Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Towards the Orwellian nightmare: separation of business and personal emails
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
The Word Tree, an Interactive Visual Concordance
IEEE Transactions on Visualization and Computer Graphics
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Email formality in the workplace: a case study on the Enron corpus
LSM '11 Proceedings of the Workshop on Languages in Social Media
Phrases that signal workplace hierarchy
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
| Hi-index | 0.00 |
We spend a significant part of our lives chatting about other people. In other words, we all gossip. Although sometimes a contentious topic, various researchers have shown gossip to be fundamental to social life---from small groups to large, formal organizations. Adopting the Enron email dataset and natural language techniques, we present the first study of gossip in a large CMC corpus. We find that workplace gossip is common at all levels of the organizational hierarchy, with people most likely to gossip with their peers and that it is more likely for an email to contain gossip if targeted to a smaller audience. Also, gossip appears as often in personal exchanges as it does in formal business communication. Exploring the sentiment of gossip, we observe that gossip is in fact quite often negative. Our study provides empirical evidence of an under-researched yet important societal phenomenon and provides empirical insights by testing existing gossip theories originating from anthropology, on a real world large email dataset.