A Triadic Formal Concept Analysis Approach to Analyzing Online Hate Speech in Facebook Comments

Radu Mihai Meza, Șerban Nicolae Meza

Abstract


This paper outlines computational thinking, language independent methodology for identifying and analyzing the contexts, targets and contents of online hate speech manifested in Facebook comments on popular Fan Pages or open groups. The three-step process involves data collection via API tools, a preliminary co-occurrence analysis of user-defined semantic field codes and clustering and visual analysis using triadic formal concept analysis navigation tools.

Keywords


Hate Speech; Co-Occurrence Analysis; Triadic Formal Concept Analysis; Unstructured Data; Digital Media Analysis

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