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      Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?

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          Abstract

          We estimated ideological preferences of 3.8 million Twitter users and, using a data set of nearly 150 million tweets concerning 12 political and nonpolitical issues, explored whether online communication resembles an "echo chamber" (as a result of selective exposure and ideological segregation) or a "national conversation." We observed that information was exchanged primarily among individuals with similar ideological preferences in the case of political issues (e.g., 2012 presidential election, 2013 government shutdown) but not many other current events (e.g., 2013 Boston Marathon bombing, 2014 Super Bowl). Discussion of the Newtown shootings in 2012 reflected a dynamic process, beginning as a national conversation before transforming into a polarized exchange. With respect to both political and nonpolitical issues, liberals were more likely than conservatives to engage in cross-ideological dissemination; this is an important asymmetry with respect to the structure of communication that is consistent with psychological theory and research bearing on ideological differences in epistemic, existential, and relational motivation. Overall, we conclude that previous work may have overestimated the degree of ideological segregation in social-media usage.

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          Most cited references23

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          Post-Broadcast Democracy

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            Latent Space Approaches to Social Network Analysis

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              Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

              We identified individual-level diurnal and seasonal mood rhythms in cultures across the globe, using data from millions of public Twitter messages. We found that individuals awaken in a good mood that deteriorates as the day progresses--which is consistent with the effects of sleep and circadian rhythm--and that seasonal change in baseline positive affect varies with change in daylength. People are happier on weekends, but the morning peak in positive affect is delayed by 2 hours, which suggests that people awaken later on weekends.
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                Author and article information

                Journal
                Psychol Sci
                Psychological science
                1467-9280
                0956-7976
                Oct 2015
                : 26
                : 10
                Affiliations
                [1 ] Center for Data Science pablo.barbera@nyu.edu.
                [2 ] Center for Data Science Department of Psychology Department of Politics.
                [3 ] Department of Politics.
                [4 ] Center for Genomics and Systems Biology, New York University.
                Article
                0956797615594620
                10.1177/0956797615594620
                26297377
                970ee6a3-4db8-4620-8fb6-8417585a62f9
                © The Author(s) 2015.
                History

                open data,open materials,polarization,political ideology,social media

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