Factors impacting community response in an interest-sharing network

Authors:
Iris Howley;Todd Newman
Affiliations:
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Microsoft Research, Redmond, Washington, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2013

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Abstract

The arrival of a new interest-sharing network, So.cl, provides for a new opportunity to explore human behavior as it relates to constructing public contributions and receiving community response. This study looks at archival data in order to better understand how types of shared content receive interaction from others. The results suggest that a So.cl user should include more photos and less links on their post to increase the quantity of likes and comments the community gives to the post, among other discoveries.