What Influences People to Broaden Their Horizons?

Kakiuchi, Kota; Nishiguchi, Mao; Toriumi, Fujio; Takano, Masanori; Wada, Kazuya; Fukuda, Ichiro

doi:10.1109/wi.2018.0-103

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The combination of similarity of ABEMA with television and the presence of detailed logs of audience behavior (watched contents, watching duration, and comment posting) as an internet media significantly benefits the research on media communication [52,53]. We exploit this to investigate the immediate effects of news exposure.…”

Section: Plos Onementioning

confidence: 99%

Three clusters of content-audience associations in expression of racial prejudice while consuming online television news

et al. 2021

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It is well investigated that the expression of racial prejudice is often induced by news coverage on the internet, and the exposure to media contributes to the cultivation of long-term prejudice. However, there is a lack of information regarding the immediate effects of news delivered through television or television-like media on the expression of racial prejudice. This study provides a framework for understanding such effects by focusing on content-audience associations using the logs of an “online television” service, which provides television-like content and user experiences. With these logs, we found an association between the news-watching and comment-posting behaviors. Consequently, logs relevant to two distinct forms of racism, modern and old-fashioned racism, were extracted. Using mathematical modeling, which considers the different levels of program inducements to racist expression, personal inclinations of audiences to racism, and certainty of prediction of audience behaviors, we found three associative patterns between the news programs and audiences. The relevance of the topics covered to the basic beliefs of each form of racism was characterized into three clusters: expression as a reaction to news that is directly relevant to the basic beliefs of racism with weak inducements by non-bigots, minority abuse by distorting the meanings of news content indirectly relevant to the beliefs but with strong inducements by audiences with a strong bias, and racial toxic opinions independent of the news content by clear bigots. Our findings provide implications for inhibiting the expression of online prejudice based on the characteristics of these patterns.

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Section: Plos Onementioning

confidence: 99%

Three clusters of content-audience associations in expression of racial prejudice while consuming online television news

et al. 2021

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“…This is one of the popular streaming video distribution platforms in Japan, particularly among young people (active users account for 12 million per month [44]). These similarities with television news and detailed audience behavior logs available from Internet applications are useful for media communication studies [45], [46].…”

Section: Datasetmentioning

confidence: 99%

Effects of Incidental Brief Exposure to News on News Knowledge While Scrolling Through Videos

et al. 2021

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“…Many studies have suggested that selective exposure, both self-selection, and pre-selection, limits people’s exposure to diverse content (i.e. filter bubble) and increases polarization [9]. Self-selection is the tendency for users to consume content or build new relationships that confirm their existing beliefs and preferences.…”

Section: Introductionmentioning

confidence: 99%

Endogenetic structure of filter bubble in social networks

et al. 2019

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The filter bubble is an intermediate structure to provoke polarization and echo chambers in social networks, and it has become one of today's most urgent issues for social media. Previous studies usually equated filter bubbles with community structures and emphasized this exogenous isolation effect, but there is a lack of full discussion of the internal organization of filter bubbles. Here, we design an experiment for analysing filter bubbles taking advantage of social bots. We deployed 128 bots to Weibo (the largest microblogging network in China), and each bot consumed a specific topic (entertainment or sci-tech) and ran for at least two months. In total, we recorded about 1.3 million messages exposed to these bots and their social networks. By analysing the text received by the bots and motifs in their social networks, we found that a filter bubble is not only a dense community of users with the same preferences but also presents an endogenetic unidirectional star-like structure. The structure could spontaneously exclude non-preferred information and cause polarization. Moreover, our work proved that the felicitous use of artificial intelligence technology could provide a useful experimental approach that combines privacy protection and controllability in studying social media.

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What Influences People to Broaden Their Horizons?

Cited by 4 publications

References 17 publications

Three clusters of content-audience associations in expression of racial prejudice while consuming online television news

Three clusters of content-audience associations in expression of racial prejudice while consuming online television news

Effects of Incidental Brief Exposure to News on News Knowledge While Scrolling Through Videos

Endogenetic structure of filter bubble in social networks

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