People on the Web talk about television. TV users' social activities implicitly connect the concepts referred to by videos, news, comments, and posts. The strength of such connections may change as the perception of users on the Web changes over time. With the goal of leveraging users' social activities to better understand how TV programs are perceived by the TV public and how the users' interests evolve in time, in this work, a framework that allows to manage, explore and analyze the heterogeneous and dynamic data coming from different information sources which play a role in what we call the "second life" of TV content will be exposed.

Original languageEnglish (US)
Pages (from-to)3-5
Number of pages3
JournalUnknown Journal
StatePublished - 2016


  • Second screen applications
  • Social network analysis
  • Social TV

ASJC Scopus subject areas

  • Computer Science(all)


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