"Analyzing gossip in workplace email" by Tanushree Mitra and Eric Gilbert, with Ching-man Au Yeung as coordinator
Tanushree Mitra, Éric Gilbert
Abstract
Tanushree Mitra, Éric Gilbert
Abstract
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.
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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.
Key concepts: Gossip, Hierarchy, Phenomenon, Computer science, Gossip protocol, Empirical research, Empirical evidence, Sociology