Journal Article

The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context. To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and ...

Critical assessments of the recent resurgence of right-wing nationalism have rightly highlighted the role of social media in these troubling times, yet they are constrained by an overemphasis on celebrity leaders defined as populists. This article departs from a leader-centric analysis and the liberal frame that still largely informs the assessment of political action, to ...

Internet memes have become a popular form through which northern Chileans express frustrations with their marginalization on global, national, and local levels. At the same time, many of these memes criticize Bolivian immigrants for using resources and taking jobs from “true Chileans.” The humorous nature of these texts mitigates the extremity of embedded racial and ...

This article looks at extreme speech practices in Danish weblogs and Facebook comment threads that treat issues of refugees, migration, Islam, and opponents as a cultural war of values and conflict. The article highlights the ritualized ways in which anti-immigrant sentiments are being communicated, received, and responded to. Such recurrent ritualistic communicative patterns include the ...

National governments now recognize online hate speech as a pernicious social problem. In the wake of political votes and terror attacks, hate incidents online and offline are known to peak in tandem. This article examines whether an association exists between both forms of hate, independent of ‘trigger’ events. Using Computational Criminology that draws on data ...

As white nationalists have come to increasing prominence in recent decades, their presence presents a significant challenge to democratic societies. Motivated by a sense of racial imperilment, and opposed, sometimes violently, to core democratic ideals, white nationalists cannot be meaningfully incorporated into the political life of societies which promote inclusiveness and pluralism without threatening those ...

Identification and classification of extremist-related tweets is a hot issue. Extremist gangs have been involved in using social media sites like Facebook and Twitter for propagating their ideology and recruitment of individuals. This work aims at proposing a terrorism-related content analysis framework with the focus on classifying tweets into extremist and non-extremist classes. Based on ...

Because social media sites are self-regulating, each site has developed its own community standards, which serve as regulatory tools. However, the processes of content moderation are often unclear, subjective, and discriminatory. Drawing from a series of interviews with individuals in the “Men Are Scum” movement, this article describes the experiences of women who have been ...

Following Sahana Udupa and Matti Pohjonen’s (2019) invitation to move the debate beyond a normative understanding of hate speech, this article seeks to build a foundation for conceptual and empirical inquiry of speech commonly considered deviant and disturbing. It develops in three stages. It first maps the public lives of terms that refer to online ...

By exploring lessons learned from Ethiopia and Finland, this article challenges two assumptions about online hate speech research. First, it challenges the assumption that the best way to understand controversial concepts such as online hate speech is to determine how closely they represent or mirror some underlying set of facts or state of affairs online ...