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Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alex, Beatrice Grover, Claire |
| Copyright Year | 2010 |
| Abstract | ii Introduction Social Media eg Twitter, Blogs, Forums, FaceBook, Google Buzz has exploded over the last few years. FaceBook is now the most visited site in the US, overtaking Google in the first quarter of 2010. These sites contain the aggregated beliefs and opinions of millions of people on an epic range of topics, in a multitude of languages. Social Media presents many challenges and opportunities to the ACL community, with this workshop being the first of its kind at a computational linguistics venue. Accepted papers range from story detection and tracking to discourse, applied across new and old media including company announcements, news, forums, blogs and micro-blogs. A notable aspect is the predominance of Twitter as a Social Media resource. We experimented with a new kind of workshop based on a philosophy that ACL workshops should serve a different purpose than the main conference. To encourage submission of new ideas, we restricted papers to just two sides. And, to create a fast-paced and highly interactive workshop, each accepted paper was allotted a short talk and a poster. Our invited talks touch upon various aspects of Social Media; distilling collective beliefs and making them concrete (Noah Smith); new technologies (Casey Whitelaw); the relationships between old and new media (Jochen Leidner). They give a balance between industry and academia and highlight the relationships between Human Language Technologies and Social Media. We are grateful to Google Research for sponsoring the workshop. We used part of the sponsorship to award a prize to the best presentation (be it poster or short talk). This is a conscious decision to reward people for putting effort into communicating their ideas. At the time of writing this preface we have not made the award. But by the time you are reading this, it may well be you! iii Organizers: Abstract In this paper we study what effects sentiment have on the temporal dynamics of user interaction and content generation in a knowledge sharing setting. We try to identify how sentiment influences interaction dynamics in terms of answer arrival, user ratings arrival, community agreement and content popularity. Our study suggests that " Negativity Bias " triggers more community attention and consequently more content contribution. Our findings provide insight into how users interact in online knowledge sharing communities, and helpful for improving existing systems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://aclweb.org/anthology/W10-0500 |
| Alternate Webpage(s) | http://anthology.aclweb.org/W/W10/W10-0500.pdf |
| Alternate Webpage(s) | http://wing.comp.nus.edu.sg/~antho/W/W10/W10-0500.pdf |
| Alternate Webpage(s) | http://aclweb.org/anthology//W/W10/W10-05.pdf |
| Alternate Webpage(s) | http://wing.comp.nus.edu.sg/~antho/W/W10/W10-05.pdf |
| Alternate Webpage(s) | http://anthology.aclweb.org/W/W10/W10-05.pdf |
| Alternate Webpage(s) | http://www.aclweb.org/anthology/W/W10/W10-0500.pdf |
| Alternate Webpage(s) | http://aclweb.org/anthology/W10-05 |
| Alternate Webpage(s) | http://aclweb.org/anthology//W/W10/W10-0500.pdf |
| Alternate Webpage(s) | http://www.aclweb.org/anthology/W/W10/W10-05.pdf |
| Alternate Webpage(s) | http://aclweb.org/anthology-new/W/W10/W10-05.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Proceeding |
