Social media platforms provide several social interactional features. Due to the large scale reach of social media, these interactional features help enable various types of political discourse. Constructive and diversified discourse is important for sustaining healthy communities and reducing the impact of echo chambers. In this paper, we empirically examine the role of a newly introduced Twitter feature, 'quote retweets' (or 'quote RTs') in political discourse, specifically whether it has led to improved, civil, and balanced exchange. Quote RTs allow users to quote the tweet they retweet, while adding a short comment. Our analysis using content, network and crowd labeled data indicates that the feature has increased political discourse and its diffusion, compared to existing features. We discuss the implications of our findings in understanding and reducing online polarization.
Finally, although interactional features like retweets in general have enabled rich discourse on a variety of topics, they have also been employed for deviant online activities. Being an open forum with an ease to conceive personal identity has led to the rise of trolls on different online platforms, Ex., Wikipedia @cite_16 , forum comments @cite_6 @cite_18 , online games @cite_11 , and Facebook @cite_21 @cite_12 . Building on this line of research, one of the contributions of this paper is characterizing the civility of political discourse on Twitter via the quote RT feature.
@cite_18 @cite_21 @cite_6 @cite_16 @cite_12 @cite_11
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In an effort to clean up user comment sections, news organizations have turned to Facebook, the world's largest social network site, as a way to make users more identifiable and accountable for the content they produce. It is hypothesized that users leaving comments via their Facebook profile will be less likely to engage in uncivil and impolite discussion, even when it comes to discussing politically sensitive and potentially divisive issues. By analysing the content of discussion as it occurs in response to political news content on the Washington Post Facebook, and comparing it to that which occurs on the Washington Post website where users are afforded a relatively high level of anonymity, the present study determines the extent to which Facebook increases the level of civility and impoliteness in an area of political discussion renowned for uncivil and impolite communicative behaviour. In line with earlier theories of social interaction, the paper finds that political discussion on The Washington Pos... This study explores the issue of “civility” in anonymous comments posted to news media websites. A textual analysis of journalistic essays about the issue and more than 900 audience-member response... Research on trolls is scarce, but their activities challenge online communities; one of the main challenges of the Wikipedia community is to fight against vandalism and trolls. This study identifies Wikipedia trollsâ behaviours and motivations, and compares and contrasts hackers with trolls; it extends our knowledge about this type of vandalism and concludes that Wikipedia trolls are one type of hacker. This study reports that boredom, attention seeking, and revenge motivate trolls; they regard Wikipedia as an entertainment venue, and find pleasure from causing damage to the community and other people. Findings also suggest that trollsâ behaviours are characterized as repetitive, intentional, and harmful actions that are undertaken in isolation and under hidden virtual identities, involving violations of Wikipedia policies, and consisting of destructive participation in the community. This study explores use of the social network site Facebook for online political discussion. Online political discussion has been criticized for isolating disagreeing persons from engaging in discussion and for having an atmosphere of uncivil discussion behavior. Analysis reveals the participation of disagreeing parties within the discussion with the large majority of posters (73 percent) expressing support for the stated position of the Facebook group, and a minority of posters (17 percent) expressing opposition to the position of the group. Despite the presence of uncivil discussion posting within the Facebook group, the large majority of discussion participation (75 percent) is devoid of flaming. Results of this study provide important groundwork and raise new questions for study of online political discussion as it occurs in the emergent Internet technologies of social network sites. One problem facing players of competitive games is negative, or toxic, behavior. League of Legends, the largest eSport game, uses a crowdsourcing platform called the Tribunal to judge whether a reported toxic player should be punished or not. The Tribunal is a two stage system requiring reports from those players that directly observe toxic behavior, and human experts that review aggregated reports. While this system has successfully dealt with the vague nature of toxic behavior by majority rules based on many votes, it naturally requires tremendous cost, time, and human efforts. In this paper, we propose a supervised learning approach for predicting crowdsourced decisions on toxic behavior with large-scale labeled data collections; over 10 million user reports involved in 1.46 million toxic players and corresponding crowdsourced decisions. Our result shows good performance in detecting overwhelmingly majority cases and predicting crowdsourced decisions on them. We demonstrate good portability of our classifier across regions. Finally, we estimate the practical implications of our approach, potential cost savings and victim protection.