Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work 2010
DOI: 10.1145/1718918.1718953
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Cited by 486 publications
(75 citation statements)
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“…Online social networking environments present a tremendous scientific opportunity: they generate largescale data about the communication patterns and preferences of hundreds of millions of individuals [1], which can be analyzed to form sophisticated models of individual and group behavior [2,3]. However, some researchers have questioned the validity of such data, pointing out that social media content is largely focused on entertainment and emotional expression [4,5], potentially rendering it a poor measure of the behaviors and outcomes typically of interest to social scientists.…”
Section: Introductionmentioning
confidence: 99%
“…Online social networking environments present a tremendous scientific opportunity: they generate largescale data about the communication patterns and preferences of hundreds of millions of individuals [1], which can be analyzed to form sophisticated models of individual and group behavior [2,3]. However, some researchers have questioned the validity of such data, pointing out that social media content is largely focused on entertainment and emotional expression [4,5], potentially rendering it a poor measure of the behaviors and outcomes typically of interest to social scientists.…”
Section: Introductionmentioning
confidence: 99%
“…The rest reported the latest news or commented on current events. Naaman et al confirmed that a large amount of content that Twitter users shared focused on themselves (Naaman, Boase, & Lai, 2010). They explained that these self-focused messages helped maintain relationships with their friends by enhancing the authors' presence.…”
Section: Motivations Behind Micro-bloggingmentioning
confidence: 99%
“…We particularly have chosen only individual Twitter users by excluding spammers, bots, marketers, organizations, and companies. Additionally, in order to eliminate dead and inactive accounts, only users who had at least 10 friends, 10 followers, had tweeted in 7 days, and had posted at least 500 messages were included in the study 3 . The male/female ratio was 50:50, and whether the user is male or female was determined by user name, profile information, and profile pictures.…”
Section: Participantsmentioning
confidence: 99%
“…To analyze the content of tweets, the last 20 tweets of each user were retrieved and coded, except for direct replies (tweets that address another specific user with "@username"). Overall, a total 4000 tweets were obtained, which were then coded into 7 categories, 2 sub-categories, and 5 genres derived from Naaman et al 3 . A single bilingual Japanese coder coded the tweets during the 4th week of November and the 1st week of December 2011.…”
Section: Codingmentioning
confidence: 99%
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