Ideological Segregation Online and Offline

By Matthew Gentzkow, Jesse M. Shapiro. 2011

941 citations recorded by the source corpus.

Subfields: Communication, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/fef4d896d87eb2f85a397452c11b787135d6ee05

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Natalie Jomini Stroud
2. Ro’ee Levy
3. Jay D. Hmielowski
4. John T. Jost
5. Myiah J. Hutchens
6. Michael A. Beam
7. Benjamin K. Johnson
8. Sean A Munson

In Political Science and International Relations

1. Sharad Goel
2. Ro’ee Levy
3. R. Kelly Garrett
4. Shanto Iyengar
5. E. Peterson
6. Manudeep Bhuller
7. Yeon-Koo Che
8. Justin M. Rao

In Sociology and Political Science

1. Ro’ee Levy
2. Sharad Goel
3. Shanto Iyengar
4. E. Peterson
5. Magne Mogstad
6. Tarjei Havnes
7. Natalie Jomini Stroud
8. David Y. Yang

Citations in the corpus

• Optimal Dynamic Allocation of Attention (2018, methodology): “Gentzkow and Shapiro (2010) pioneered this method for daily newspapers; Martin and Yurukoglu (2017) use it to identify the bias of cable news channels.”
• Facebook news and (de)polarization: reinforcing spirals in the 2016 US election (2018, background): “…polarization patterns found here are similar to past studies that have utilized large datasets from logged observation data, including studies from Facebook (Bakshy et al., 2015), comScore (Gentzkow & Shapiro, 2011), and secondary RDD survey analyses (Boxell et al., 2017; Holmes & McNeal, 2016).”
• Homophily, Group Size, and the Diffusion of Political Information in Social Networks: Evidence from Twitter (2016, positive): “Further, these interactions with political discussants exhibit the highest levels of segregation found in the 14 different types of interactions examined in Gentzkow and Shapiro (2011), suggesting that social media may be a force for increasing ideological segregation.”
• Curated Flows: A Framework for Mapping Media Exposure in the Digital Age (2016, background): “…et al., 2011; Webster & Ksiazek, 2012), in part because, as noted above, personal curation is not undertaken to an equal extent by all individuals or equally across topic domains, and in part because of tendencies toward omnivorousness among intense news consumers (Gentzkow & Shapiro, 2011).”
• Tweeting From Left to Right (2015, background): “Previous investigations of selective exposure to media have relied either on self-reported survey responses (Gentzkow & Shapiro, 2011; Pfau, Houston, & Semmler, 2007), which are subject to measurement error and socialdesirability bias, or on behavior exhibited in laboratory experiments (Garrett,…”
• The Politics of Attention (2018, neutral): “For example, Gentzkow and Shapiro (2011) estimates indicies of ideological segregation using large-scale data on online and off-line news consumption.”