropriate to do a thread on our recent session about the use of Twitter by statisticians. Https://t.co/eFwLDuXnOU [Tweet]. @statsepi. https://twitter.com/statsepi/status/1169313702715281408
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Sanders, J., Tosi, A., Obradović, S., Miligi, I., & Delaney, L. (2021). Lessons from lockdown: Media discourse on the role of behavioural science in the UK COVID-19 response. PsyArXiv. https://doi.org/10.31234/osf.io/dw85a
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- Oct 2020
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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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www.visualcapitalist.com www.visualcapitalist.com
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Ali, A. (2020, August 28). Visualizing the Social Media Universe in 2020. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-social-media-universe-in-2020/
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- Aug 2020
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marketing.twitter.com marketing.twitter.com
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Embracing the slowdown. (n.d.). Retrieved August 30, 2020, from https://marketing.twitter.com/emea/en_gb/insights/embracing-the-slowdown
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www.tandfonline.com www.tandfonline.com
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Arqoub, O. A., Elega, A. A., Özad, B. E., Dwikat, H., & Oloyede, F. A. (2020). Mapping the Scholarship of Fake News Research: A Systematic Review. Journalism Practice, 0(0), 1–31. https://doi.org/10.1080/17512786.2020.1805791
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www.tandfonline.com www.tandfonline.com
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Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2020). Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysis. Health Communication, 0(0), 1–9. https://doi.org/10.1080/10410236.2020.1794553
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- Jul 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 31 July 2020, from https://covid-19.iza.org/publications/dp13388/
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www.nber.org www.nber.org
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Cotti, C. D., Engelhardt, B., Foster, J., Nesson, E. T., & Niekamp, P. S. (2020). The Relationship between In-Person Voting and COVID-19: Evidence from the Wisconsin Primary (Working Paper No. 27187; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27187
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psyarxiv.com psyarxiv.com
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Bhattacharya, C., Chowdhury, D., Ahmed, N., Ozgur, S., Bhattacharya, B., Mridha, S. K., & Bhattacharyya, M. (2020). The Nature, Cause and Consequence of COVID-19 Panic among Social Media Users in India. https://doi.org/10.31234/osf.io/dgr45
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osf.io osf.io
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Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
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osf.io osf.io
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Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- social science
- spreadsheet
- government
- uncertainty
- medicine
- analysis
- infection
- social distancing
- COVID-19
- sheets
- social media
- policy
- preprint
- isolation
- social norm
- data collection
- international
- healthcare
- community
- misinformation
- unofficial
- conspiracy theory
- is:other
- behavior
- mental health
- lang:en
- publication
- research
- tracker
Annotators
URL
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- Jun 2020
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www.unforgettable.me www.unforgettable.me
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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
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blogs.lse.ac.uk blogs.lse.ac.uk
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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/
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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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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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arxiv.org arxiv.org
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textnets.readthedocs.io textnets.readthedocs.io
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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
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- May 2020
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psyarxiv.com psyarxiv.com
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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
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www.annualreviews.org www.annualreviews.org
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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.
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leoferres.info leoferres.info
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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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epjdatascience.springeropen.com epjdatascience.springeropen.com
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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
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Jarynowski, A., Wójta-Kempa, M., & Belik, V. (2020, April 22). TRENDS IN PERCEPTION OF COVID-19 IN POLISH INTERNET. https://doi.org/10.31234/osf.io/dr3gm
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arxiv.org arxiv.org
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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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- May 2017
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fivethirtyeight.com fivethirtyeight.com
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Analysis of a subreddit for Trump supporters, based on comparisons of the users of various subreddits.
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- Jan 2016
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clintlalonde.net clintlalonde.net
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insert reflective pause to acknowledge the power of weak tie networks here
And references to Granovetter, with his famous 1973 article. This [article on sports media and Twitter](http://www.cabdirect.org/abstracts/20143219270.html sounds contextually relevant.
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