Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Follow the (slash) dot: effects of feedback on new members in an online community
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Understanding video interactions in youtube
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 18th international conference on World wide web
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
Motivating contributors in social media networks
WSM '09 Proceedings of the first SIGMM workshop on Social media
Connecting content to community in social media via image content, user tags and user communication
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Proceedings of the 19th international conference on World wide web
An analysis of user behavior in online video streaming
Proceedings of the international workshop on Very-large-scale multimedia corpus, mining and retrieval
WSM2011: third ACM workshop on social media
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Who will be participating next?: predicting the participation of Dark Web community
Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Measuring media-based social interactions in online civicmobilization against corruption in Brazil
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Media-based social interaction patterns: a case study in an online civic mobilization
Proceedings of the 2012 international workshop on Socially-aware multimedia
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We are motivated in our work by the following question: what factors influence individual participation in social media conversations? Conversations around user posted content, is central to the user experience in social media sites, including Facebook, YouTube and Flickr. Therefore, understanding why people participate, can have significant bearing on fundamental research questions in social network and media analysis, such as, network evolution, and information diffusion. Our approach is as follows. We first identify several key aspects of social media conversations, distinct from both online forum discussions and other social networks. These aspects include intrinsic and extrinsic network factors. There are three factors intrinsic to the network: social awareness, community characteristics and creator reputation. The factors extrinsic to the network include: media context and conversational interestingness. Thereafter we test the effectiveness of each factor type in accounting for the observed participation of individuals using a Support Vector Regression based prediction framework. Our findings indicate that factors that influence participation depend on the media type: YouTube participation is different from a weblog such as Engadget. We further show that an optimal factor combination improves prediction accuracy of observed participation, by ~9--13% and ~8--11% over using just the best hypothesis and all hypotheses respectively. Implications of this work in understanding individual contributions in social media conversations, and the design of social sites in turn, are discussed.