Neutral bots probe political bias on social media
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Perrin, A. & Anderson, M. Share of Us Adults Using Social Media, Including Facebook, Is Mostly Unchanged Since 2018 (Pew Research Center, 2019).
Kramer, A. D., Guillory, J. E. & Hancock, J. T. Experimental evidence of massive-scale emotional contagion through social networks. Proc. Natl Acad. Sci. USA 111, 8788–8790 (2014).
Google Scholar
Bond, R. M. A 61-million-person experiment in social influence and political mobilization. Nature 489, 295–298 (2012).
Google Scholar
Muchnik, L., Aral, S. & Taylor, S. J. Social influence bias: a randomized experiment. Science 341, 647–651 (2013).
Google Scholar
Weninger, T., Johnston, T. J. & Glenski, M. Random voting effects in social-digital spaces. In Proc. 26th ACM Conference on Hypertext & Social Media, 293–297 (ACM, 2015).
Conover, M. D. et al. Political polarization on Twitter. In Proc. Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), 89–96 (AAAI, 2011).
Conover, M. D., Gonçalves, B., Flammini, A. & Menczer, F. Partisan asymmetries in online political activity. EPJ Data Sci. 1, 6 (2012).
Google Scholar
Hanna, A., et al. Partisan alignments and political polarization online. In Proc. 2nd Workshop on Politics, Elections, and Data, 15–22 (CIKM, 2013).
Schmidt, A. L., Zollo, F., Scala, A., Betsch, C. & Quattrociocchi, W. Polarization of the vaccination debate on Facebook. Vaccine 36, 3606–3612 (2018).
Google Scholar
Williams, H. T. P., McMurray, J. R., Kurz, T. & Lambert, F. H. Network analysis reveals open forums and echo chambers in social media discussions of climate change. Glob. Environ. Change 32, 126–138 (2015).
Google Scholar
Jamieson, K. H. & Cappella, J. N. Echo Chamber: Rush Limbaugh and the Conservative Media Establishment (Oxford University Press, 2008).
Garrett, R. K. Echo chambers online?: politically motivated selective exposure among Internet news users. J. Comput.-Medi. Commun. 14, 265–285 (2009).
Google Scholar
Lee, J. K., Choi, J., Kim, C. & Kim, Y. Social media, network heterogeneity, and opinion polarization. J. Commun. 64, 702–722 (2014).
Google Scholar
Flaxman, S., Goel, S. & Rao, J. M. Filter bubbles, echo chambers, and online news consumption. Public Opin. Q. 80, 298–320 (2016).
Google Scholar
Sunstein, C. R. #Republic: Divided Democracy in the Age of Social Media. (Princeton University Press, 2017).
Google Scholar
Garimella, K., De Francisci Morales, G., Gionis, A. & Mathioudakis, M. Political discourse on social media. In Proc. 2018 World Wide Web Conference, 913–922 (ACM, 2018).
Wojcieszak, M. ‘Don’t talk to me: effects of ideologically homogeneous online groups and politically dissimilar offline ties on extremism. New Media Soc. 12, 637–655 (2010).
Google Scholar
Del Vicario, M. The spreading of misinformation online. Proc. Natl Acad. Sci. USA 113, 554–559 (2016).
Google Scholar
Bright, J. Explaining the emergence of political fragmentation on social media: the role of ideology and extremism. J. Comput.-Mediat. Commun. 23, 17–33 (2018).
Google Scholar
Nikolov, D., Flammini, A. & Menczer, F. Right and left, partisanship predicts (asymmetric) vulnerability to misinformation. HKS Misinform. Rev. https://doi.org/10.37016/mr-2020-55 (2021).
Del Vicario, M., Scala, A., Caldarelli, G., Stanley, H. E. & Quattrociocchi, W. Modeling confirmation bias and polarization. Sci. Rep. 7, 40391 (2017).
Google Scholar
Sasahara, K. et al. Social influence and unfollowing accelerate the emergence of echo chambers. J. Comput. Soc. Sci. https://link.springer.com/article/10.1007/s42001-020-00084 (2020).
Hills, T. T. The dark side of information proliferation. Perspect. Psychol. Sci. 14, 323–330 (2019).
Google Scholar
Nickerson, R. S. Confirmation bias: a ubiquitous phenomenon in many guises. Rev. Gen. Psychol. 2, 175–220 (1998).
Google Scholar
McPherson, M., Lovin, L. S. & Cook, J. M. Birds of a feather: homophily in social networks. Annu. Rev. Sociol. 27, 415–444 (2001).
Google Scholar
Nikolov, D., Oliveira, D. F. M., Flammini, A. & Menczer, F. Measuring online social bubbles. PeerJ Comput. Sci. 1, e38 (2015).
Google Scholar
Baeza-Yates, R. Bias on the web. Commun. ACM 61, 54–61 (2018).
Google Scholar
Nikolov, D., Lalmas, M., Flammini, A. & Menczer, F. Quantifying biases in online information exposure. J. Assoc. Inf. Sci. Technol. 70, 218–229 (2019).
Google Scholar
Ciampaglia, G. L., Nematzadeh, A., Menczer, F. & Flammini, A. How algorithmic popularity bias hinders or promotes quality. Sci. Rep. 8, 1–7 (2018).
Google Scholar
Avram, M., Micallef, N., Patil, S. & Menczer, F. Exposure to social engagement metrics increases vulnerability to misinformation. HKS Misinform. Rev. (2020).
Ribeiro, M. H. et al. Auditing radicalization pathways on YouTube. In Proc. 2020 Conference on Fairness, Accountability, and Transparency, 131–141 (ACM, 2020).
Thompson, R. Radicalization and the use of social media. J. Strateg. Secur. 4, 167–190 (2011).
Google Scholar
Shao, C. The spread of low-credibility content by social bots. Nat. Commun. 9, 1–9 (2018).
Google Scholar
Stella, M., Ferrara, E. & Domenico, M. D. Bots increase exposure to negative and inflammatory content in online social systems. Proc. Natl Acad. Sci. USA 115, 12435–12440 (2018).
Google Scholar
Broniatowski, D. A. Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. Am. J. Public Health 108, 1378–1384 (2018).
Google Scholar
Zannettou, S. et al. Disinformation warfare. In Companion Proc. 2019 World Wide Web Conference, 218–226 (ACM, 2019).
Caldarelli, G., Nicola, R. D., Vigna, F. D., Petrocchi, M. & Saracco, F. The role of bot squads in the political propaganda on Twitter. Commun. Phys. 3, 81 (2020).
Google Scholar
Colleoni, E., Rozza, A. & Arvidsson, A. Echo chamber or public sphere? predicting political orientation and measuring political homophily in Twitter using big data. J. Commun. 64, 317–332 (2014).
Google Scholar
Hargreaves, E. et al. Fairness in online social network timelines: measurements, models, and mechanism design. Perform. Eval. 129, 15–39 (2019).
Google Scholar
Ferrara, E., Varol, O., Davis, C., Menczer, F. & Flammini, A. The rise of social bots. Commun. ACM 59, 96–104 (2016).
Google Scholar
Cha, M., Haddadi, H., Benevenuto, F. & Gummadi, K. P. Measuring user influence in Twitter. In Proc. 4th Intl. AAAI Conference on Weblogs and Social Media (ICWSM, 2010).
Mosleh, M., Martel, C., Eckles, D. & Rand, D. G. Shared partisanship dramatically increases social tie formation in a Twitter field experiment. Proc. Natl Acad. Sci. USA 118, e2022761118 (2021).
Google Scholar
Bessi, A. & Ferrara, E. Social bots distort the 2016 US presidential election online discussion. First Monday 21, 11. https://doi.org/10.5210/fm.v21i11.7090 (2016).
Deb, A., Luceri, L., Badaway, A. & Ferrara, E. Perils and challenges of social media and election manipulation analysis: the 2018 US midterms. In Companion Proc. WWW Conf. 237–247 (2019).
Varol, O., Ferrara, E., Davis, C. A., Menczer, F. & Flammini, A. Online human-bot interactions: Detection, estimation, and characterization. In Proc. Intl. AAAI Conf. on Web and Soc. Media (ICWSM, 2017).
Yang, K.-C. et al. Arming the public with artificial intelligence to counter social bots. Hum. Behav. and Emerg. Technol. 1, 48–61 (2019).
Google Scholar
Lazer, D. et al. The science of fake news. Science 359, 1094–1096 (2018).
Google Scholar
Benkler, Y., Faris, R. & Roberts, H. Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics. (Oxford University Press, 2018).
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B. & Lazer, D. Fake news on Twitter during the 2016 US presidential election. Science 363, 374–378 (2019).
Google Scholar
Yan, H., Yang, K.-C., Menczer, F. & Shanahan, J. Asymmetrical perceptions of partisan political bots. New Media Soc. https://doi.org/10.1177/1461444820942744 (2020).
Luceri, L., Deb, A., Badawy, A. & Ferrara, E. Red bots do it better: comparative analysis of social bot partisan behavior. In Companion Proc. 2019 World Wide Web Conference, 1007–1012 (ACM, 2019).
Ghosh, R., Surachawala, T. & Lerman, K. Entropy-based classification of ‘retweeting’ activity on Twitter. In Proc. 4th Workshop on Social Network Mining and Analysis (SNA-KDD), 1406–1415 (ACM, 2011).
Barbosa, H. S., Oliveira, M., Pacheco, D., Menezes, R. & Ghoshal, G. In Northeast Regional Conference on Complex Systems, (Binghamton, 2018).
Cota, W., Ferreira, S. C., Pastor-Satorras, R. & Starnini, M. Quantifying echo chamber effects in information spreading over political communication networks. EPJ Data Sci. 8, 35 (2019).
Google Scholar
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S. & Dean, J. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, 3111–3119 (Lake Tahoe, 2013).
Kozlowski, A. C., Taddy, M. & Evans, J. A. The geometry of culture: analyzing the meanings of class through word embeddings. Am. Sociol. Rev. 84, 905–949 (2019).
Google Scholar
Yang, K.-C., Hui, P.-M. & Menczer, F. Bot electioneering volume. In Companion Proc. 2019 World Wide Web Conference, 214–217 (ACM, 2019).
Bakshy, E., Messing, S. & Adamic, L. A. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 1130–1132 (2015).
Google Scholar
Robertson, R. E. et al. Auditing Partisan Audience Bias within Google Search. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW) (ACM, 2018).
Robertson, R. Partisan bias scores for web domains. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/QAN5VX (2018).
Guess, A., Nagler, J. & Tucker, J. Less than you think: prevalence and predictors of fake news dissemination on Facebook. Sci. Adv. 5, eaau4586 (2019).
Google Scholar
Pennycook, G. & Rand, D. G. Fighting misinformation on social media using crowdsourced judgments of news source quality. Proc. Natl Acad. Sci.USA 116, 2521–2526 (2019).
Google Scholar
Bovet, A. & Makse, H. A. Influence of fake news in Twitter during the 2016 US presidential election. Nat. Commun. 10, 7 (2019).
Google Scholar
Schank, T. & Wagner, D. Approximating clustering coefficient and transitivity. J. Graph Algorithms Appl. 9, 265–275 (2005).
Google Scholar
Chen, W., Pacheco, D., Yang, K.-C. & Menczer, F. Neutral bots probe political bias on social media. https://doi.org/10.5281/zenodo.4750190 (2021).