You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
A tutorial on spectral clustering
Statistics and Computing
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Agreement detection in multiparty conversation
Proceedings of the 2009 international conference on Multimodal interfaces
An empirical study of critical mass and online community survival
Proceedings of the 2010 ACM conference on Computer supported cooperative work
How can you say such things?!?: recognizing disagreement in informal political argument
LSM '11 Proceedings of the Workshop on Languages in Social Media
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Actions speak as loud as words: predicting relationships from social behavior data
Proceedings of the 21st international conference on World Wide Web
New spectral methods for ratio cut partitioning and clustering
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
That is your evidence?: Classifying stance in online political debate
Decision Support Systems
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With the popularity of social media in recent years, it has been a critical topic for social network designer to understand the factors that influence continued user participation in online newsgroups. Our study examines how feedback with different opinions is associated with participants' lifetime in online newsgroups. Firstly, we propose a new method of classifying different opinions among user interaction contents. Generally, we leverage user behavior information in online newsgroups to estimate their opinions and evaluate our classification results based on linguistic features. In addition, we also implement this opinion classification method into our SINCERE system as a real-time service. Based on this opinion classification tool, we use survival analysis to examine how others' feedback with different opinions influence continued participation. In our experiment, we analyze more than 88,770 interactions on the official Occupy LA Facebook page. Our final result shows that not only the feedback with the same opinions as the user, but also the feedback with different opinions can motivate continued user participation in online newsgroup. Furthermore, an interaction of feedback with both the same and different opinions can boost user continued participation to the greatest extent. This finding forms the basis of understanding how to improve online service in social media.