Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Why we search: visualizing and predicting user behavior
Proceedings of the 16th international conference on World Wide Web
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
An epistemic dynamic model for tagging systems
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Analysis of tag within online social networks
Proceedings of the ACM 2009 international conference on Supporting group work
How and why people Twitter: the role that micro-blogging plays in informal communication at work
Proceedings of the ACM 2009 international conference on Supporting group work
Individual and social behavior in tagging systems
Proceedings of the 20th ACM conference on Hypertext and hypermedia
A statistical comparison of tag and query logs
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Perspectives on social tagging
Journal of the American Society for Information Science and Technology
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Journal of the American Society for Information Science and Technology
Tweetflows: flexible workflows with twitter
Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems
Incorporating query expansion and quality indicators in searching microblog posts
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Semantic enrichment of twitter posts for user profile construction on the social web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Learning semantic relationships between entities in twitter
ICWE'11 Proceedings of the 11th international conference on Web engineering
Interweaving Trend and User Modeling for Personalized News Recommendation
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Leveraging the semantics of tweets for adaptive faceted search on twitter
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Adding semantics to microblog posts
Proceedings of the fifth ACM international conference on Web search and data mining
Mining the interests of Chinese microbloggers via keyword extraction
Frontiers of Computer Science in China
Glitter: a mixed-methods study of twitter use during glee broadcasts
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Rumor has it: identifying misinformation in microblogs
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Dynamical classes of collective attention in twitter
Proceedings of the 21st international conference on World Wide Web
We know what @you #tag: does the dual role affect hashtag adoption?
Proceedings of the 21st international conference on World Wide Web
Comparing tweets and tags for URLs
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Conversation retrieval for microblogging sites
Information Retrieval
Trending Twitter topics in English: An international comparison
Journal of the American Society for Information Science and Technology
Tagging users based on Twitter lists
International Journal of Web Engineering and Technology
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Self-monitoring in social networks
International Journal of Intelligent Information and Database Systems
On recommending hashtags in twitter networks
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
A survey of recommender systems in twitter
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Is news sharing on Twitter ideologically biased?
Proceedings of the 2013 conference on Computer supported cooperative work
Factors influencing the response rate in social question and answering behavior
Proceedings of the 2013 conference on Computer supported cooperative work
On the diffusion of messages in on-line social networks
Performance Evaluation
Microblogging in the Enterprise: A Few Comments are in Order
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Tweets Beget Propinquity: Detecting Highly Interactive Communities on Twitter Using Tweeting Links
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Meaning as collective use: predicting semantic hashtag categories on twitter
Proceedings of the 22nd international conference on World Wide Web companion
Proceedings of the first ACM conference on Online social networks
Analyzing temporal dynamics in Twitter profiles for personalized recommendations in the social web
Proceedings of the 3rd International Web Science Conference
Hybrid pseudo-relevance feedback for microblog retrieval
Journal of Information Science
Hi-index | 0.00 |
Users on Twitter, a microblogging service, started the phenomenon of adding tags to their messages sometime around February 2008. These tags are distinct from those in other Web 2.0 systems because users are less likely to index messages for later retrieval. We compare tagging patterns in Twitter with those in Delicious to show that tagging behavior in Twitter is different because of its conversational, rather than organizational nature. We use a mixed method of statistical analysis and an interpretive approach to study the phenomenon. We find that tagging in Twitter is more about filtering and directing content so that it appears in certain streams. The most illustrative example of how tagging in Twitter differs is the phenomenon of the Twitter micro-meme: emergent topics for which a tag is created, used widely for a few days, then disappears. We describe the micro-meme phenomenon and discuss the importance of this new tagging practice for the larger real-time search context.