tagging, communities, vocabulary, evolution

By Shilad Sen, Shyong K, Tony Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, John Riedl. Conference on Computer Supported Cooperative Work, 2006

482 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/3177a846021d40fd317ac8ec36d06c7b6e757297

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Citations in the corpus

Collaborative Filtering beyond the User-Item Matrix (2014, background): “—Tags: Tags are short textual labels that users assign to items [Robu et al. 2009; Sen et al. 2006].”
Tagsplanations: explaining recommendations using tags (2009, background): “Furthermore, tags provide both factual and subjective descriptions [11].”
Why we tag: motivations for annotation in mobile and online media (2007, background): “Sen et al. described personal and social influences on tagging behavior in MovieLens [20].”
Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds (2012, background): “The introduction of discussion forums and movie tagging features (Drenner et al. 2006; Sen et al. 2006) gradually changed the tone of the site for a small set of active members, among whom interpersonal friendships emerged.”
How annotation styles influence content and preferences (2013, methodology): “We also used Linguistic Inquiry and Word Count (LIWC) [14] to look for differences in how annotation style included words from LIWC categories we thought would relate to motivations for annotation found in prior work [17, 10].”
Recommender systems: from algorithms to user experience (2012, methodology): “Interestingly, recommender systems have been employed specifically for the task of suggesting tags to users with the goal of helping the tagging folksonomy converge (Sen et al. 2006).”
We know what @you #tag: does the dual role affect hashtag adoption? (2012, methodology): “The predication analysis in our work is in general related to the prediction of user behavior in online communities [33, 18, 17, 23].”
Tagommenders: connecting users to items through tags (2009, unknown): “In previous work, we validated this relationship by finding that certain types of tags help users to find and make decisions about items [29].”
Can social bookmarking improve web search? (2008, background): “Golder and Huberman [9] were two of the earliest researchers to look at the dynamics of tagging, but many others soon followed ([12, 10, 14]).”
"I LOVE THIS SITE!" vs. "It's a little girly": Perceptions of and Initial User Experience with Pinterest (2015, background): “This effect has been observed in other online social interactions, including rating movies [5] and tagging movies [21].”
Mapping the world's photos (2009, background): “... with textual tags, one must take into account that text-tags are the single most useful source of features for estimating hidden location values — a reflection of the fact that current techniques are considerably more effective at exploiting textual data than image data, and that photographers a”