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Quantification of social organization and political polarization in online platforms

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  • 1.

    Sunstein, C. #Republic: Divided Democracy in the Age of Social Media (Princeton Univ. Press, 2018).

  • 2.

    Iyengar, S. & Hahn, KS Red media, blue media: Evidence of ideological selectivity in media use. J. Komm. 59, 19-39 (2009).

    Article Google Scholar

  • 3.

    van Alstyne, M. & Brynjolfsson, E. Electronic Communities: Global Villages or Cyberbalkanization? In Proz. International Conference on Information Systems 5 https://aisel.aisnet.org/icis1996/5 (1996).

  • 4th

    van Dijck, J. The Culture of Connectivity: A Critical History of Social Media (Oxford Univ. Press, 2013).

  • 5.

    McLuhan, M. The Gutenberg Galaxy: The Making of Typographic Man (Univ. Of Toronto Press, 1962).

  • 6th

    Farrell, H. The Impact of the Internet on Politics. Ann. Rev. Pol. Science 15, 35-52 (2012).

    Article Google Scholar

  • 7th

    Conover, MD et al. Political polarization on Twitter. Proc. Intl. AAAI conf. WebSoc. Media 133: 89-96 (2011).

    Google Scholar

  • 8th.

    Bail, CA et al. Dealing with opposing views on social media can increase political polarization. Proc. Natl Acad. Science USA 115, 9216-9221 (2018).

    CAS article Google Scholar

  • 9.

    Martin, T. community2vec: Vector representations of online communities encode semantic relationships. In Proc. 2nd workshop on NLP and Computational Social Science 27–31 (2017).

  • 10.

    Garg, N., Schiebinger, L., Jurafsky, D. & Zou, J. Word embeddings quantify 100 years of gender and ethnic stereotypes. Proc. Natl Acad. Science USA 115, E3635 – E3644 (2018).

    CAS article Google Scholar

  • 11.

    Bolukbasi, T., Chang, K.-W., Zou, JY, Saligrama, V. & Kalai, AT Is the man for the computer programmer like the woman for the housewife? Debiasing word embeddings. Erw. Neural Inf. Procedures. Syst. 29, 4349-4357 (2016).

  • 12th

    Caliskan, A., Bryson, JJ & Narayanan, A. Semantics that are automatically derived from language corpora contain human-like biases. Science 356, 183-186 (2017).

    ADS CAS PubMed Google Scholar

  • 13th

    Kozlowski, AC, Taddy, M. & Evans, JA The Geometry of Culture: Analyzing the Meaning of Class through Word Embeddings. Am. Social Rev. 84, 905-949 (2019).

    Article Google Scholar

  • 14th

    Shi, F., Shi, Y., Dokshin, FA, Evans, JA & Macy, MW Millions of online book purchases show partisan differences in science consumption. Nat. Buzz. Behavior 1, 0079 (2017).

    Article Google Scholar

  • fifteen.

    Del Vicario, M. et al. Echo Chambers: Emotional Contagion and Group Polarization on Facebook. Science Rep. 6, 37825 (2016).

    ADS article Google Scholar

  • 16.

    Pariser, E. The Filter Bubble: What the Internet Hides from You (Penguin, 2011).

  • 17th

    Flaxman, S., Goel, S. & Rao, JM Filter Bubbles, Echo Chambers, and Online Message Consumption. Public opinion. Question 80, 298-320 (2016).

    Article Google Scholar

  • 18th

    Bakshy, E., Messing, S. & Adamic, LA Exposure to ideologically diverse news and opinions on Facebook. Science 348, 1130-1132 (2015).

    ADS MathSciNet CAS Article Google Scholar

  • 19th

    DiMaggio, P., Evans, J. & Bryson, B. Are Americans’ Social Attitudes More Polarized? Am. J. Sociol. 102: 690-755 (1996).

    Article Google Scholar

  • 20th

    Barberá, P., Jost, JT, Nagler, J., Tucker, JA & Bonneau, R. Tweet from left to right: Is online political communication more than an echo chamber? Psychol. Wissenschaft 26, 1531-1542 (2015).

    Article Google Scholar

  • 21.

    Adamic, LA & Glance, N. The Political Blogosphere and the 2004 US Election: Split Blogs. In Proc. 3rd International Workshop on Link Discovery 36–43 (2005).

  • 22nd

    A 2016 electorate survey 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).

  • 23

    Hawley, G. Sense of Alt-Right (Columbia Univ. Press, 2017).

  • 24

    Simmel, G. Conflict and the Web of Group Affiliations (Free Press, 1955).

  • 25th

    Breiger, RL The duality of people and groups. Social Forces 53, 181-190 (1974).

    Article Google Scholar

  • 26th

    Bourdieu, P. Distinction: A Social Criticism of the Judgment of Taste (Routledge, 1984).

  • 27

    Crenshaw, KW On Intersectionality: Essential Writings (The New Press, 2017).

  • 28.

    Baumgartner, J., Zannettou, S., Keegan, B., Squire, M. & Blackburn, J. The Pushshift Reddit record. In Proc. International AAAI Conference on Web and Social Media 14, 830–839 (2020).

  • 29

    Reddit Privacy Policy Reddit https://www.redditinc.com/policies/privacy-policy (2021).

  • 30th

    Kumar, S., Hamilton, WL, Leskovec, J. & Jurafsky, D. Community Interaction and Conflict on the Web. In Proc. 2018 World Wide Web Conference 933–943 (2018).

  • 31.

    Waller, I. & Anderson, A. Generalists and Specialists: Using Community Embeddings to Quantify the Diversity of Activity in Online Platforms. In Proz. 2019 World Wide Web Conference 1954–1964 (2019).

  • 32.

    Levy, O. & Goldberg, Y. Dependency-Based Word Embeddings. In Proc. 52nd Annual Meeting of the Society for Computational Linguistics 2, 302–308 (2014).

  • 33

    Levy, O. & Goldberg, Y. Neural Word Embedding as Implicit Matrix Factorization. Erw. Neural Inf. Procedures. Syst. 27: 2177-2185 (2014).

    Google Scholar

  • 34.

    Schlechtweg, D., Oguz, C. & im Walde, SS, second-order co-appearance sensitivity of skip-grams with negative sampling. Pre-printed at https://arxiv.org/abs/1906.02479 (2019).

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