2020
DOI: 10.47577/tssj.v3i1.59
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The #Brexit on the Facebook pages of the European institutions

Abstract: The Brexit referendum was among the first major public events where online users had no "slacktivism" reactions and they led the entire debate and popular will from the inside of the online world to the real world. It is becoming increasingly clear that Social Media is becoming an increasingly powerful tool in political debates, and during the parliamentary, presidential, European parliamentary or even referendum elections, it becomes the channel that can decide the final outcome. However, the debate in the on… Show more

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Cited by 2 publications
(4 citation statements)
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“…Authors of [7] study users' interactions, highlighting provoking and humorous posts in the political debate via Twitter. Authors of [20] analyze the political debate around Brexit via Facebook. Both works illustrate how users' behavior is strongly associated with intentions, e.g., the dissemination of ideas or missinformation through users' interactions.…”
Section: Related Workmentioning
confidence: 99%
“…Authors of [7] study users' interactions, highlighting provoking and humorous posts in the political debate via Twitter. Authors of [20] analyze the political debate around Brexit via Facebook. Both works illustrate how users' behavior is strongly associated with intentions, e.g., the dissemination of ideas or missinformation through users' interactions.…”
Section: Related Workmentioning
confidence: 99%
“…Online discussions have also been studied in the context of other platforms. For example, Tanase et al [12] studied the political debate around the Brexit on Facebook, analyzing messages that generated higher engagement from users. In [37], the authors developed a system to detect political ads on Facebook and used it to present evidence of misuse during the Brazilian 2018 elections.…”
Section: Online Discussion In Social Media Applicationsmentioning
confidence: 99%
“…We then look for statistical differences between communities based on the average values of the attributes. For Brazil, we identify 62 attributes (from the 64 available in LIWC's Portuguese dictionary) for which differences across communities are statistically significant 12 . For Italy, we identify 77 (from 83 available in the LIWC Italian dictionary).…”
Section: Psycholinguist Propertiesmentioning
confidence: 99%
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