Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Why pay?: exploring how financial incentives are used for question & answer
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Re-examining price as a predictor of answer quality in an online q&a site
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Journal of Machine Learning Research
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Evaluating and predicting answer quality in community QA
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Supporting synchronous social q&a throughout the question lifecycle
Proceedings of the 20th international conference on World wide web
Asking questions of targeted strangers on social networks
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Tie strength in question & answer on social network sites
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Journal of the American Society for Information Science and Technology
Sighted eye for the blind guy: providing personalized responses to visual questions
ACM SIGACCESS Accessibility and Computing
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The emergence of social media creates a unique opportunity for developing a new class of crowd-powered information collection systems. Such systems actively identify potential users based on their public social media posts and solicit them directly for information. While studies have shown that users will respond to solicitations in a few domains, there is little analysis of the quality of information received. Here we explore the quality of information solicited from Twitter users in the domain of product reviews, specifically reviews for a popular tablet computer and L.A.-based food trucks. Our results show that the majority of responses to our questions (70%) contained relevant information and often provided additional details (37%) beyond the topic of the question. We compare the solicited Twitter reviews to other user-generated reviews from Amazon and Yelp, and found that the Twitter answers provided similar information when controlling for the questions asked. Our results also reveal limitations of this new information collection method, including its suitability in certain domains and potential technical barriers to its implementation. Our work provides strong evidence for the potential of this new class of information collection systems and design implications for their future use.