Reputation, Trust and Authority Workshop at Stanford University

We are very excited to officially announce our second workshop, to be held at the Stanford University Institute for Research in the Social Sciences. The event is co-sponsored by the Purdue University Discovery Park CyberCenter (PI: Sorin Adam Matei, CoPIs: Elisa Bertino, Michael Zhu, Chuanhai Liu), MediaX at Stanford University (Martha Russell), and Social Media Research Foundation (Marc Smith). Below is our tentative schedule.

Workshop Live Twitter Feed….

Agenda

The workshop, funded by an NSF grant, continues the work started at Purdue University in April, with the goal to set up a forward looking agenda for understanding how knowledge and trust, online collaboration, roles, and credibility emerge in social media. A central aim of the workshop is to create a community of scholars interested in exploring issues such as:

  1. How do author feedback and incentive structures influence participation and value creation in reputable social media content creation?

  2. How does curation infrastructure influence the credibility of content and the perception of trustworthiness?

  3. What types of statistical strategies or procedures need to be used to better understand how social media roles emerge, function, generate valuable content, accrue trust and inspire credibility?

  4. What new approaches need to be employed to make such strategies successful in the context of very large datasets, especially those which include a time dimension?

  5. What emerging strategies can most successfully handle mixed data, which includes linkages between cases/nodes and node attributes?

  6. How can graph analysis be combined with traditional statistical approaches to handle such complex data?

  7. What are the most profitable, forward looking, high-risk but high-payoff procedures in these areas?

  8. What computational tools and algorithms should be used or created for handling these types of analyses and datasets?

  9. What advances in computer science are most likely to foster a revolution in the statistical analysis of large social media datasets, especially when trying to explain the emergence of new functional roles, detecting credibility or trust online?

  10. What kinds of tools, especially net-centric tools, should be used for making massive computational resources available to the average social science researcher or the avid content author to perform new types of statistical analyses demanded by large social media datasets?

 

The workshop will explore these questions through plenary presentations by leading scholars and practitioners, such as Ed Chi (Google), Lada Adamic (Facebook), Larry Sanger (Infobitt), Marc Smith (NodeXL), Elisa Bertino, Chuanhai Liu, Michael Zhu, Martha Russell.  Contributions to the workshop will be gathered into an edited book, to be published by Springer Publishing House in 2014 in the new Computational Social Science series. A round-table session will summarize the collective reflection of the participants on the issues discussed by the speakers or addressed by the core research questions of the workshop. The results of the discussion will be translated into a research agenda with specific aims and forward looking strategies, that can facilitate the work of the participants and future collaborative research and grant proposals.

If you agree to join us, we would need a brief one page position paper by October 1st, which can summarize your thoughts or some research or practical applications that you were involved with that address the topics above. The paper is meant to offer the other participants springboards for mutual engagement and conversation. It could also be used as a starting point for a possible chapter for our book.

Thu Oct 17

 

18:00 – 20:00 Reception – Chef Chu - Click for Directions from Hotel Aria (workshop HQ)

Fri Oct 18

The activities today will be held at the Institute for Research in the Social Sciences (see map):

SCHEDULE

Presenters

Participants

  • Jana Diesner (UIUC) (bio) (position paper)
  • Chuanhai Liu (Purdue) (bio)
  • Wutao Wei (Purdue) (bio)
  • Jeremy Foote (Purdue) (bio) (position paper)
  • Jon Cohen(Pew Research) (bio)
  • Toshi Fujimori (Konica Minolta)
  • Katy Pearce (UW Communications) (bio) (position paper)
  • James Caverlee (Texas A&M) (bio) (position paper)
  • Cy Wei
  • Peter Baker (Purdue)
  • Chaoyin Chi (Industrial Technology Research Institute)
  • Michael Bernstein (Stanford) (bio) (position paper)
  • Adrian Albert (Stanford) (position paper)
  • Phil Gomes (Edelman) (position paper)
  • Greg Dibb (Nissan)
  • Martin Quiroga (Stanford)
  • Karina Alexanyan (Berkman Center, SMRF)
  • Tim McCormick (bio)

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