Quantifying social organization and political polarization in online platforms
Sunstein, C. #Republic: a divided democracy in the age of social media (Princeton Univ. Press, 2018).
Iyengar, S. & Hahn, KS Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use. J. Common. 59, 19-39 (2009).
van Alstyne, M. & Brynjolfsson, E. Electronic communities: global villages or cyberbalkanization? In Proc. International Conference on Information Systems 5 https://aisel.aisnet.org/icis1996/5 (1996).
van Dijck, J. The Culture of Connectivity: A Critical History of Social Media (Oxford Univ. Press, 2013).
McLuhan, M. The Gutenberg Galaxy: The Making of the Typographic Man (Univ. Of Toronto Press, 1962).
Farrell, H. The Consequences of the Internet for Politics. Anne. Rev. Pol. Sci. 15, 35-52 (2012).
Conover, MD et al. Political polarization on Twitter. Proc. Intl AAAI Conf. Web Soc. Media 133, 89-96 (2011).
Bail, CA et al. Exposure to opposing views on social media can increase political polarization. Proc. Natl Acad. Sci. United States 115, 9216-9221 (2018).
Martin, T. community2vec: vector representations of online communities encode semantic relationships. In Proc. 2nd workshop on NLP and computational social sciences 27-31 (2017).
Garg, N., Schiebinger, L., Jurafsky, D. & Zou, J. Word inclusions quantify 100 years of gender and ethnic stereotypes. Proc. Natl Acad. Sci. United States 115, E3635 â E3644 (2018).
Bolukbasi, T., Chang, K.-W., Zou, JY, Salirama, V. & Kalai, AT Is a man to a computer programmer what a woman is to a housewife? Debiasing of word embeddings. Av. Neural Inf. To treat. System. 29, 4349-4357 (2016).
Caliskan, A., Bryson, JJ & Narayanan, A. Automatically derived semantics from linguistic corpora contain human biases. Science 356, 183-186 (2017).
Kozlowski, AC, Taddy, M. & Evans, JA The geometry of culture: analyzing class meanings through the interweaving of words. A m. Soc. Tower. 84, 905-949 (2019).
Shi, F., Shi, Y., Dokshin, FA, Evans, JA & Macy, MW Millions of co-purchases of books online reveal partisan differences in the consumption of science. Nat. Hmm. Behave yourself. 1, 0079 (2017).
Del Vicario, M. et al. Echo Chambers: Emotional Contagion and Group Polarization on Facebook. Sci. representing 6, 37825 (2016).
Pariser, E. The filter bubble: what the internet is hiding from you (Penguin, 2011).
Flaxman, S., Goel, S. & Rao, JM Filter bubbles, echo chambers and online news consumption. Public opinion. Q. 80, 298-320 (2016).
Bakshy, E., Messing, S. & Adamic, LA Exposure to ideologically diverse news and opinions on Facebook. Science 348, 1130-1132 (2015).
DiMaggio, P., Evans, J. & Bryson, B. Have Americans’ social attitudes become more polarized? A m. J. Sociol. 102, 690-755 (1996).
BarberÃ¡, P., Jost, JT, Nagler, J., Tucker, JA & Bonneau, R. Tweet from left to right: is political communication online more than an echo chamber? Psychol. Sci. 26, 1531-1542 (2015).
Adamic, LA & Glance, N. The Political Blogosphere and the 2004 US Elections: Divided, They Blog. In Proc. 3rd International Workshop on Finding Links 36-43 (2005).
A 2016 electorate exam, based on validated voters https://www.pewresearch.org/politics/2018/08/09/an-examination-of-the-2016-electorate-based-on-validated-voters/ (Pew Research Center, 2018).
Hawley, G. Giving meaning to the Alt-Right (Columbia Univ. Press, 2017).
Simmel, G. Conflict and network of group affiliations (Free Press, 1955).
Breiger, RL The duality of persons and groups. Social forces 53, 181-190 (1974).
Bourdieu, P. Distinction: a social critique of judgment of taste (Routledge, 1984).
Crenshaw, KW On intersectionality: essential writings (The New Press, 2017).
Baumgartner, J., Zannettou, S., Keegan, B., Squire, M. & Blackburn, J. The Pushshift Reddit dataset. In Proc. AAAI International Web and Social Media Conference 14, 830-839 (2020).
Kumar, S., Hamilton, WL, Leskovec, J. & Jurafsky, D. Community Interaction and Conflict on the Web. In Proc. World Wide Web Conference 2018 933-943 (2018).
Waller, I. & Anderson, A. GPs and Specialists: Using Community Integrations to Quantify the Diversity of Activities on Online Platforms. In Proc. World Wide Web Conference 2019 1954-1964 (2019).
Levy, O. & Goldberg, Y. Addiction-based word embeddings. In Proc. 52nd Annual Meeting of the Association for Computational Linguistics 2, 302â308 (2014).
Levy, O. & Goldberg, Y. Inclusion of neural words as an implicit matrix factorization. Av. Neural Inf. To treat. Syst. 27, 2177-2185 (2014).
Schlechtweg, D., Oguz, C. & im Walde, SS, Second order co-occurrence sensitivity of skip-gram with negative sampling. Preprint at https://arxiv.org/abs/1906.02479 (2019).