Academic Commons

Theses Doctoral

Social Power in Interactions: Computational Analysis and Detection of Power Relations

Prabhakaran Gourinivas, Vinodkumar

In this thesis, I investigate whether social power relations are manifested in the language and structure of social interactions, and if so, in what ways, and whether we can use the insights gained from this study to build computational systems that can automatically identify these power relations by analyzing social interactions. To further understand these manifestations, I extend this study in two ways. First, I investigate whether a person’s gender and the gender makeup of an interaction (e.g., are most participants female?) affect the manifestations of his/her power (or lack of it) and whether it can help improve the predictive performance of an automatic power prediction system. Second, I investigate whether different types of power manifest differently in interactions, and whether they exhibit different but predictable patterns. I perform this study on interactions from two different genres: organizational emails, which contain task oriented written interactions, and political debates, which contain discursive spoken interactions.

Subjects

Files

  • thumnail for Prabhakaran_columbia_0054D_12918.pdf Prabhakaran_columbia_0054D_12918.pdf binary/octet-stream 4.9 MB Download File

More About This Work

Academic Units
Computer Science
Thesis Advisors
Rambow, Owen C.
Degree
Ph.D., Columbia University
Published Here
September 11, 2015