Finding Credible Information Sources in Social Networks Based on Content and Social Structure
- 1 October 2011
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A task of primary importance for social network users is to decide whose updates to subscribe to in order to maximize the relevance, credibility, and quality of the information received. To address this problem, we conducted an experiment designed to measure the extent to which different factors in online social networks affect both explicit and implicit judgments of credibility. The results of the study indicate that both the topical content of information sources and social network structure affect source credibility. Based on these results, we designed a novel method of automatically identifying and ranking social network users according to their relevance and expertise for a given topic. We performed empirical studies to compare a variety of alternative ranking algorithms and a proprietary service provided by a commercial website specifically designed for the same purpose. Our findings show a great potential for automatically identifying and ranking credible users for any given topic.Keywords
This publication has 9 references indexed in Scilit:
- EddiPublished by Association for Computing Machinery (ACM) ,2010
- Measuring User Influence in Twitter: The Million Follower FallacyProceedings of the International AAAI Conference on Web and Social Media, 2010
- Short and tweetPublished by Association for Computing Machinery (ACM) ,2010
- TwitterRankPublished by Association for Computing Machinery (ACM) ,2010
- Learning to classify short and sparse text & web with hidden topics from large-scale data collectionsPublished by Association for Computing Machinery (ACM) ,2008
- Credibility: A multidisciplinary frameworkAnnual Review of Information Science and Technology, 2007
- The Cambridge Handbook of Expertise and Expert PerformancePublished by Cambridge University Press (CUP) ,2006
- 10.1162/jmlr.2003.3.4-5.993Applied Physics Letters, 2000
- Source credibility in social judgment: Bias, expertise, and the judge's point of view.Journal of Personality and Social Psychology, 1979