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Detecting, Modeling, and Predicting User Temporal Intention in Social Media
2012
Bulletin of IEEE Technical Committee on Digital Libraries
The content of social media has grown exponentially in the recent years and its role has evolved from narrating life events to actually shaping them. Unfortunately, content posted and shared in social networks is vulnerable and prone to loss or change, rendering the context associated with it (a tweet, post, status, or others) meaningless. The user sharing the resource has an implicit temporal intent: either the state of the resource at the time of sharing, or the current state of the resource
dblp:journals/tcdl/SalahEldeen12
fatcat:7m6ipsn2zbe3lghddt44n4sduu