Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter

By I. Himelboim, S. McCreery, Marc A. Smith. J. Comput. Mediat. Commun., 2013

525 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/4651dcd6b59f59fe0f8149cf00073c8699640245

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Citations in the corpus

Birds of a Caste - How Caste Hierarchies Manifest in Retweet Behavior of Indian Politicians (2020, background): “Yet research has shown that Twitter users tend to be politically homogeneous and are unlikely to encounter cross-ideological content [38].”
The MAD Model of Moral Contagion: The Role of Motivation, Attention, and Design in the Spread of Moralized Content Online (2019, background): “…which some have likened to a “dumpster fire” (Maza, 2018) and often represent partisan bias more than thoughtful and balanced discussions of issues (Bakshy, Messing, & Adamic, 2015; Barberá et al., 2015; Brady et al., 2017; Colleoni, Rozza, & Arvidsson, 2014; Himelboim, Mccreery, & Smith, 2013).”
Stance Detection on Social Media: State of the Art and Trends (2020, methodology): “Thereby, predicting the stances is based on the user’s past behavior which can be extracted from network features along with the post’s content [Himelboim et al. 2013].”
Scientists on Twitter: Preaching to the choir or singing from the rooftops? (2018, background): “There is evidence that people selectively read what fits with their perception of the world (e.g., Sears and Freedman 1967; McPherson et al. 2001; Sunstein 2001; Himelboim et al. 2013).”
Homophily, Group Size, and the Diffusion of Political Information in Social Networks: Evidence from Twitter (2016, unknown): “Himelboim et al. (2013) study roughly 2000 messages on Twitter and find that polarization in communication in Twitter networks increases with the proportion of partisan users.”
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media (2017, background): “By examining cross-ideological exposure through content and network analysis, [17] showed that political talk on Twitter is highly partisan and users are unlikely to be exposed to cross-ideological content through their friendship network.”
Curated Flows: A Framework for Mapping Media Exposure in the Digital Age (2016, background): “…this work has, for example, contributed to our understanding of ideological polarization within particular networks (Adamic & Glance, 2005; Himelboim et al., 2013), with network gatekeeping in particular exploring how power may shift within information networks as traditional, elite…”
The echo chamber effect on social media (2021, background): “Some studies point out echo chambers as an emerging effect of human tendencies, such as selective exposure, contagion, and group polarization (13, 23, 29–31).”