Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Prominence-interpretation theory: explaining how people assess credibility online
CHI '03 Extended Abstracts on Human Factors in Computing Systems
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Proceedings of the fourth ACM international conference on Web search and data mining
Truthy: mapping the spread of astroturf in microblog streams
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Proceedings of the 20th international conference on World wide web
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Proceedings of the First Workshop on Social Media Analytics
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhancing credibility judgment of web search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Augmenting web pages and search results to support credibility assessment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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CHI '11 Extended Abstracts on Human Factors in Computing Systems
Information search and retrieval in microblogs
Journal of the American Society for Information Science and Technology
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering
Proceedings of the 21st ACM international conference on Information and knowledge management
Microblog credibility perceptions: comparing the USA and China
Proceedings of the 2013 conference on Computer supported cooperative work
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Proceedings of the 2013 conference on Computer supported cooperative work
Trust in online news: comparing social media and official media use by chinese citizens
Proceedings of the 2013 conference on Computer supported cooperative work
The new war correspondents: the rise of civic media curation in urban warfare
Proceedings of the 2013 conference on Computer supported cooperative work
Personal User or Organizational User? Behavior on Microblog can Tell
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Web credibility: features exploration and credibility prediction
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy
Proceedings of the 22nd international conference on World Wide Web companion
Are Some Tweets More Interesting Than Others? #HardQuestion
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data
Social Science Computer Review
Time, place, technology: Twitter as an information source in the Wisconsin labor protests
Computers in Human Behavior
Content or context: Which matters more in information processing on microblogging sites
Computers in Human Behavior
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Twitter is now used to distribute substantive content such as breaking news, increasing the importance of assessing the credibility of tweets. As users increasingly access tweets through search, they have less information on which to base credibility judgments as compared to consuming content from direct social network connections. We present survey results regarding users' perceptions of tweet credibility. We find a disparity between features users consider relevant to credibility assessment and those currently revealed by search engines. We then conducted two experiments in which we systematically manipulated several features of tweets to assess their impact on credibility ratings. We show that users are poor judges of truthfulness based on content alone, and instead are influenced by heuristics such as user name when making credibility assessments. Based on these findings, we discuss strategies tweet authors can use to enhance their credibility with readers (and strategies astute readers should be aware of!). We propose design improvements for displaying social search results so as to better convey credibility.