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      Fake news and ideological polarization : Filter bubbles and selective exposure on social media

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      Business Information Review
      SAGE Publications

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          Most cited references31

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          Experimental evidence of massive-scale emotional contagion through social networks.

          Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks [Fowler JH, Christakis NA (2008) BMJ 337:a2338], although the results are controversial. In an experiment with people who use Facebook, we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks. This work also suggests that, in contrast to prevailing assumptions, in-person interaction and nonverbal cues are not strictly necessary for emotional contagion, and that the observation of others' positive experiences constitutes a positive experience for people.
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            Polarization and Partisan Selective Exposure

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              Community, Communication, and Participation: The Role of Mass Media and Interpersonal Discussion in Local Political Participation

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                Author and article information

                Journal
                Business Information Review
                Business Information Review
                SAGE Publications
                0266-3821
                1741-6450
                August 23 2017
                September 2017
                August 23 2017
                September 2017
                : 34
                : 3
                : 150-160
                Affiliations
                [1 ]Independent Scholar
                Article
                10.1177/0266382117722446
                75dfd891-5a1b-4bb1-9a77-85bc51e9e651
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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