2012/04/01 by Srijith Ravikumar, Ravikumar, Srijith, Raju Balakrishnan +3
Computer Science · Psychology · Social Sciences · #Access Control and Trust #Baseline (sea) #Computer science #Computer security #Data science #Exploit #FOS: Computer and information sciences #Graph #Information Retrieval (cs.IR) #Information retrieval #Internet privacy #Microblogging #Misinformation and Its Impacts #Political science #Popularity #Psychology #Ranking (information retrieval) #Relevance (law) #Social and Information Networks (cs.SI) #Social media #Spam and Phishing Detection #Theoretical computer science #Trustworthiness #World Wide Web #cs.IR #cs.SI
paper · pdf · doi:10.48550/arxiv.1204.0156
four pages short paper
arxiv created 2012/04/01 · openalex publication_date 2012/04/01 · arxiv updated 2012/04/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.