Predicting Continued Participation in Newsgroups
By Elisabeth Joyce, Robert E. Kraut. 2006
408 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Stefan Stieglitz
- Linh Dang-Xuan
- Samer Faraj
- Ann Majchrzak
- Moira Burke
- Steven L. Johnson
- Sirkka L. Jarvenpaa
- Sally Harridge-March
In Sociology and Political Science
- Dan Cosley
- Amit Sharma
- Eytan Bakshy
- Moira Burke
- Ann Majchrzak
- Stefan Stieglitz
- Samer Faraj
- Linh Dang-Xuan
Citations in the corpus
- Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “The existing voting data might be much more useful, however, in addressing questions that involve predicting a given user’s future behavior based on how other users respond to a user’s early contributions [29,61].”
- Content or Community? A Digital Business Strategy for Content Providers in the Social Age (2013, background): “Joyce and Kraut (2006) showed how a user's likelihood of posting is related to the properties of the replies he receives in response to his initial posting.”
- Social Barriers Faced by Newcomers Placing Their First Contribution in Open Source Software Projects (2015, background): “Joyce and Kraut [41] also analyzed Usenet communities and reported that newcomers were more likely to receive a response if they asked a question or wrote a longer post.”
- Knowledge sharing and yahoo answers: everyone knows something (2008, positive): “Using message level content analysis, Joyce and Kraut [2] [9] studied whether the formulation of a newcomer's post and related responses influenced whether they continue to participate.”
- Knowledge Collaboration in Online Communities (2011, background): “Particularly for a new entrant to a community, the lack of response to an idea may suppress future participation (Joyce and Kraut 2006).”
- Feed me: motivating newcomer contribution in social network sites (2009, background): “in Slashdot [37] or discussion groups [34]).”
- Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior (2012, background): “Results from a study of online interactions [22] suggested that negative affect of messages can actually trigger participation.”
- Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013, background): “, [38]), and social sharing behavior (e.”
- Understanding the appeal of user-generated media: a uses and gratification perspective (2009, background): “This can partly be explained by the reinforcement model, which predicts that people repeat actions that lead to positive reinforcements (Joyce and Kraut, 2006).”
- 4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community (2011, result): “This 43% figure is roughly consistent with Usenet, where 40% of posts get no reply (Joyce and Kraut 2006).”
- Relationships in online communities: the potential for marketers (2010, background): “The development over time and participation reinforces a sense of community as contributors get positive reinforcement ( Joyce and Kraut, 2006”
- Network Exchange Patterns in Online Communities (2011, background): “Organization Science Page 4 communities are more likely to continue participating if they receive a response to their initial post, irrespective of the quality and emotional tone of the response (Joyce and Kraut 2006).”
- Dimensions of leadership and social influence in online communities (2010, background): “…content from Google Groups for a random subset of 99 groups from the total Netscan Human Communication Research 36 (2010) 593–617 © 2010 International Communication Association 599 Online Leaders and Social Influence D. Huffaker data, ranging from June 2003 to January 2005 (Joyce & Kraut, 2006).”