Today's article comes from the journal of Intelligent Systems with Applications. The authors are Ravi et al., from the University of Central Florida. In this paper they comb through decades of previous studies to try and determine the most effective tools for identifying hate-speech online.
DOI: 10.1016/j.iswa.2024.200456
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