Most current approaches to characterize and detect hate speech focus on content posted in Online Social Networks. They face shortcomings to collect and annotate hateful speech due to the incompleteness and noisiness of OSN text and the subjectivity of hate speech. These limitations are often aided with constraints that oversimplify the problem, such as considering only tweets containing hate-re...

This article analyses the issues involved with deciding which identity groups are categorised as specific hate crime victim groups and which are not. It assesses whether theories of hate crime based around hierarchical notions of group dominance and subordination are helpful in determining which groups should be included under this hate crime ‘umbrella’. Through a discussion of the victimisatio...

Five studies across cultures involving 661 American Democrats and Republicans, 995 Israelis, and 1,266 Palestinians provide previously unidentified evidence of a fundamental bias, what we term the "motive attribution asymmetry," driving seemingly intractable human conflict. These studies show that in political and ethnoreligious intergroup conflict, adversaries tend to attribute their own group...

In ‘A Hypothetical Neurological Association between Dehumanization and Human RightsAbuse’,1 GailMurrowandRichardMurrowposit a biological explanationof how hate speech can spur violence, not only among individuals but, even, on a societal scale. They elaborate historical examples, cite to neuronal studies on patterns of responses in observation of pain and suffering to explain the dehumanization...

Recommender systems provide personalized suggestions to users and are critical to the success of many e-commerce sites, such as Netflix and Amazon. Outside of e-commerce, recommender systems can be deployed in fields such as intelligence analysis, for recommending high-quality information source to analysts for further examination. In this work, we present the square counting method for rating ...

Although the social medium Twitter grants users freedom of speech, its instantaneous nature and retweeting features also amplify hate speech. Because Twitter has a sizeable black constituency, racist tweets against blacks are especially detrimental in the Twitter community, though this effect may not be obvious against a backdrop of half a billion tweets a day. We apply a supervised machine lea...

Research shows that microblogging websites such as Tumblr are being misused as a platform to disseminate hate and extremism. We formulate the problem of locating such extremist communities as a graph search problem. We propose a topical crawler based approach performing several tasks: searching for a blogger, computing its similarity against exemplary documents, filtering hate promoting blogger...

In Franceschi (2002), I presented a theory based on the matrices of concepts aiming at providing an alternative to the classification proposed by Greimas, in the field of paradigmatic analysis. The problem of specifying the relationships of the concepts of love, hate and indifference, arises in this construction. I attach myself to describe the problem of the love-hate-indifference relationship...

A treatment model for the psychological sequelae of discrimination is illustrated via three treatment cases in which experiences of racism, gender and/or ethnic/religious hostility were a primary focus of intervention. The client’s level of psychological functioning, acuity of hate victimization, coping and identity re-formation strategies are addressed in this phase-oriented model of counselin...