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Think different: increasing online community participation using uniqueness and group dissimilarity

by: Pamela J. Ludford, Dan Cosley, Dan Frankowski, Loren Terveen
In CHI '04: Proceedings of the SIGCHI conference on Human factors in computing systems (2004), pp. 631-638.

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ACM, DOI

This article has been bookmarked 45 times, initially on 2005-07-27.

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"Hypotheses

We are now in a position to state the hypotheses we studied in the experiment. The first three concern uniqueness:

  1. H1: People contribute more to online communities

when shown personalized uniqueness information.

  1. H2: People given uniqueness information exploit this

information when participating in the community.

  1. H3: People like being shown uniqueness information.

We also stated two hypotheses about similarity:

  1. H4: People contribute more to online communities

when they are in a discussion group with others similar to themselves.

  1. H5: People can identify similar people through online

community interaction.

Finally, we stated one additional hypothesis:

  1. H6: Users who are active MovieLens raters will be

most active in the discussion groups."

2006-07-07 11:07:25
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