Republic.com 2.0

By Cass R. Sunstein. 2007

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In Social Sciences & Humanities

Citations in the corpus

Degenerate Feedback Loops in Recommender Systems (2019, background): “…being positively or negatively reinforced by repeated exposure to a certain item or category of items, thereby generalizing the deﬁnition in Sunstein (2009), where the term is used to refer to over-Copyright and limited-exposure to similar political opinions reinforcing one’s existing…”
How algorithmic popularity bias hinders or promotes quality (2017, background): “Mechanisms such as unfriending and triadic closure facilitate the formation of homogeneous “echo chambers” [32] or “ﬁlter bubbles” [24] that may further distort engagement metrics by selective exposure.”
Political Polarization on Twitter (2011, background): “Social media play an important role in shaping political discourse in the U.S. and around the world (Bennett 2003; Benkler 2006; Sunstein 2007; Farrell and Drezner 2008; Aday et al. 2010; Tumasjan et al. 2010; O'Connor et al. 2010).”
Enterprise Social Media: Definition, History, and Prospects for the Study of Social Technologies in Organizations (2013, background): “The potential balkanizing effects of the Internet have been examined in diverse arenas, including political behavior (Sunstein, 2009), entertainment choices (Pariser, 2011), and even science (VanAlstyne&Brynjolfsson,2005).”
The Dynamics of Audience Fragmentation: Public Attention in an Age of Digital Media (2012, background): “One type of audience behavior that is often implied in commentaries on fragmentation is the inclination of users to hunker down in ''enclaves'' of agreeable, like-minded media (e.g., Sunstein, 2007).”
Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity (2018, unknown): “They might serve people ‘ more of the same ’ (e.g. Sunstein, 2007) and fail to represent the diversity of topics in society.”
Does Enclave Deliberation Polarize Opinions? (2015, background): “Other scholars (e.g. Karpowitz et al. 2009; see also Sunstein 2007, 76–77) have pointed out the importance of enclave deliberation for political articulation and mobilization, especially for those in disadvantaged positions.”
The Effect of Newspaper Entry and Exit on Electoral Politics (2011, background): “…years, the possibility that the Internet may lead to further newspaper closures has provoked concerns about falling political participation (SchulhoferWohl and Garrido 2009), increased ideological polarization (Sunstein 2007), and the elimination of a check on government corruption (Starr 2009).”
Consumer Demand for Cynical and Negative News Frames (2014, background): “See, for example, Mutz and Martin (2001), Negroponte (1995), Prior (2005, 2007), and Sunstein (2007).”
Partisan asymmetries in online political activity (2012, background): “…by the large-scale creation and exchange of user-generated content (Kaplan and Haenlein, 2010), a production and consumption model that stands in stark contrast to the centralized editorial and distribution processes typical of traditional media outlets (Benkler, 2006; Sunstein, 2007).”
Breaking the filter bubble: democracy and design (2015, background): “…may refrain from disclosing what they know due to social pressure and be reluctant to dissent, thus not submitting the information to deliberation (Sunstein 2007), (8) forcing participants to deliberation with limiting their arguments due to commonly shared rational premises, public reason or…”
Exposure diversity as a design principle for recommender systems (2018, background): “This warning mirrors the debates on ‘ filter bubbles ’ (Pari-ser, 2011), ‘ echo chambers ’ , ‘ information cocoons ’ (Sunstein, 2007) and other concerns in the academic and public debates over the fragmentation of public discourse.”
Governance by algorithms: reality construction by algorithmic selection on the Internet (2017, background): “…where people only access information that confirms their own opinion, or communicate with likeminded people, with potentially negative democratic consequences for societies, such as endangering two preconditions for democratic systems: unplanned encounters and shared experience (Sunstein, 2007).”
Measuring Online Social Bubbles (2015, background): “e algorithmic, social, a combination of both, and whether they are used with or without user awareness — have biases that affect our access to information in important ways. In one line of reasoning, (9,10) and (11) have argued 2 that the reliance on personalization and social media can lead people ”
The End of Framing as we Know it … and the Future of Media Effects (2016, background): “…consistently with their prior beliefs, but also to rely on highly homophilic self-selected online social networks—often labeled ‘‘echo chambers’’ (Sunstein, 2007) or ‘‘filter bubbles’’ (Pariser, 2011)—that further narrow our information diets and interpretation of new information; and (c)…”
The Effect of Recommendations on Network Structure (2016, background): “In particular, Pariser [24], Sunstein [27], and others have warned that algorithmic recommendations can create“ﬁlter bubbles”or“echo chambers,” in which individuals are largely exposed to conforming opinions.”