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      Fifteen Seconds of Fame: TikTok and the Supply Side of Social Video

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          Abstract

          TikTok has rapidly developed from a punchline for jokes about “kids these days” into a formidable force in American politics. The speed of this development is unprecedented, even in the rapidly-changing world of digital politics. Through a combination of hashtag and snowball sampling, we identify 11,546 TikTok accounts who primarily post about politics, allowing us to analyze trends in the posting, viewing and commenting behavior on 1,998,642 tiktoks they have uploaded. We test a number of theories about how the unique combination of affordances on TikTok shapes how it is used for political communication. Compared to the dominant platform for political videos (YouTube) we find that a higher percentage of TikTok users upload videos, TikTok view counts are more dominated by virality, and viewership of videos are less dependent on a given accounts’ number of followers/subscribers. We discuss how these findings affect the production of content that ultimately determines the experience of TikTok consumers.

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          Experimental study of inequality and unpredictability in an artificial cultural market.

          Hit songs, books, and movies are many times more successful than average, suggesting that "the best" alternatives are qualitatively different from "the rest"; yet experts routinely fail to predict which products will succeed. We investigated this paradox experimentally, by creating an artificial "music market" in which 14,341 participants downloaded previously unknown songs either with or without knowledge of previous participants' choices. Increasing the strength of social influence increased both inequality and unpredictability of success. Success was also only partly determined by quality: The best songs rarely did poorly, and the worst rarely did well, but any other result was possible.
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            cocor: A Comprehensive Solution for the Statistical Comparison of Correlations

            A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool.
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              Video game loot boxes are psychologically akin to gambling

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                Author and article information

                Contributors
                Journal
                CCR
                Computational Communication Research
                Amsterdam University Press (Amsterdam )
                2665-9085
                2665-9085
                October 2022
                : 4
                : 2
                : 463-485
                Affiliations
                University of Konstanz
                Pennsylvania State University
                University of Amsterdam
                Article
                CCR2022.2.004.GUIN
                10.5117/CCR2022.2.004.GUIN
                434ae99e-b53e-4282-b5c6-2ecd6d21b476
                © Benjamin Guinaudeau, Kevin Munger & Fabio Votta

                This is an open access article distributed under the terms of the CC BY-NC 4.0 license. http://creativecommons.org/licenses/by/4.0

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                content analysis,TikTok,social media,political communication

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