(2016) give an important contribution to the understanding of HS in relation to other social phenomena: by collecting geo-tagged data from Twitter, the authors create a Hate Map that locates the breeding grounds of five different types of hateful content (Homophobic, Racist, Sexist, Anti-semitic and Against disability).
contrary to the approach we have followed in this work, the keywords used for filtering the data consisted of swear words frequently used against the five HS targets.