Jalal Mahmud
Michelle X. Zhou
Jeffrey Nichols
ABSTRACT
We present an intelligent, crowd-powered information collection system that automatically identifies and asks targeted strangers on Twitter for desired information (e.g., current wait time at a nightclub). Our work includes three parts. First, we identify a set of features that characterize one's willingness and readiness to respond based on their exhibited social behavior, including the content of their tweets and social interaction patterns. Second, we use the identified features to build a statistical model that predicts one's likelihood to respond to information solicitations. Third, we develop a recommendation algorithm that selects a set of targeted strangers using the probabilities computed by our statistical model with the goal to maximize the over-all response rate. Our experiments, including several in the real world, demonstrate the effectiveness of our work.
- WarriorForum - Internet Marketing Forums, http://www.warriorforum.com/Google Scholar
- Slickdeals, http://slickdeals.net/forums/forumdisplay.php?f=19Google Scholar
- Quora, http://www.quora.com/Google Scholar
- Yahoo Answers, http://www.answers.yahoo.comGoogle Scholar
- Facebook Questions, http://www.facebook.comGoogle Scholar
- WEKA. http://www.cs.waikato.ac.nz/ml/weka/Google Scholar
- Crowdflower. http://crowdflower.com/Google Scholar
- Avrahami, D. and Hudson, Scott E. 2006. Responsiveness in Instant Messaging: Predictive Models Supporting Inter-Personal Communication, In Proc. CHI 2006. Google ScholarDigital Library
- Begole, J., Tang, J. C., Smith, R. E., and Yankelovich, N. 2002. Work rhythms: Analyzing visualizations of awareness histories of distributed groups. In Proc. CSCW'02. Google ScholarDigital Library
- Bouguessa, M. Dumoulin, B., and Wang, S. 2008. Identifying authoritative actions in question-answering forums: the case of Yahoo! answers: In Proc. KDD 2008. Google ScholarDigital Library
- Boyd, D. Golder, S., Lotan, G. 2010. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. In Proc. HICSS 2010. Google ScholarDigital Library
- Chakrabarti, D., Punera, K. 2011, Event Summarization using Tweets, In Proc. ICWSM 2011.Google Scholar
- Cheng, Z., Caverlee, J., and Lee, K. 2010. You Are Where You Tweet: A Content-Based Approach to Geo-locating Twitter Users. In Proc. CIKM 2010. Google ScholarDigital Library
- Castillo, C., Mendoza, M., and Poblete, B. 2011, Information Credibility on Twitter. In Proc. WWW 2011. Google ScholarDigital Library
- Costa, P. T., Jr. & McCrae, R. R. 1992. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
- Fast, Lisa A.; Funder, David C. 2008., Personality as manifest in word use: Correlations with self-report, acquaintance report, and behavior. Journal of Personality and Social Psychology, Vol 94(2), 2008.Google ScholarCross Ref
- Gazan, R. (2011). Social Q&A. J. of the Amer. Soc. for Info Science & Technology, 62(12), 2301--2312. Google ScholarDigital Library
- Gill, A. J., Nowson, S., Oberlander, J. 2009. What Are They Blogging About? Personality, Topic and Motivation in Blogs, In Proc. ICWSM 2009.Google Scholar
- Golbeck, J. Robles, C., Edmondson, M., Turner, K. 2011. Predicting Personality from Twitter. In Proc. IEEE SocialCom.Google ScholarCross Ref
- Guo, J., Xu, S., Bao, S., and Yu, Y. 2008. Tapping on the potential of Q&A community by recommending answer providers. In Proc. CIKM 2008. Google ScholarDigital Library
- Hirsh, J. B. and Peterson, J. B., 2009, Personality and language use in self-narratives Journal of Research in Personality.Google Scholar
- Lee, K., Eoff, B. D. and Caverlee, J.2011. Seven months with the devils: A long term study of content polluters on Twitter. In Proc. ICWSM 2011.Google Scholar
- Liu, X., Croft, W. B., and Koll, M. 2005. Finding experts in community-based question-answering services, In Proc. CIKM'05, 315--316. Google ScholarDigital Library
- Jurczyk, P., and Agichtein, E., 2007, Discovering authorities in question-answering communities by using link analysis. In Proc. CIKM 2007. Google ScholarDigital Library
- Mairesse, F., Walker, M. 2006. Words Mark the Nerds: Computational Models of Personality Recognition through Language, In Proc. of CogSci 2006.Google Scholar
- Morris, M., Teevan, J., and Panovich, K. 2010. What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior. In Proc. CHI, 2010. Google ScholarDigital Library
- Nichols, Jeffrey, Kang, Jeon-Hyung, 2012, Asking Questions of Targeted Strangers on Social Networks, In Proc. CSCW2012. Google ScholarDigital Library
- Nichols, J., Mahmud, J., Drews, C., 2012, Summarizing Sporting Events from Twitter., In Proc. IUI2012. Google ScholarDigital Library
- Norman, W. T. 1963. Toward an adequate taxonomy of personality attributes: replicated factor structure in peer nomination personality rating. Journal of Abnormal and social Psychology, 66:574--583.Google ScholarCross Ref
- O'Brien, T. and DeLongis, A. The interactional context of problem-, emotion-, and relationship-focused coping: The role of the big five personality factors. Journal of personality, 64(4):775--813, 1996.Google Scholar
- Pal, A., Farzan, R., Konstan, Joseph A. and Kraut, Robert E., 2011, Early Detection of Potential Experts in Question Answering Communities, In Proc. UMAP 2011. Google ScholarDigital Library
- Paul, S. A., Hong, L., and Chi, E. H., 2011. "Is Twitter a Good Place for Asking Questions? A Characterization Study", In Proc. ICWSM'11 Posters.Google Scholar
- Pennacchiotti, M., Popescu, A. M. 2011. A Machine Learning Approach to Twitter User Classification, In Proc. ICWSM 2011.Google Scholar
- Pennebaker, J. W., Francis, M. E., Booth, R. J., 2001, Linguistic Inquiry and Word Count. Erlbaum Publishers, Mahwah, NJ.Google Scholar
- Rao, D., Yarowsky, D., Shreevats, A., Gupta, M. 2010, Classifying Latent User Attributes in Twitter, In Proc. of SMUC'10. Google ScholarDigital Library
- Sakaki, T., Okazaki, M., Matsuo, Y. 2010, Earthquake shakes twitter users: real-time event detection by social sensors, In Proc. of WWW 2010. Google ScholarDigital Library
- Tausczik, Yla R. and Pennebaker, James W., 2010. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods, In. Journal of Language and Social Psychology 29(1) 24--54Google ScholarCross Ref
- Teevan, J., Morris, M., and Panovich, K. 2011. Factors Affecting Response Quantity, Quality, and Speed for Questions Asked via Social Network Status Messages. In Proc. ICWSM 2011.Google Scholar
- Yarkoni, Tal. 2010. Personality in 100,000 words: A largescale analysis of personality and word usage among bloggers. Journal of Research in Personality.Google ScholarCross Ref
- Zhang, J., Ackerman, M. S., and Adamic, L. 2007. Expertise networks in online communities: structure and algorithms. In Proc. WWW, 2007. Google ScholarDigital Library
- Zhou, Y., Cong, Z., Cui, B., Jensen, C. S., and Yao, J. Routing Questions to the Right Users in Online Communities. In Proc. ICDE 2009. Google ScholarDigital Library
Index Terms
- Recommending targeted strangers from whom to solicit information on social media
Recommendations
Uses and gratifications of social networking sites for bridging and bonding social capital
Applying uses and gratifications theory (UGT) and social capital theory, our study examined users of four social networking sites (SNSs) (Facebook, Twitter, Instagram, and Snapchat), and their influence on online bridging and bonding social capital. ...
Recommending branded products from social media
RecSys '13: Proceedings of the 7th ACM conference on Recommender systemsE-commerce companies are increasingly encouraging their users to connect to social media venues such as Facebook and Pinterest. The main strategic goal of such social connections is to boost user interaction and adoption on social media. However only a ...
Why Do People Choose Different Social Media Platforms? Linking Use Motives With Social Media Affordances and Personalities
Drawing on uses and gratifications (U&G) theory, the current research investigates how social media users exploit different media affordances to satisfy their motives and how such motives are shaped by their personalities. A cross-sectional survey among ...
Comments