A case study of CSCW in a dispersed organization
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Discovering important nodes through graph entropy the case of Enron email database
Proceedings of the 3rd international workshop on Link discovery
Expressing emotion in text-based communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The group facilitator: a CSCW perspective
ECSCW'91 Proceedings of the second conference on European Conference on Computer-Supported Cooperative Work
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Automated social hierarchy detection through email network analysis
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Mopping up: modeling wikipedia promotion decisions
Proceedings of the 2008 ACM conference on Computer supported cooperative work
The Word Tree, an Interactive Visual Concordance
IEEE Transactions on Visualization and Computer Graphics
What's mine is mine: territoriality in collaborative authoring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Relationship identification for social network discovery
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Echoes of power: language effects and power differences in social interaction
Proceedings of the 21st international conference on World Wide Web
A comprehensive gold standard for the Enron organizational hierarchy
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Understanding affect in the workplace via social media
Proceedings of the 2013 conference on Computer supported cooperative work
Statistical affect detection in collaborative chat
Proceedings of the 2013 conference on Computer supported cooperative work
Project roles in the apache software foundation: a dataset
Proceedings of the 10th Working Conference on Mining Software Repositories
Understanding employee social media chatter with enterprise social pulse
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
The language that gets people to give: phrases that predict success on kickstarter
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Computational perspectives on social phenomena at global scales
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Hierarchy fundamentally shapes how we act at work. In this paper, we explore the relationship between the words people write in workplace email and the rank of the email's recipient. Using the Enron corpus as a dataset, we perform a close study of the words and phrases people send to those above them in the corporate hierarchy versus those at the same level or lower. We find that certain words and phrases are strong predictors. For example, "thought you would" strongly suggests that the recipient outranks the sender, while "let's discuss" implies the opposite. We also find that the phrases people write to their bosses do not demonstrate cognitive processes as often as the ones they write to others. We conclude this paper by interpreting our results and announcing the release of the predictive phrases as a public dataset, perhaps enabling a new class of status-aware applications.