#Republic: Divided Democracy in the Age of Social Media
By Alvin Zhou. 2017
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ro’ee Levy
- Jesse M. Shapiro
- Matthew Gentzkow
- Stephan Lewandowsky
- Dimitar Nikolov
- Filippo Menczer
- David M. J. Lazer
- Alessandro Flammini
Citations in the corpus
- Public Health and Online Misinformation: Challenges and Recommendations. (2019, background): “Another recent concern has been over misinformation echo chambers where individuals have an information diet that reinforces their worldview and extremism is exacerbated (108).”
- Quantifying Biases in Online Information Exposure (2018, background): “So-called “echo chambers” (Sunstein, 2017) and “filter bubbles” (Pariser, 2011) have been claimed to be pathological consequences of social media algorithms and to lead to polarization (Conover et al.”
- The Strengthening of Partisan Affect (2018, background): “Several scholars thus single out the technologically enhanced media environment and partisans’ ability to encounter “friendly” information providers as an especially influential agent of polarization (see, for instance, Sunstein, 2017).”
- Caste in the News: A Computational Analysis of Indian Newspapers (2019, background): “It’s also no surprise that terrorist groups have been able to exploit with big efficiency social media to deadly effect (Sunstein, 2018).”
- Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools (2019, background): “Along the same lines, it has been argued that personalized filtering on social-media platforms may be instrumental in creating “filter bubbles” (Pariser, 2011) or “echo chambers” (Sunstein, 2017); echo chambers are information environments “in which individuals are exposed only to information from l”
- Facebook news and (de)polarization: reinforcing spirals in the 2016 US election (2018, background): “social media newsfeeds may also be contributing to increasing levels of affective polarization (Sunstein, 2017).”
- Cross-Country Trends in Affective Polarization (2020, background): “Similarly, a number of authors (e.g., Lelkes et al., 2017; Sunstein, 2017; Settle, 2018) have linked polarization in the United States to the rise of digital media, and others (e.g., Duca & Saving, 2017; Martin & Yurukoglu, 2017) have linked the growth in polarization to the rise of partisan cable…”
- Political Effects of the Internet and Social Media (2020, unknown): “…could change attitudes: previously tolerant individuals might become hateful after being exposed to xenophobic views online, whereas individuals with moderately xenophobic views might become more extreme as a result of the polarizing effects of “echo chambers” (Sunstein, 2001, 2017; Settle, 2018).”
- Social Media, News Consumption, and Polarization: Evidence from a Field Experiment (2020, background): “Suggestions include making algorithms more transparent,64 nudging users to diversify their feed, and modifying algorithms such that they encourage serendipitous encounters (Pariser, 2011; Sunstein, 2017).”
- Organizational Decision-Making Structures in the Age of Artificial Intelligence (2019, background): “37 Addressing these concerns requires the joint efforts of policy makers, the academic community, business leaders, and designers of algorithmic decision-making systems.”