- Nov 2023
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cascadeinstitute.org cascadeinstitute.org
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- for: social tipping point - tools, cascade institute, Boolean Causal Loop Analysis, BCLA, Cross-impact balance, CIB, socio-cognitive mapping, cognitive-affective mapping, ideological state-space
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- Jul 2023
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www.sciencedirect.com www.sciencedirect.com
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Measuring social presence in online-based learning: An exploratory path analysis using log data and social network analysis
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- Feb 2023
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eprints.soton.ac.uk eprints.soton.ac.uk
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This paper is relevant to understanding
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Learning
- it introduces me to a number of new useful concepts
- cognitive advantage
- cultural network analysis
- more detailed understanding of memetics
- cultural epidemiology
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- Dec 2022
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link.springer.com link.springer.com
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the spread of segregation, fads, revolts, protests, information on Twitter, and product marketing.
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link.springer.com link.springer.com
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We repeat this procedure 10,000 times. The value of 10,000 was selected because 9604 is the minimum size of samples required to estimate an error of 1 % with 95 % confidence [this is according to a conservative method; other methods also require <10,000 samples size (Newcombe 1998)]
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link.springer.com link.springer.com
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complex contagions, a type of social contagion which requires social reinforcement from multiple adopting neighbors.
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link.springer.com link.springer.com
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In this work, we develop the “Multi-Agent, Multi-Attitude” (MAMA) model which incorporates several key factors of attitude diffusion: (1) multiple, interacting attitudes; (2) social influence between individuals; and (3) media influence. All three components have strong support from the social science community.
several key factors of attitude diffusion: 1. multiple, interacting attitudes 2. social influence between individuals 3. media influence
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- Aug 2022
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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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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @bhrenton: Preliminary look into the visitor locations to https://t.co/j5ei0O4u1e mapped with new COVID-19 cases shows some overlaps, bu…’ / Twitter. (n.d.). Retrieved 13 February 2022, from https://twitter.com/SciBeh/status/1483697294373531652
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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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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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psyarxiv.com psyarxiv.com
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Code, A., Fox, L., Asbury, K., & Toseeb, U. (2021). How did Autistic Children, and their Parents, Experience School Transition during the COVID-19 Pandemic? PsyArXiv. https://doi.org/10.31234/osf.io/8kzsn
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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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- Jun 2021
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psyarxiv.com psyarxiv.com
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Sanderson, L., Harkin, L., Stuart, A., Stevenson, C., Park, M. S.-A., Yan, R. J., Mitra, S., Nuseibeh, B., Gooch, D., & Katz, D. (2021). A Siege on Positive Ageing: COVID-19 as Exacerbating Age-based Stereotype Threats among Older Adults [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/pufd5
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www.theguardian.com www.theguardian.com
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UK tightens borders and travel rules as variants spark new alarm | Coronavirus | The Guardian. (n.d.). Retrieved June 5, 2021, from https://www.theguardian.com/world/2021/jun/03/concern-over-delta-covid-variant-tightens-borders-of-uk
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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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psyarxiv.com psyarxiv.com
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Gligorić, Vukašin, Allard Feddes, and Bertjan Doosje. ‘Political Bullshit Receptivity and Its Correlates: A Cross-Cultural Validation of the Concept’. PsyArXiv, 27 October 2020. https://doi.org/10.31234/osf.io/u9pe3.
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www.bmj.com www.bmj.com
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Fowler, J. H., & Christakis, N. A. (2008). Dynamic spread of happiness in a large social network: Longitudinal analysis over 20 years in the Framingham Heart Study. BMJ, 337, a2338. https://doi.org/10.1136/bmj.a2338
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psyarxiv.com psyarxiv.com
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Hyland, P., Vallières, F., Shevlin, M., Bentall, R. P., McKay, R., Hartman, T. K., McBride, O., & Murphy, J. (2021). Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ry6n4
Tags
- second wave
- Russia
- vaccination
- COVID-19
- longitudinal
- China
- attitudes
- vaccine
- statistical analysis
- officials
- vaccine resistance
- statistics
- UK
- is:preprint
- lang:en
- social behavior
- cross-sectional data
- public health
- pandemic
- ireland
- vaccine hesitance
- resistance
- communication strategies
Annotators
URL
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @PsyArXivBot: Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic https://t.co/AgKErDr7Yj’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1366707710151053312
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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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Rateau, P., Tavani, J. L., & Delouvée, S. (2021). Social representations of the Coronavirus and causal perception of its origin. The role of reasons for fear. PsyArXiv. https://doi.org/10.31234/osf.io/2dawr
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psyarxiv.com psyarxiv.com
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Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
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- Oct 2020
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www.thelancet.com www.thelancet.com
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Hone, T., Mirelman, A. J., Rasella, D., Paes-Sousa, R., Barreto, M. L., Rocha, R., & Millett, C. (2019). Effect of economic recession and impact of health and social protection expenditures on adult mortality: A longitudinal analysis of 5565 Brazilian municipalities. The Lancet Global Health, 7(11), e1575–e1583. https://doi.org/10.1016/S2214-109X(19)30409-7
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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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psyarxiv.com psyarxiv.com
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Rajkumar, R. P. (2020). Novel Coronavirus Disease (COVID-19) and Suicide: Conceptual and Practical Considerations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/z7drs
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www.bloomberg.com www.bloomberg.com
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What Happens to Public Space When Everything Moves Outside. (2020, June 29). Bloomberg.Com. https://www.bloomberg.com/news/features/2020-06-29/what-happens-to-public-space-when-everything-moves-outside
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psyarxiv.com psyarxiv.com
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Scott, S., Rivera, K., Rushing, E., Manczak, E., Rozek, C. S., & Doom, J. (2020). “I hate this”: A qualitative analysis of adolescents’ self-reported challenges during the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4ctb7
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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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psyarxiv.com psyarxiv.com
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Behrens. F., Kret. M. (2020) Under the Umbrella of Prosocial Behavior – A Critical Comparison of Paradigms. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/9uebc/
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www.theatlantic.com www.theatlantic.com
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Koren, M. (2020, April 2). The Pandemic Is Turning the Natural World Upside Down. The Atlantic. https://www.theatlantic.com/science/archive/2020/04/coronavirus-pandemic-earth-pollution-noise/609316/
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twitter.com twitter.com
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Whitney R. Robinson on Twitter: “1/ An #EpiTwitter 🧵 about theory... https://t.co/rSjfkHG21r” / Twitter. (n.d.). Twitter. Retrieved August 18, 2020, from https://twitter.com/WhitneyEpi/status/1295522551892971520
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www.nature.com www.nature.com
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Shahal, S., Wurzberg, A., Sibony, I., Duadi, H., Shniderman, E., Weymouth, D., Davidson, N., & Fridman, M. (2020). Synchronization of complex human networks. Nature Communications, 11(1), 3854. https://doi.org/10.1038/s41467-020-17540-7
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www.nber.org www.nber.org
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Razin, A., Sadka, E., & Schwemmer, A. H. (2020). DEglobalizaion and Social Safety Nets in Post-Covid-19 Era: Textbook Macroeconomic Analysis (Working Paper No. 27239; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27239
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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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covid-19.iza.org covid-19.iza.org
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Social Stability Challenged: Pandemics, Inequality and Policy Responses. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13249/
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journals.plos.org journals.plos.org
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Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
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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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Dave, D. M., Friedson, A. I., Matsuzawa, K., & Sabia, J. J. (2020). When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time (Working Paper No. 27091; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27091
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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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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
- sheets
- social science
- behavior
- spreadsheet
- analysis
- community
- COVID-19
- uncertainty
- infection
- social media
- conspiracy theory
- medicine
- data collection
- social distancing
- international
- mental health
- lang:en
- healthcare
- isolation
- policy
- research
- is:other
- government
- unofficial
- publication
- social norm
- tracker
- misinformation
- preprint
Annotators
URL
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osf.io osf.io
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Rosati, G., Domenech, L., Chazarreta, A., & Maguire, T. (2020). Capturing and analyzing social representations. A first application of Natural Language Processing techniques to reader’s comments in COVID-19 news. Argentina, 2020 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/3pcdu
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Pensando a Pandemia: Tópicos em Filosofia da Mente e Psicologia. (2020, July 2). https://www.youtube.com/watch?v=CiVz0q5oRK8
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psyarxiv.com psyarxiv.com
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Olsson-Collentine, A., van Assen, M. A. L. M., & Wicherts, J. M. (2020). Postprint—Heterogeneity in direct replications in psychology and its association with effect size [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m23v4
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Edgcumbe, D. (2020). PrePrint Version (Edgcumbe, 2020): The developmental trajectory of open-mindedness: from 18 to 87-years of age. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fnrmv
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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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psyarxiv.com psyarxiv.com
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Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
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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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psyarxiv.com psyarxiv.com
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Yucel, M., Sjobeck, G., Glass, R., & Rottman, J. (2020). Gossip, Sabotage, and Friendship Network Dataset [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m6tsx
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psyarxiv.com psyarxiv.com
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Abdelrahman, M. K. (2020, April 14). Personality Traits, Risk Perception and Social Distancing During COVID-19. https://doi.org/10.31234/osf.io/6g7kh
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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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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
Tags
- social science
- lang:en
- role
- behavioral science
- relevance
- policy
- is:blog
- COVID-19
- criticism
- review
- data analysis
- limitation
Annotators
URL
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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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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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www.thelancet.com www.thelancet.com
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Chu, D., Akl, E., El-Harakeh, A., Bognanni, A., Lotf, T., Loeb, M., ... & Chen, C. (2020). Physical Distancing, Face Masks, and Eye Protection to Prevent Person-Person COVID-19 Transmission: A Systematic Review and Meta-Analysis.
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- May 2020
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psyarxiv.com psyarxiv.com
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Farias, J. E. M., & Pilati, R. (2020). Violating social distancing amid COVID-19 pandemic: Psychological factors to improve compliance [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/apg9e
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Lobato, E. J. C., Powell, M., Padilla, L., & Holbrook, C. (2020). Factors Predicting Willingness to Share COVID-19 Misinformation. https://doi.org/10.31234/osf.io/r4p5z
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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.repository.cam.ac.uk www.repository.cam.ac.uk
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Toxvaerd, F. M. O. (2020). Equilibrium Social Distancing [Working Paper]. Faculty of Economics, University of Cambridge. https://doi.org/10.17863/CAM.52489
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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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psyarxiv.com psyarxiv.com
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Cartaud, A., François, Q., & Coello, Y. (2020). Beware of virus! Wearing a face mask against COVID-19 results in a reduction of social distancing [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ubzea
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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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Laban, G., George, J., Morrison, V., & Cross, E. S. (2020, May 6). Tell Me More! Assessing Interactions with Social Robots From Speech. Retrieved from psyarxiv.com/jkht2
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Fischer, R., Karl, J. A., Bortolini, T., Zilberberg, M., Robinson, K., Rabelo, A. L. A., … Mattos, P. (2020, April 22). Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression and stress during COVID-19 social distancing. https://doi.org/10.31234/osf.io/ndyf4
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Chaves, M. S., Mattos, T. G., & Atman, A. P. F. (2020). Characterizing network topology using first-passage analysis. Physical Review E, 101(4), 042123. https://doi.org/10.1103/PhysRevE.101.042123
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psyarxiv.com psyarxiv.com
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Hallford, D. J., & D'Argembeau, A. (2020, April 15). Why We Imagine Our Future: Introducing the Functions of Future Thinking Scale (FoFTS). https://doi.org/10.31234/osf.io/bez4u
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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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www.medrxiv.org www.medrxiv.org
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Jefferson, T., Jones, M., Al Ansari, L. A., Bawazeer, G., Beller, E., Clark, J., Conly, J., Del Mar, C., Dooley, E., Ferroni, E., Glasziou, P., Hoffman, T., Thorning, S., & Van Driel, M. (2020). Physical interventions to interrupt or reduce the spread of respiratory viruses. Part 1 - Face masks, eye protection and person distancing: Systematic review and meta-analysis [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.03.30.20047217
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psyarxiv.com psyarxiv.com
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Colombo, R., Wallace, M., & Taylor, R. S. (2020, April 11). An Essential Service Decision Model for Applied Behavior Analytic Providers During Crisis. https://doi.org/10.31234/osf.io/te8ha
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doi.org doi.org
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Hossain, M. A. (2020). Is the spread of COVID-19 across countries influenced by environmental, economic and social factors? [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.08.20058164
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Giangreco, G. (n.d.). Case fatality rate analysis of Italian COVID-19 outbreak. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25894
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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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- Jan 2019
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www.at-the-intersection.com www.at-the-intersection.com
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Uh, yeah, I'm in a few groups. There's a couple of the crypto focused, uh, the also have been just, I wouldn't say [inaudible], but have put more emphasis on, you know, since we're technical traders, there's a reason not to take advantage of, uh, the market opportunities and traditional as they pop up. So we've been focused mainly on just very few inverse etfs to short the s&p to short some major Chinese stocks, um, doing some stuff with, uh, oil, gas. And then there's some groups that I'm in that are specifically focused on just traditional, uh, that are broken up or categorized by what they're trading.
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- Aug 2018
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www.futurelearn.com www.futurelearn.com
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You might have seen the hashtag #BlackLivesMatter in the previous step. In this 6-minute video, #BlackTwitter after #Ferguson, we meet activists who were involved in the movement and learn about their own uses of Twitter as a platform of protest. Hashtags, when used like this, can be extremely complex in the way they represent ideas, communities and individuals.
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- Jul 2018
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globalvoices.org globalvoices.org
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Then I used Gephi, another free data analysis tool, to visualize the data as an entity-relationship graph. The coloured circles—called Nodes—represent Twitter accounts, and the intersecting lines—known as Edges—refer to Follow/Follower connections between accounts. The accounts are grouped into colour-coded community clusters based on the Modularity algorithm, which detects tightly interconnected groups. The size of each node is based on the number of connections that account has with others in the network.
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Using the open-source NodeXL tool, I collected and imported a complete list of accounts tweeting that exact phrase into a spreadsheet. From that list, I also gathered and imported an extended community of Twitter users, comprised of the friends and followers of each account. It was going to be an interesting test: if the slurs against Nemtsov were just a minor case of rumour-spreading, they probably wouldn't be coming from more than a few dozen users.
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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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- Apr 2016
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googleguacamole.wordpress.com googleguacamole.wordpress.com
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followed a TAGS Explorer of a conference hashtag
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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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- Oct 2015
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cms.whittier.edu cms.whittier.edu
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. Human interactional intelligence is, so far as we know, predicated upon five qualities
So this is basically the through process of analysis/division of how humans take in stimuli in the environment?
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