Automatic Detection of Hateful Comments in Online Discussion

Forfatter(e)

Utgivelsesdato

2016

Utgiver

Springer

Dokumenttype

Sammendrag

Making violent threats towards minorities like immigrants or homosexuals is increasingly common on the Internet. We present a method to automatically detect threats of violence using machine learn- ing. A material of 24,840 sentences from YouTube was manually anno- tatedasviolentthreatsornot,andwasusedtotrainandtestthemachine learning model. Detecting threats of violence works quit well with an error of classifying a violent sentence as not violent of about 10% when the error of classifying a non-violent sentence as violent is adjusted to 5%. The best classification performance is achieved by including features that combine specially chosen important words and the distance between those in the sentence.

Emneord

Versjon

acceptedVersion

Permanent URL

  • http://hdl.handle.net/10642/4202