Social sciences - Microsoft Research

Video

Why Social Computing Is So Hard: The Social-Technical Gap Between Technically Working and Socially Workable

August 10, 2010 | Mark Ackerman

Over the last 20 years, Computer-Supported Cooperative Work (CSCW) has identified a base set of findings. These findings are taken almost as assumptions within the field. In summary, they argue that human activity is highly…

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Publication

Design’s processional character

Laurel Swan, Diana Tanase, Alex Taylor

DIS ’10: Proceedings of the 8th ACM Conference on Designing Interactive Systems | August 2010

ISBN: 978-1-4503-0103-9

Publication

The Hitchhiker’s Guide to Affiliation Networks: A Game-Theoretic Approach

Christian Borgs, Jennifer Chayes, Jian Ding, Brendan Lucier

MSR-TR-2010-110 | August 2010

Publication

Facebook Privacy Settings: Who Cares?

danah boyd, Eszter Hargittai

First Monday | August 2010, Vol 15(8)

Publication

Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality

Scott Golder, Sarita Yardi

Proceedings of the Second IEEE International Conference on Social Computing | August 2010

Project

Publication

Language Differences and Metadata Features on Twitter

Emre Kiciman

Web N-gram Workshop at SIGIR 2010 | July 2010

Publication

I Tweet Honestly, I Tweet Passionately: Twitter Users, Context Collapse, and the Imagined Audience

Alice Marwick, danah boyd

New Media and Society | July 2010, Vol 13(1): pp. 114-133

Project

Social Media Collective

The mission of the SMC is first and foremost to bring critical and analytical lenses to contemporary sociotechnical systems, particularly around media, expertise, labor, and publics. We aim to contribute to the academic fields concerned with…

Group

Sociotechnical Systems

Sociotechnical Systems is a network of social science and humanistic researchers, part of the Microsoft Research labs in New England. Begun in 2009, the researchers who now lead the initiative are: Nancy Baym, Tarleton Gillespie,…

Publication

Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks

Wei Chen, Chi Wang, Yajun Wang

Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2010), Washington DC, U.S.A. | July 2010