A picture says more than a thousand words: photographs as trust builders in e-commerce websites
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Shiny happy people building trust?: photos on e-commerce websites and consumer trust
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Do people trust their eyes more than ears?: media bias in detecting cues of expertise
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Investigating interactions of trust and interest similarity
Decision Support Systems
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Journal of the American Society for Information Science and Technology
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perceptions of trustworthiness online: the role of visual and textual information
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Human-machine design considerations in advanced machine-learning systems
IBM Journal of Research and Development
All the news that's fit to read: a study of social annotations for news reading
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Users increasingly rely on social Q&A sites to answer questions that are important to their everyday lives. Social Q&A differs significantly from library-based reference services in that there is no guarantee that the individuals answering questions have relevant expertise or are relying on authoritative sources. This raises an important research question: what factors influence users' trust in social Q&A? This paper seeks to determine the role that text and photo cues of expertise have on users' trust in answers in social Q&A. The results of an experiment with 241 subjects indicate that expertise cues in text lead to significantly higher trust among both experts and non-experts. However, expertise cues in photos increase trust among non-experts but do not increase trust among experts. These results indicate that both the expertise of the user and the expertise cues provided in the answer affect user trust in social Q&A.