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Скачать или смотреть COMPUTATION AND MORALITY: INTEGRATING DIVERSE DATA TO STUDY MORAL BEHAVIOR IN THE WILD

  • USC Information Sciences Institute
  • 2020-11-04
  • 255
COMPUTATION AND MORALITY: INTEGRATING DIVERSE DATA TO STUDY MORAL BEHAVIOR IN THE WILD
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Описание к видео COMPUTATION AND MORALITY: INTEGRATING DIVERSE DATA TO STUDY MORAL BEHAVIOR IN THE WILD

Speaker: Morteza Dehghani, Associate Professor of Psychology (University of Southern California)
Date Presented: 10/23/2020

Abstract: My research combines observational studies of psychological processes encoded in social discourse with behavioral experimentation to study the relationship between human values and environmental and psychological factors, and to predict real-world behaviors. In this talk, I will discuss three major lines of research related to this framework: first, I will discuss a project in which we examine individuals' Facebook updates in combination with their self-reported moral concerns to predict individual moral concerns from language. Next, I will talk about a line of research in which we demonstrate how moralization on social networks shapes real-world violence, and how hourly counts of moral tweets during the Baltimore 2015 protests predicts count of arrests as reported by the Baltimore Police Department. Lastly, I will discuss our work at the intersection of morality and hate, and demonstrate that the prevalence of hate groups in a particular region can be predicted based on group-based moral values held in that region. I will conclude by discussing how methodological developments at the intersection of NLP and psychology can have transformational effects on the study of morality, improving the ecological validity of a field that has relied almost exclusively on self-reported answers to preset questionnaires.

Speaker's Bio:
Morteza is an Associate Professor of psychology, computer science and the Brain and Creativity Institute (BCI) at University of Southern California. His research spans the boundary between psychology and artificial intelligence. His work investigates properties of cognition by using documents of the social discourse, such as narratives, social media, transcriptions of speeches and news articles, in conjunction to behavioral studies. Morteza's research interests include theory-based natural language processing with direct applications to moral decision-making, group dynamics, and intergroup conflict and negotiation. He received his BS and MS from UCLA, and PhD from Northwestern. Morteza is a recipient of the NSF CAREER Award, in addition to the Young Investigator award from the Air Force Office of Scientific Research

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