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      Where are human subjects in Big Data research? The emerging ethics divide

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      Big Data & Society
      SAGE Publications

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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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            A firm foundation for private data analysis

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              Big Data ethics

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                Author and article information

                Journal
                Big Data & Society
                Big Data & Society
                SAGE Publications
                2053-9517
                2053-9517
                February 17 2016
                June 05 2016
                : 3
                : 1
                : 205395171665021
                Article
                10.1177/2053951716650211
                2ca0fd06-ed54-45a6-9268-4ac3aaad62ec
                © 2016
                History

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