Conversational tagging in twitter

By Jeff Huang, Katherine Thornton, Efthimis N. Efthimiadis. ACM Conference on Hypertext & Social Media, 2010

312 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e4aa44202da29a8a6c2c2afa32adbf4c2bab2a12

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In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Adding semantics to microblog posts (2012, background): “Huang et al. [16] analyze the semantics of hashtags in more detail and reveal that hashtagging in Twitter is more commonly used to join public discussions than to organize content for future retrieval.”
Truthy: mapping the spread of astroturf in microblog streams (2010, background): “Content has been further analyzed to study consumer reactions to specific brands [28], the use of tags to alter content [25], its relation to headline news [30], and on the factors that influence the probability of a meme to be retweeted [45].”
Dynamical classes of collective attention in twitter (2011, background): “In particular, speciﬁc features of the popular item under consideration can now be related to its activity proﬁle by means of semantic analysis and natural language processing of the messages exchanged by the users [3, 15, 16].”
Analyzing user modeling on twitter for personalized news recommendations (2011, background): “further characterize the temporal dynamics of hashtags via statistical measures such as standard deviation and discover that some hashtags are used widely for a few days but then disappear quickly [9].”
Learning Semantic Relationships between Entities in Twitter (2011, background): “Research on temporal dynamics and information propagation on Twitter mostly focused on hashtags or observations of other sets of words in the tweets [16,17,11,20,3].”
The use of Twitter hashtags in the formation of ad hoc publics (2011, background): “…from the coordination of emergency relief (Hughes & Palen, 2009) to the most playful or expressive applications (as in Twitter ‘memes’) or jokes (Huang et al ., 2010); to the co-watching of and commentary on popular television programs (Deller, 2011); and of course – the topic of this paper –…”
Rumor has it: Identifying Misinformation in Microblogs (2011, background): “These hashtags are created by users, and are widely used for a few days, then disappear when the topic is outdated (Huang et al., 2010).”
#Communing affiliation: Social tagging as a resource for aligning around values in social media (2017, background): “Indeed, social tagging has itself been characterised as ‘conversational’ (Huang et al., 2010), with hashtagging contributing to ‘‘a conversational ecology . . .composed of a public interplay of voices that give rise to an emotional sense of shared conversational context” (Boyd et al., 2010: 1).”
We know what @you #tag: does the dual role affect hashtag adoption? (2012, background): “Playing this role, hashtags are employed as a mechanism to participate in online conversations [19] and join virtual communities [34, 12].”
The Tweets They Are a-Changin: Evolution of Twitter Users and Behavior (2014, background): “Recently, researchers have worked to gain a better understanding of how users socialize with others in the network: the conversation generated by mentioning another user (Macskassy 2012), and the top trending topics generated using hashtag (Huang, Thornton, and Efthimiadis 2010; Yang et al. 2012).”
More than words: Social networks' text mining for consumer brand sentiments (2013, background): “Huang, Thornton, and Efthimiadis (2010) found that the hashtag was invented by Twitter users early in 2008 to help followers find a specific tweet or post.”
Detecting and Tracking Political Abuse in Social Media (2011, background): “Twitter has recently been considered as case study for information diffusion.”