Ranking Tweets Considering Trust and Relevance
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Ranking Tweets Considering Trust and Relevance Srijith Ravikumar , Raju Balakrishnan, Subbarao Kambhampati [email protected] [email protected] [email protected] PowerPoint PPT Presentation


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Ranking Tweets Considering Trust and Relevance Srijith Ravikumar , Raju Balakrishnan, Subbarao Kambhampati [email protected] [email protected] [email protected] Future Work. Spread of false information reduces the usability of Microblogs . We Model the Tweet eco-system as a tri-layer graph.

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Ranking Tweets Considering Trust and Relevance Srijith Ravikumar , Raju Balakrishnan, Subbarao Kambhampati [email protected] [email protected] [email protected]

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Ranking Tweets Considering Trust and Relevance

SrijithRavikumar, Raju Balakrishnan, Subbarao Kambhampati

[email protected]@asu.edu [email protected]

FutureWork

Spread of false information reduces the usability of Microblogs.

We Model the Tweet eco-system as a tri-layer graph.

CompletedWork

Future Work

Top-k Relevance Comparison

  • How do we rank tweets considering trustworthiness and relevance?

  • Surface web uses hyperlink analysis between the pages.

  • Twitter consider retweets as “links” between the tweets for ranking.

Build Implicit links between the tweets containing the same fact, and analyze the link-structure.

Tweeted URL

Tweeted By

Top-k Trust Comparison

Retweets are sparse, and often planted or passively retweeted.

  • Agreement-edge weights between the tweets are computed using the Soft TF-IDF with Jaro-Winkler similarity.

  • Ranking-score is equal to sum of the edge weights.

Followers

Hyperlinks


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