Campus Event Calendar
Event Entry
What and Who
Language as Influence(d)
Cristian Danescu-Niculescu-Mizil
Cornell University
SWS Colloquium
Cristian Danescu-Niculescu-Mizil's research aims at developing computational frameworks that can lead to a better understanding
of human social behavior, by unlocking the unprecedented potential of the large amounts of natural language data generated online.
His work tackles problems related to conversational behavior, opinion mining, computational semantics and computational advertising.
Cristian is a PhD student in computer science at Cornell University. Earlier, he earned a master's degree from Jacobs University Bremen
and an undergraduate degree from the University of Bucharest. He is the recipient of a Yahoo! Key Scientific Challenges award and
his work has been featured in popular-media outlets such as Nature News and MIT's Technology Review blog.
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Expert Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Monday, 19 March 2012
10:30
90 Minutes
G26
206
Kaiserslautern
Abstract
What effect does language have on people, and what effect do people have on language? The answers to these questions
can help shape the future of social-media systems by bringing a new understanding of communication and collaboration
between users.
I will describe two of my efforts to address these fundamental problems computationally, exploiting very large-scale textual
and social data. The first project uncovers previously unexamined contextual biases that people have when determining which
opinions to focus on, using Amazon.com helpfulness votes on reviews as a case study to evaluate competing theories from
sociology and social psychology. The second project leverages insights from psycho- and socio-linguistics and embeds them
into a novel computational framework in order to provide a new understanding of how key aspects of social relations between
individuals are embedded in (and can be inferred from) their conversational behavior. In particular, I will discuss how power
differentials between interlocutors are subtly revealed by how much one individual immediately echoes the linguistic style of the
person they are responding to.
This talk includes joint work with Susan Dumais, Michael Gamon, Jon Kleinberg, Gueorgi Kossinets, Lillian Lee and Bo Pang.
can help shape the future of social-media systems by bringing a new understanding of communication and collaboration
between users.
I will describe two of my efforts to address these fundamental problems computationally, exploiting very large-scale textual
and social data. The first project uncovers previously unexamined contextual biases that people have when determining which
opinions to focus on, using Amazon.com helpfulness votes on reviews as a case study to evaluate competing theories from
sociology and social psychology. The second project leverages insights from psycho- and socio-linguistics and embeds them
into a novel computational framework in order to provide a new understanding of how key aspects of social relations between
individuals are embedded in (and can be inferred from) their conversational behavior. In particular, I will discuss how power
differentials between interlocutors are subtly revealed by how much one individual immediately echoes the linguistic style of the
person they are responding to.
This talk includes joint work with Susan Dumais, Michael Gamon, Jon Kleinberg, Gueorgi Kossinets, Lillian Lee and Bo Pang.
Contact
Claudia Richter
0681 9303 9103
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Video Broadcast
Yes
Saarbrücken
E1 5
5th Floor
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Claudia Richter, 03/08/2012 13:21 -- Created document.