To blog or not to blog: Characterizing and predicting retention in community blogs

Imrul Kayes, Xiang Zuo, Da Wang, Jacob Chakareski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Community blogging is a medium for publishing daily journals, expressing opinions or ideas, and sharing knowledge. Blogging has a high impact on marketing, shaping public opinions, and informing the world about major events from a grassroots point of view. However, turnover in online blogging is very high, with most people who initially join and start contributing to the community, failing to contribute in the long run. In this paper, we ask what factors cause a blogger to continue participating in the community by contributing content (e.g., posts, comments). We crawled a sample of blogger profiles from a popular community blogging platform \Blogster". These bloggers contributed about 91% posts in the community. We derived a set of well-grounded variables related to blogger retention and built a predictive model from the variables. Our results show that the male and aged (senior) bloggers, who face fewer constraints and have more opportunities in the community are more retained than others. Other bloggers pay a high degree of attention to these retained bloggers through implicit (reading posts) and explicit (writing comments) interactions. We have also found that a blogger has higher retention if her friends have also higher retention and a strong social tie reduces retention imbalance between two blogger friends. However, we found that a blogger's network age (e.g., how long ago she joined) has no effect on her retention. Our work has theoretical implications for the social behavior literature of bloggers, and practical implications for potential community blogging platform developers.

Original languageEnglish (US)
Title of host publication7th ASE International Conference on Social Computing, SocialCom 2014
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450328883
DOIs
StatePublished - Aug 4 2014
Externally publishedYes
Event7th ASE International Conference on Social Computing, SocialCom 2014 - Beijing, China
Duration: Aug 4 2014Aug 7 2014

Publication series

NameACM International Conference Proceeding Series
Volume2014-August

Conference

Conference7th ASE International Conference on Social Computing, SocialCom 2014
Country/TerritoryChina
CityBeijing
Period8/4/148/7/14

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • Bloggers
  • Community blogs
  • Retention

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