Full metadata
Title
Information Density and Persuasiveness in Naturalistic Data
Description
Attitudes play a fundamental role when making critical judgments and the extremity of people’s attitudes can be influenced by one’s emotions, beliefs, or past experiences and behaviors. Human attitudes and preferences are susceptible to social influence and attempts to influence or change another person’s attitudes are pervasive in all societies. Given the importance of attitudes and attitude change, the current project investigated linguistic aspects of conversations that lead to attitude change by analyzing a dataset mined from Reddit’s Change My View (Priniski & Horne, 2018). Analysis of the data was done using Natural Language Processing (NLP), specifically information density, to predict attitude change. Top posts from Reddit’s (N = 510,149) were imported and processed in Python and information density measures were computed. The results indicate that comments with higher information density are more likely to be awarded a delta and are perceived to be more persuasive.
Date Created
2020
Contributors
- Lobo, Nicole Simone (Author)
- Horne, Zachary S (Thesis advisor)
- Duran, Nicholas (Committee member)
- Hall, Deborah (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
68 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.62785
Level of coding
minimal
Note
Masters Thesis Psychology 2020
System Created
- 2020-12-08 12:01:24
System Modified
- 2021-08-26 09:47:01
- 3 years 2 months ago
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