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arXiv · 1204.0156

Ranking Tweets Considering Trust and Relevance

Srijith Ravikumar·Raju Balakrishnan·Subbarao Kambhampati
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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.

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Srijith Ravikumar, Raju Balakrishnan, Subbarao Kambhampati. 2012-04-01. Ranking Tweets Considering Trust and Relevance. https://arxiv.org/abs/1204.0156

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