Learning to Perform Moderation in Online Forums

@inproceedings{citeulike:556180, abstract = {Online discussion forums are a valuable resource for people looking to find information, discuss ideas, and get advice on the Internet. Unfortunately, many forums have too much activity and information available, resulting in information overload. Moderation systems are implemented in some forums as a way to handle this problem, but due to sparsity issues, they are often not sufficient. In this paper we describe a novel method for learning from past moderations to develop a classifier that can perform automated moderation and thus address the sparsity problem. Additionally, we discuss the possibility of training a moderating classifieron a moderated forum and then applying it to an otherwise unmoderated forum.}, address = {Washington, DC, USA}, author = {Arnt, Andrew and Zilberstein, Shlomo }, booktitle = {WI '03: Proceedings of the IEEE/WIC International Conference on Web Intelligence}, citeulike-article-id = {556180}, isbn = {0769519326}, keywords = {artificial-intelligence, datamining, information-retrieval, knowledge-discovery, web}, posted-at = {2006-03-17 17:39:30}, priority = {0}, publisher = {IEEE Computer Society}, title = {Learning to Perform Moderation in Online Forums}, url = {http://portal.acm.org/citation.cfm?id=947074}, year = {2003} }

TY - CONF ID - citeulike:556180 L3 - citeulike-article-id:556180 TI - Learning to Perform Moderation in Online Forums T2 - WI '03: Proceedings of the IEEE/WIC International Conference on Web Intelligence AD - Washington, DC, USA PB - IEEE Computer Society SN - 0769519326 N2 - Online discussion forums are a valuable resource for people looking to find information, discuss ideas, and get advice on the Internet. Unfortunately, many forums have too much activity and information available, resulting in information overload. Moderation systems are implemented in some forums as a way to handle this problem, but due to sparsity issues, they are often not sufficient. In this paper we describe a novel method for learning from past moderations to develop a classifier that can perform automated moderation and thus address the sparsity problem. Additionally, we discuss the possibility of training a moderating classifieron a moderated forum and then applying it to an otherwise unmoderated forum. KW - artificial-intelligence KW - datamining KW - information-retrieval KW - knowledge-discovery KW - web AU - Arnt, Andrew AU - Zilberstein, Shlomo PY - 2003/// UR - http://portal.acm.org/citation.cfm?id=947074 ER -