Description: Description: Description: [PHOTO]Paul Resnick

Professor
University of Michigan School of Information
4344 North Quad
105 S. State Street
Ann Arbor, MI 48109
presnick@umich.edu

Description: Description: Description: Z:\www\Star.gifResearch Projects |
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Description: Description: Description: Z:\www\Star.gifInterests and Activities:   professional | personal
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Description: Description: Description: Z:\www\Star.gifBio | Description: Description: Description: Z:\www\Star.gifMain Blog  | Description: Description: Description: Z:\www\Star.gifHealthierTogether Blog 
 

Office hours Fall 2013: Mondays 3-5PM

  Description: Description: Description: Z:\www\RedPinLeft.gif Research Interests and Projects

 

Description: Description: Description: Z:\www\Check.gifBALANCE: Enhancing Diversity in News and Opinion Aggregators

Aggregators such as Digg, Reddit, and Google News rely on ratings and links to select and present subsets of the large quantity of news and opinion items generated each day. If a majority of the raters or linkers share a political viewpoint, minority viewpoints may get little representation in the results, creating an echo chamber for the majority. The goals of this research are to: 1) form alternative measures of diversity for result sets; 2) develop algorithms for selecting result sets that jointly optimize for diversity and popularity; 3) assess the impacts of alternative selection and presentation methods on people’s willingness to use an aggregation service, their exposure to diverse opinions, and the size of their argument repertoires. The results of the project will provide a better understanding of alternative notions of what it means for a set of items to be diverse or balanced, and the range of reactions that different people have to varying levels and presentations of diversity.

Description: Description: Description: Z:\www\Check.gifRumors

This project will develop tools that help people make personal assessments of credibility. Rather than relying on particular sources as authoritative arbiters of ground truth, the goal is to minimize the amount of "social implausibility". That is, the tool will identify assertions that are disbelieved by "similar" people (those who, after careful consideration, someone tended to agree with in the past) or come from sources that someone has tended to disagree with. A text mining system for online media will be developed to extract controversial assertions and the beliefs expressed by users about those assertions. Comparisons of beliefs about common assertions, and retractions or updates to beliefs, will be tracked as part of personalized reputation measures.

 (Joint work with Qiaozhu Mei, Rahul Sami, and Dragomir Radev. Funded by NSF under Grant No. IIS- 0968489.)

Description: Description: Description: Z:\www\Check.gifManipulation-Resistant Recommender Systems

Online recommender systems are widely deployed as tools to guide users towards items they will like. There is a growing concern that recommender systems may be manipulated by people with a vested interest in having certain items recommended (or not recommended). This is exacerbated as it is often easy for a manipulator to create multiple online accounts to execute an attack. The goal of this project is to develop general techniques for the design of manipulation-resistant recommender systems as well as specific solutions for applications in which such a recommender could have a significant impact. (Joint work with Rahul Sami. Funded by NSF under Grant No. IIS-0812042.)

Description: Description: Description: Z:\www\Check.gifSwellness: Social Approaches to Health and Wellness

The Swellness project is investigating the potential for delivering self-managed health and wellness interventions via existing social websites such as Facebook.

Description: Description: Description: Z:\www\RedPinLeft.gifCourses

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SI 701 Doctoral Foundations Seminar

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SI429: e-communities

SI/EECS 182

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SI429: e-communities

SI/EECS 182

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SI529: e-communities

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SI529: e-communities

SI/EECS182

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SI755: Social Computing PhD Seminar

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SI529: e-communities

SI/EECS182

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SI684/884: e-communities

SI631: Content Management Systems (PEP Workshop project course)

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SI502 Networked Computing: Storage, Communication, and Processing (Ctools site only; no public site)

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SI505: Drupal Boot Camp

SI631: Content Management Systems (PEP Workshop project course)

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Recommender Systems

SI575: Community Information Corps Seminar

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SI684/884: e-communities

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SI540: Understanding Networked Computing  (2005 placeout information)

SI544: Statistics

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SI575: Community Information Corps Seminar

SI684/884: e-communities

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SI540: Understanding Networked Computing

SI644: Statistics

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CMU CSCW/Online Communities course (co-taught with Bob Kraut)

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SI684/884: e-communities

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SI540: Understanding Networked Computing (no longer available on-line)

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SI598/698: Dot.Org Incubator (Practical Engagement Workshop)

SI575: Community Information Corps Seminar

SI684: e-communities

 

Description: Description: Description: Z:\www\Check.gifFall 2001:

SI598/698: Dot.Org Incubator (Practical Engagement Workshop)
SI540: Understanding Networked Computing (no longer available on-line)

SI575: Community Information Corps Seminar

 

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SI575: Community Information Corps Seminar

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SI540: Understanding Networked Computing (no longer available on-line)

SI575: Community Information Corps Seminar

Description: Description: Description: Z:\www\RedPinLeft.gifPersonal Interests and Activities

Description: Description: Description: Z:\www\Check.gifMusic

I play the fiddle and guitar, and sing, mostly country and folk styles.

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Tennis (USTA 4.0, though they mistakenly have me ranked at 4.5). Kayaking, biking, and running.

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·         Kraut, R. E., P. Resnick, with S. Kiesler, Y. Ren, Y. Chen, M. Burke, N. Kittur, J. Riedl and J. Konstan (2012). Building Successful Online Communities: Evidence-Based Social Design. Cambridge, MA, The MIT Press. (Website for the book; Amazon page)

 

                                                                                                            

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This listing is no longer kept up to date. Google Scholar does a better job, though not perfect. See my page there.

·         Ockenfels, Axel, and Paul Resnick. “Negotiating Reputations”. In Handbook of Conflict Resolution, edited by Gary Bolton and Rachel Croson. Forthcoming. Oxford University Press.

·         Garrett, R. Kelly, and Paul Resnick. "Resisting Political Fragmentation on the Internet." Daedalus 140(4): 108-120.

·         Zhou, Daniel Xiaodan, Resnick, Paul, and Qiaozhu Mei. “Classifying the Political Leaning of News Articles and Users from User Votes.” Proceedings of ICWSM 2011 Conference on Weblogs and Social Media. Barcelona. p. 417-424.

·         Munson, Sean A, and Paul Resnick. “The Prevalence of Political Discourse in Non-Political Blogs”. Proceedings of ICWSM 2011 Conference on Weblogs and Social Media. Barcelona. p. 233-240.

·         Munson, Sean A, Rosengren, Emily, and Paul Resnick. “Thanks and Tweets: Comparing Two Public Displays”. Proceedings of CSCW 2011. ACM. New York, NY.

·         Newman, Mark W, Lauterbach, Debra, Munson, Sean A, Resnick, Paul, and Margaret E Morris. “'It's not that I don't have problems, I'm just not putting them on Facebook': Challenges and Opportunities in Using Online Social Networks for Health”. Proceedings of CSCW 2011. ACM, New York, NY.

·         Lampe, Cliff, Resnick, Paul, Forte, Andrea, Yardi, Sarita , Rotman, Dana, Marshall, Todd , and Wayne Lutters, "Educational Priorities for Technology-Mediated Social Participation," IEEE Computer, pp. 60-67, November, 2010 http://www.computer.org/portal/web/csdl/doi/10.1109/MC.2010.316

·         Jian, Lian, MacKie-Mason, Jeffrey K., and Paul Resnick (2010) "I Scratched Yours: The Prevalence of Reciprocation in Feedback Provision on eBay," The B.E. Journal of Economic Analysis & Policy. 10(1) (Contributions): Article 92.

·         Resnick, Paul, Janney, Adrienne, Buis, Lorriane R, and Caroline R Richardson, “Adding an online community to an Internet-mediated walking program. Part 2: Strategies for encouraging community participation”. Journal of Medical Internet Research. 2010. 12(4):e72.

·         Richardson, Caroline, Buis, Lorraine, Janney, Adrienne, Goodrich, David, Sen, Ananda, Hess, Michael, Mehair, Kathleen, Fortlage, Laurie, Resnick, Paul, Zikmund-Fisher, Brian, Strecher, Victor, and John Piette. “An online community improves adherence in an Internet-mediated walking program. Part 1: Results of a randomized controlled trial.” Journal of Medical Internet Research. 2010. 12(4): e71.

·         Munson, Sean, and Paul Resnick. “Presenting Diverse Political Opinions: How and How Much”. Proceedings of CHI 2010. ACM, New York, NY. p. 1457-1466.

·         Munson, Sean, Lauterbach, Debra, Newman, Mark, and Paul Resnick. “Happier Together: Integrating a Wellness Application Into a Social Network Site”. in Proceedings of Persuasive '10.

·         Zhou, Daniel and Resnick, Paul. 2009. Assessment of conversation co-mentions as a resource for software module recommendation. Proceedings of RecSys '09. ACM, New York, NY, 133-140.

·         Buis LR, Poulton TA, Holleman RG, Sen A, Resnick PJ, Goodrich DE, Palma-Davis LV, Richardson CR. “Evaluating Active U: An internet-mediated physical activity programBMC Public Health 2009, 9:331 (10 September 2009).

Description: Description: Description: Z:\www\RedPinLeft.gifPICS Technical Specification Documents

Evans, Christopher, Feather, Clive  D. W., Hopmann, Alex, Presler-Marshall, Martin and Resnick, Paul, PICSRules 1.1 W3C, Dec. 1997.

Miller, Jim, Paul Resnick and David Singer (1996). “Rating Services and Rating Systems (and Their Machine-Readable Descriptions),” The World Wide Web Journal 1(4): 23-43. Available on-line at http://www.w3.org/pub/WWW/PICS/services.html

Krauskopf, Tim, Jim Miller, Paul Resnick and Win Treese (1996) “Label Syntax and Communication Protocols,” The World Wide Web Journal 1(4): 45-69. Available on-line at http://www.w3.org/pub/WWW/PICS/labels.html
 

 Description: Description: Description: Z:\www\RedPinLeft.gif Bio

Paul Resnick is a Professor at the University of Michigan School of Information. He previously worked as a researcher at AT&T Labs and AT&T Bell Labs, and as an Assistant Professor at the MIT Sloan School of Management. He received the master's and Ph.D. degrees in Electrical Engineering and Computer Science from MIT, and a bachelor's degree in mathematics from the University of Michigan.

Professor Resnick's research focuses on SocioTechnical Capital, productive social relations that are enabled by the ongoing use of information and communication technology. His current projects include making recommender systems resistant to manipulation through rater reputations, nudging people toward politically balanced news consumption and health behavior change, and crowdsourcing rumor tracking and fact-correction on the Internet.

Resnick was a pioneer in the field of recommender systems (sometimes called collaborative filtering or social filtering). Recommender systems guide people to interesting materials based on recommendations from other people.  The GroupLens system he helped develop was awarded the 2010 ACM Software Systems Award. His articles have appeared in Scientific American, Wired, Communications of the ACM, The American Economic Review, Management Science, and many other venues.  His 2012 MIT Press book (co-authored with Robert Kraut), was titled “Building Successful Online Communities: Evidence-based Social Design”.