“How Incredibly Awesome!” — Click Here to Read More


  • Hyung-il Ahn Massachusetts Institute of Technology
  • Werner Geyer IBM
  • Casey Dugan IBM
  • David Millen IBM


sentiment analysis, recommendations, social media, discussion


We investigate the impact of a discussion snippet's overall sentiment on a user's willingness to read more of a discussion. Using sentiment analysis, we constructed positive, neutral, and negative discussion snippets using the discussion topic and a sample comment from discussions taking place around content on an enterprise social networking site. We computed personalized snippet recommendations for a subset of users and conducted a survey to test how these recommendations were perceived. Our experimental results show that snippets with high sentiments are better discussion "teasers."




How to Cite

Ahn, H.- il, Geyer, W., Dugan, C., & Millen, D. (2010). “How Incredibly Awesome!” — Click Here to Read More. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 203-206. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14060