Paul Resnick

Professor
University of Michigan School of Information
4377 North Quad
105 S. State Street
Ann Arbor, MI 48109
presnick@umich.edu

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Description: Description: Description: Z:\www\Star.gifInterests and Activities:   professional | personal
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Office hours Winter 2015: Thursdays 2-4PM

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

 (Funded by NSF under Grant No. IIS- 0916099. Former Ph.D. students and postdoc: Sean Munson, Xiaodan Daniel Zhou, Sidharth Chhabra, Souneil Park)

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.gifRumorLens

RumorLens is a suite of interactive tools that are designed to help journalists identify new rumors on Twitter and assess the audiences that rumor and correction tweets have reached. The tools make efficient use of human labor to assess whether a rumor’s content is interesting enough to warrant further exploration, to label tweets as spreading, correcting, or unrelated to the rumor, and to analyze the rumor visually. Behind the scenes, automated learning and computation amplify the effectiveness of that labor, making it feasible to engage journalists and the broader public to run a continuous rumor-monitoring service.

 (Joint work with Qiaozhu Mei, Rahul Sami, and Dragomir Radev. Funded by NSF under Grant No. IIS- 0968489 with additional support from Google. Ph.D. Students Sam Carton, Cheng Li, Yue Wang, and Zhe Zhao )

Description: Description: Description: Z:\www\Check.gifCommit To Steps: Social Approaches to Health and Wellness

The Commit To Steps project is investigating techniques for generating social support and social accountability, to enhance commitment to health behavior change, especially increased physical activity.

 (Joint work with Sean Munson, Caroline Richardson, and Erin Krupka. Funded by the Robert Wood Johnson Foundation. Ph.D. student Chanda Phelan.)

Description: Description: Description: Z:\www\Check.gifMTogether

Most electronic behavior traces available to social scientists offer a site-centric view of behavior. We argue that in order to understand patterns of interpersonal communication and media consumption, there is a need for a more person-centric view. The ideal research platform would capture reading as well as writing and friending behavior, behavior across multiple sites, and demographic and psychographic variables. It would also offer opportunities for researchers to make interventions that make changes and additions to the information presented to people in social media interfaces. Any attempt to create such an ideal platform will have to make compromises because of engineering and privacy constraints. We describe one attempt to navigate those tensions: the MTogether project will recruit a panel of participants who will install a browser extension and mobile app that enable limited data collection and interventions.

 (Joint work with Eytan Adar and Cliff Lampe. Funded by Google, with additional support from Facebook and from NIH 1R01AA023974-01.

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UMSI 106 Programs, Information and People

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UMSI 106 Programs, Information and People

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UMSI 106 Programs, Information and People

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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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Kayaking, biking, and running. Occasionally tennis. Formerly soccer and ultimate Frisbee.

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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”.