Ranking tweets considering trust and relevance

Srijith Ravikumar, Raju Balakrishnan, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The increasing popularity of Twitter and other microblogs makes improved trustworthiness and relevance assessment of microblogs evermore important. We propose a method of ranking of tweets considering trustworthiness and content based popularity. The analysis of trustworthiness and popularity exploits the implicit relationships between the tweets. We model microblog ecosystem as a three-layer graph consisting of: (i) users (ii) tweets and (iii) web pages. We propose to derive trust and popularity scores of entities in these three layers, and propagate the scores to tweets considering the inter-layer relations. Our preliminary evaluations show improvement in precision and trustworthiness over the baseline methods and acceptable computation timings.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Workshop on Information Integration on the Web, IIWeb'12
DOIs
StatePublished - Aug 20 2012
Event9th International Workshop on Information Integration on the Web, IIWeb'12 - Scottsdale, AZ, United States
Duration: May 20 2012May 20 2012

Publication series

NameACM International Conference Proceeding Series

Other

Other9th International Workshop on Information Integration on the Web, IIWeb'12
CountryUnited States
CityScottsdale, AZ
Period5/20/125/20/12

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Ravikumar, S., Balakrishnan, R., & Kambhampati, S. (2012). Ranking tweets considering trust and relevance. In Proceedings of the 9th International Workshop on Information Integration on the Web, IIWeb'12 (ACM International Conference Proceeding Series). https://doi.org/10.1145/2331801.2331805