Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing 2014
DOI: 10.1145/2531602.2531734
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Cursing in English on twitter

Abstract: Cursing is not uncommon during conversations in the physical world: 0.5% to 0.7% of all the words we speak are curse words, given that 1% of all the words are first-person plural pronouns (e.g., we, us, our). On social media, people can instantly chat with friends without face-to-face interaction, usually in a more public fashion and broadly disseminated through highly connected social network. Will these distinctive features of social media lead to a change in people's cursing behavior? In this paper, we exam… Show more

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Cited by 124 publications
(119 citation statements)
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“…Our curse word lexicon is the top ten most frequently used curse words as determined by Wang et al [48].…”
Section: Approachmentioning
confidence: 99%
“…Our curse word lexicon is the top ten most frequently used curse words as determined by Wang et al [48].…”
Section: Approachmentioning
confidence: 99%
“…Existing NLP and ML approaches to profanity detection in online communities include [13][14] [15]. Some of these (e.g.…”
Section: Background On Detecting Profanity and Insultsmentioning
confidence: 99%
“…Some of these (e.g. [13][14]) rely on word lists, either created by the researchers themselves, or using a combination of downloadable lists. Others (e.g.…”
Section: Background On Detecting Profanity and Insultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The prevalent toxicity across video games and online communities has posed both theoretical and practical challenges to governance [1,12,21,38]. What constitutes the optimal mode of governance, as well as under what criteria [7,9,13,22] has always been a contested topic, with no definite answer.…”
Section: Introductionmentioning
confidence: 99%