Lexical Contributions to Context-Aware Harassment Detection on Social Media

Boston, MA · May 2017

Poster Session · Cognitive

Debra Steele-Johnson
Wright State University
Kathleen Wylds
Wright State University
Lu Chen
Wright State University
Nick Kovacs
Wright State University
Valerie Shalin
Wright State University
Krishnaprasad Thirunarayan
Wright State University
Amit Sheth
Wright State University

Abstract

The current study examined the offensiveness ratings of lexical items in order to identify the harassment potential of individual lexical items and contribute to the development of a tool that detect harassing messages. Results (N = 9) provided evidence that valence ratings may be a good predictor of offensive messages.

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Lexical Contributions to Context-Aware Harassment Detection on Social Media

Abstract

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