9780262528917-0262528916-Building Successful Online Communities: Evidence-Based Social Design (Mit Press)

Building Successful Online Communities: Evidence-Based Social Design (Mit Press)

ISBN-13: 9780262528917
ISBN-10: 0262528916
Edition: Reprint
Author: Robert E. Kraut, Paul Resnick
Publication date: 2016
Publisher: The MIT Press
Format: Paperback 328 pages
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Book details

ISBN-13: 9780262528917
ISBN-10: 0262528916
Edition: Reprint
Author: Robert E. Kraut, Paul Resnick
Publication date: 2016
Publisher: The MIT Press
Format: Paperback 328 pages

Summary

Building Successful Online Communities: Evidence-Based Social Design (Mit Press) (ISBN-13: 9780262528917 and ISBN-10: 0262528916), written by authors Robert E. Kraut, Paul Resnick, was published by The MIT Press in 2016. With an overall rating of 3.9 stars, it's a notable title among other Social Media (Internet & Social Media, Social Media for Business, History & Culture, Communication, Words, Language & Grammar , Communication & Media Studies, Social Sciences) books. You can easily purchase or rent Building Successful Online Communities: Evidence-Based Social Design (Mit Press) (Paperback) from BooksRun, along with many other new and used Social Media books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.87.

Description

How insights from the social sciences, including social psychology and economics, can improve the design of online communities.

Online communities are among the most popular destinations on the Internet, but not all online communities are equally successful. For every flourishing Facebook, there is a moribund Friendster―not to mention the scores of smaller social networking sites that never attracted enough members to be viable. This book offers lessons from theory and empirical research in the social sciences that can help improve the design of online communities.

The authors draw on the literature in psychology, economics, and other social sciences, as well as their own research, translating general findings into useful design claims. They explain, for example, how to encourage information contributions based on the theory of public goods, and how to build members' commitment based on theories of interpersonal bond formation. For each design claim, they offer supporting evidence from theory, experiments, or observational studies.

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