Difference between revisions of "Cursing in English on Twitter"
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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 examine the characteristics of cursing activity on a popular social media platform – Twitter, involving the analysis of about 51 million tweets and about 14 million users. In particular, we explore a set of questions that have been recognized as crucial for understanding cursing in offline communications by prior studies, including the ubiquity, utility, and contextual dependencies of cursing. | 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 examine the characteristics of cursing activity on a popular social media platform – Twitter, involving the analysis of about 51 million tweets and about 14 million users. In particular, we explore a set of questions that have been recognized as crucial for understanding cursing in offline communications by prior studies, including the ubiquity, utility, and contextual dependencies of cursing. | ||
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+ | ==Introduction== | ||
+ | |||
+ | ==Method and Analysis== | ||
+ | |||
+ | ===Data Collection=== | ||
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+ | ===Cursing Lexicon Coding=== | ||
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+ | ===Cursing Frequency and Choice of Curse Words=== | ||
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+ | ===Cursing vs. Emotion=== | ||
+ | |||
+ | ===Cursing vs. Time=== | ||
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+ | ===Cursing vs. Message Type=== | ||
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+ | ===Cursing vs. Location=== | ||
+ | |||
+ | ===Cursing vs. Gender=== | ||
+ | |||
+ | ==Limitations== | ||
+ | |||
+ | ==Conclusion== | ||
+ | |||
+ | ==Acknowledgments== |
Revision as of 04:39, 26 February 2014
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
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 examine the characteristics of cursing activity on a popular social media platform – Twitter, involving the analysis of about 51 million tweets and about 14 million users. In particular, we explore a set of questions that have been recognized as crucial for understanding cursing in offline communications by prior studies, including the ubiquity, utility, and contextual dependencies of cursing.