Abstract
Online public forum discussion in the Reddit science community is moderated to ensure a high standard of scientific content in discourse. This thesis project creates predictive models to distinguish between acceptable and unacceptable forum comments, and it seeks to interpret those models based on input from moderators. Information was collected from moderators (their demographics, moderation habits, moderation decisions and reasons for removing comments) to curate a deeper understanding of the online moderation community and predictive models for automated moderation support.
Library of Congress Subject Headings
Social media--Censorship--Data processing; Reddit (Firm); Discourse analysis; Science--Electronic information resources; Online social networks--Management
Publication Date
5-2019
Document Type
Thesis
Student Type
Graduate
Degree Name
Computer Science (MS)
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Cecilia Ovesdotter Alm
Advisor/Committee Member
Reynold Bailey
Advisor/Committee Member
Joe Geigel
Recommended Citation
Lucas, Elizabeth R., "Understanding prediction of low-quality comments in online science discourse" (2019). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/10041
Campus
RIT – Main Campus
Plan Codes
COMPSCI-MS
