Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 2009 International Workshop on Location Based Social Networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
@spam: the underground on 140 characters or less
Proceedings of the 17th ACM conference on Computer and communications security
An empirical study on learning to rank of tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Truthy: mapping the spread of astroturf in microblog streams
Proceedings of the 20th international conference companion on World wide web
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Information control and terrorism: Tracking the Mumbai terrorist attack through twitter
Information Systems Frontiers
Comparing twitter and traditional media using topic models
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Phi.sh/$oCiaL: the phishing landscape through short URLs
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Identifying and characterizing user communities on Twitter during crisis events
Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
uTrack: track yourself! monitoring information on online social media
Proceedings of the 22nd international conference on World Wide Web companion
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy
Proceedings of the 22nd international conference on World Wide Web companion
MultiOSN: realtime monitoring of real world events on multiple online social media
Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop
Box office prediction based on microblog
Expert Systems with Applications: An International Journal
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Twitter has evolved from being a conversation or opinion sharing medium among friends into a platform to share and disseminate information about current events. Events in the real world create a corresponding spur of posts (tweets) on Twitter. Not all content posted on Twitter is trustworthy or useful in providing information about the event. In this paper, we analyzed the credibility of information in tweets corresponding to fourteen high impact news events of 2011 around the globe. From the data we analyzed, on average 30% of total tweets posted about an event contained situational information about the event while 14% was spam. Only 17% of the total tweets posted about the event contained situational awareness information that was credible. Using regression analysis, we identified the important content and sourced based features, which can predict the credibility of information in a tweet. Prominent content based features were number of unique characters, swear words, pronouns, and emoticons in a tweet, and user based features like the number of followers and length of username. We adopted a supervised machine learning and relevance feedback approach using the above features, to rank tweets according to their credibility score. The performance of our ranking algorithm significantly enhanced when we applied re-ranking strategy. Results show that extraction of credible information from Twitter can be automated with high confidence.