Operation gridlock: opposite sides, opposite strategies

Journal of Computational Social Science - Tập 5 Số 1 - Trang 477-501 - 2022
Matthew Babcock1, Kathleen M. Carley1
1Institute for Software Research, Carnegie Mellon University, 500 Forbes Avenue, Pittsburgh, PA, 15213, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

Segerberg, A., & Bennett, W. L. (2011). Social media and the organization of collective action: using twitter to explore the ecologies of two climate change protests. The Communication Review, 14, 197–215. https://doi.org/10.1080/10714421.2011.597250

Carafano, J. J. (2009). All a twitter: How social networking shaped Iran’s election protests. Heritage Foundation Backgrounder, 2300.

Poell, T., & Borra, E. (2012). Twitter, YouTube, and Flickr as platforms of alternative journalism: the social media account of the 2010 Toronto G20 protests. Journalism, 13, 695–713. https://doi.org/10.1177/1464884911431533

Christensen, C. (2011). Twitter revolutions? Addressing social media and dissent. The Communication Review, 14, 155–157. https://doi.org/10.1080/10714421.2011.597235

Bruns, A., Highfield, T., & Burgess, J. (2013). The Arab spring and social media audiences: english and arabic twitter users and their networks. American Behavioral Scientist., 57, 871–898. https://doi.org/10.1177/0002764213479374

Carley, K.M., Wei, W., Joseph, K. (2016) High dimensional network analytics: mapping topic networks in Twitter data during the Arab spring. In Cui, S., Hero III, A. O., Luo, Z. Q., & Moura, J. M. (Eds.). Big Data over Networks. Cambridge University Press.

Tremayne, M. (2014). Anatomy of protest in the digital era: a network analysis of twitter and occupy wall street. Social Movement Studies., 13, 110–126. https://doi.org/10.1080/14742837.2013.830969

National Academies of Sciences. (2019). Engineering, and medicine: a decadal survey of the social and behavioral sciences: a research agenda for advancing intelligence analysis. National Academies Press.

Jost, J. T., Barberá, P., Bonneau, R., Langer, M., Metzger, M., Nagler, J., Sterling, J., & Tucker, J. A. (2018). How social media facilitates political protest: information, motivation, and social networks: social media and political protest. Political Psychology, 39, 85–118. https://doi.org/10.1111/pops.12478

Agarwal, S. D. (2014). A model of crowd-enabled organization: theory and methods for understanding the role of twitter in the occupy protests. International Journal of Communication, 8, 27.

Theocharis, Y., Lowe, W., van Deth, J. W., & García-Albacete, G. (2015). Using Twitter to mobilize protest action: online mobilization patterns and action repertoires in the Occupy Wall Street, Indignados, and Aganaktismenoi movements. Information Communication and Society, 18, 202–220. https://doi.org/10.1080/1369118X.2014.948035

Arafa, M., & Armstrong, C. (2016). Facebook to mobilize, twitter to coordinate protests, and youtube to tell the world: new media, cyberactivism, and the Arab Spring. Journal of Global Initiatives: Policy Pedagogy Perspective, 10(10), 6.

Jungherr, A., & Jürgens, P. (2014). Through a glass, darkly: tactical support and symbolic association in twitter messages commenting on stuttgart 21. Social Science Computer Review, 32, 74–89. https://doi.org/10.1177/0894439313500022

Barberá, P., Wang, N., Bonneau, R., Jost, J. T., Nagler, J., Tucker, J., & González-Bailón, S. (2015). The critical periphery in the growth of social protests. PLoS ONE. https://doi.org/10.1371/journal.pone.0143611

Mourão, R. R., & Chen, W. (2020). Covering protests on twitter: the influences on journalists’ social media portrayals of left- and right-leaning demonstrations in Brazil. The International Journal of Press/Politics, 25, 260–280. https://doi.org/10.1177/1940161219882653

Morozov, E. (2009). Iran: downside to the “twitter revolution.” Dissent, 56, 10–14. https://doi.org/10.1353/dss.0.0092

Benigni, M. C., Joseph, K., & Carley, K. M. (2019). Bot-ivistm: assessing information manipulation in social media using network analytics. In N. Agarwal, N. Dokoohaki, & S. Tokdemir (Eds.), Emerging research challenges and opportunities in computational social network analysis and mining (pp. 19–42). Springer International Publishing.

Anderson, C.: Reopen domains: shut the front Dorr. https://www.domaintools.com/resources/blog/reopen-domains-shut-the-front-dorr. Accessed 20 Apr 2020.

Chandler, S.: Security researchers say the reopen America Campaign is being astroturfed. https://www.forbes.com/sites/simonchandler/2020/04/24/security-researchers-say-the-reopen-america-campaign-is-being-astroturfed/. Accessed 30 Apr 2020.

Krebs on Security: Who’s behind the “Reopen” domain surge?—Krebs on Security (2020). https://krebsonsecurity.com/2020/04/whos-behind-the-reopen-domain-surge/. Accessed 30 Apr 2020.

Breland, A. (2020). How an “old hippie” got accused of astroturfing the right-wing campaign to reopen the economy. https://www.motherjones.com/politics/2020/04/reopen-liberate-urls/. Accessed 30 Apr 2020.

Vogel, K.P., Rutenberg, J., Lerer, L. (2020). The quiet hand of conservative groups in the anti-lockdown protests. https://www.nytimes.com/2020/04/21/us/politics/coronavirus-protests-trump.html. Accessed 30 Apr 2020.

Pew Research: Americans remain concerned that states will lift restrictions too quickly, but partisan differences widen (2020). https://www.pewresearch.org/fact-tank/2020/05/07/americans-remain-concerned-that-states-will-lift-restrictions-too-quickly-but-partisan-differences-widen/. Accessed 15 May 2020.

Green, J., Edgerton, J., Naftel, D., Shoub, K., & Cranmer, S. J. (2020). Elusive consensus: polarization in elite communication on the COVID-19 pandemic. Science Advances. https://doi.org/10.1126/sciadv.abc2717

Ferrara, E. (2020). What types of COVID-19 conspiracies are populated by twitter bots? FM arXiv. https://doi.org/10.5210/fm.v25i6.10633

Samuel, J., Rahman, M. M., Ali, G. M. N., Samuel, Y., Pelaez, A., Chong, P. H. J., & Yakubov, M. (2020). Feeling positive about reopening? New normal scenarios from COVID-19 US reopen sentiment analytics. IEEE Access, 8, 142173–142190.

Beskow, D. M., & Carley, K. M. (2018). Bot-hunter: a tiered approach to detecting & characterizing automated activity on twitter. In Conference paper. SBP-BRiMS: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (Vol. 3, p. 3).

Beskow, D. (2020). Finding and characterizing information warfare campaigns. Carnegie Mellon University.

Traag, V. A., Waltman, L., & van Eck, N. J. (2019). From Louvain to Leiden: guaranteeing well-connected communities. Scientific Reports, 9, 5233. https://doi.org/10.1038/s41598-019-41695-z