2020
DOI: 10.1080/1369118x.2020.1749696
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Understanding attitudes towards social media segregation: spatial metaphors in the discussion of Twitter blocklists

Abstract: Blocking other users is a common act on Twitter but one which is underexplored from a scholarly perspective, particularly the analysis of mass blocklists. Although traditionally associated with harassment, blocklists are increasingly engaged to create individualised environments that align with users' personal convictions and exclude apparent transgressors. This study uses a pro-choice blocklist (Repeal Shield) created during the 2018 Irish abortion referendum campaign to explore how users interpret these alte… Show more

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Cited by 9 publications
(6 citation statements)
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“…We next turn to our survey experiment, in which we aimed to replicate our field results in a different context with a different subject pool, and to also shed light on underlying reasons for choosing to block other users. For instance, prior work has suggested that social media users may block accounts for reasons such as managing potential harm and risk ( 34 ) or curating personal news consumption ( 35 ). We recruited Twitter users through Lucid ( n = 606) and showed them one of three different Twitter account profiles (politically neutral, Democrat-favoring, Republican-favoring).…”
Section: Resultsmentioning
confidence: 99%
“…We next turn to our survey experiment, in which we aimed to replicate our field results in a different context with a different subject pool, and to also shed light on underlying reasons for choosing to block other users. For instance, prior work has suggested that social media users may block accounts for reasons such as managing potential harm and risk ( 34 ) or curating personal news consumption ( 35 ). We recruited Twitter users through Lucid ( n = 606) and showed them one of three different Twitter account profiles (politically neutral, Democrat-favoring, Republican-favoring).…”
Section: Resultsmentioning
confidence: 99%
“…Facts can be persuasively dismissed as “fake news” by those who deride expertise and use social media to promote their attitudes and beliefs as a part of their identity (Li & Su, 2020). In turn, algorithms, “bots,” and self‐selection create “echo chambers” centered around information and narratives that confirm existing beliefs, potentially shielding consumers from objectivity, creating a sense of false consensus, and encouraging choices that can harm well‐being (Bol et al, 2020; Wheatley & Vatnoey, 2022; Yuan et al, 2019).…”
Section: Social Media Paradoxesmentioning
confidence: 99%
“…Specifically, based on cookies and past browsing histories, recommender algorithms, RSS and the like can push similar content and bring people with overlapping commonalities into protest collectives (Resnick, 2004). Conversely, information and debates that run contrary to one's ideological stance would be conveniently blocked through automated keyword filtering or blocklists (Wheatley and Vatnoey, 2020). Digital platforms' centrifugal and centripetal forces, henceforth, lead to numerous contentious "filter bubbles" that are tightly-knitted from within but are disassociated from the mainstream media and other publics.…”
Section: Reversing the Uneven Movement-media/public Dynamicsmentioning
confidence: 99%