Paper Info
Title
Identifying content for planned events across social media sites
Abstract
User-contributed Web data contains rich and diverse information about a variety of events in the physical world, such as shows, festivals, conferences and more. This information ranges from known event features (e.g., title, time, location) posted on event aggregation platforms (e.g., Last.fm events, EventBrite, Facebook events) to discussions and reactions related to events shared on different social media sites (e.g., Twitter, YouTube, Flickr). In this paper, we focus on the challenge of automatically identifying user-contributed content for events that are planned and, therefore, known in advance, across different social media sites. We mine event aggregation platforms to extract event features, which are often noisy or missing. We use these features to develop query formulation strategies for retrieving content associated with an event on different social media sites. Further, we explore ways in which event content identified on one social media site can be used to retrieve additional relevant event content on other social media sites. We apply our strategies to a large set of user-contributed events, and analyze their effectiveness in retrieving relevant event content from Twitter, YouTube, and Flickr.
Year
DOI
Venue
2012
10.1145/2124295.2124360
WSDM
Keywords
Field
DocType
event aggregation platform,social media site,different social media site,relevant event content,known event feature,event feature,fm event,additional relevant event content,planned event,event content,facebook event,identifying content,social media,document retrieval
World Wide Web,Social media,Information retrieval,Social media optimization,Computer science,Query formulation
Conference
Citations 
PageRank 
References 
44
1.81
20
Authors
4
Name
Order
Citations
PageRank
Hila Becker171730.57
Dan Iter2675.35
Mor Naaman34783318.39
L. Gravano45668855.47