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In recent years, emotions have been receiving considerable attention in discourse analysis, identified as a defining feature of contemporary political discourses. However, most of the previous studies in the field have focused on the categorization of emotions and on how these are present in texts. This approach fails if we want to understand the mechanisms that underpin the relevance of emotions in political discourse, because emotion categories do not tell us much about how and why an emotion is constructed as such. The purpose of this article is to propose a new framework for a more comprehensive analysis drawing upon previous studies on emotions from sociocognitive and constructivist perspectives. Taking into account that emotions are constructed by the addressee -and not by the speaker or the discourse itself-, I present a methodological approach that includes all the elements in play when an emotion arises. Example analysis of hate speech messages are provided to show the contributions that can be made to discourse analysis using this method. [ABSTRACT FROM AUTHOR]

Newer forms of racism in the context of right-wing extremism are characterised by an apparent distancing from overt racist devaluations. In addition or even beyond biological features, it is now cultural characteristics attributed to social groups which serve as grounds for practices of othering and social exclusion. This paper analyses racist discourse in the comment sections of the influential far-right blog pi-news.com where these practices can be observed in detail. With reference to discourse analytical approaches to racism and using corpus-linguistic, data-driven methods, especially word embeddings and collocations, it is shown how racism is linguistically and discursively expressed. Next to both overt and more implicit racist nominations and predications, the notion of Heimat ('homeland') is analysed; it is used to draw racist demarcations without relying on overtly racialising terms. [ABSTRACT FROM AUTHOR]

This paper examines critical comments hidden behind the humorous topic of self-mockery. Based on a discourse analysis of 51 critical comments identified by GooSeeker of a self-mockery event from Weibo, this paper aims to unpack how the commenters actively exploit the relevancy of a topic to fulfill socio-political functions. Three strategies are found to be key in enabling them to accomplish socio-political functions: immoralizing the peripheral party, deauthorizing privilege and irrationalizing competitiveness, the meanings of which are discursively constructed across the critical comments. In this process, the self-mockery event serves as a weapon of social power to formulate critique and articulate discontent without breaking a consistent performance. The creative (re)appropriation in use is believed to be triggered by the policy of the platform and user's self-motivated interactional practice. These findings are expected to have implications for understanding comments as a social behavior at the nexus of language and social power. [ABSTRACT FROM AUTHOR]

Detecting internet hate speech automatically is an important but difficult task that is recognised as ethically problematic. In comparison to typical computer science approaches, the current study focuses on psychologically meaningful aspects of language, and not on terms pre-defined as hateful. Data consists of the naturally occurring discourse of a gender critical feminist group banned from the Reddit discussion platform for promoting hate based on identity; this is compared with discourse of a feminist group from Reddit, that has not been banned. Notable psychologically meaningful terms of the gender critical group include third-person plural pronouns, and metonymic acronyms that reference the gender critical outgroup, which may represent outgroup derogation, and outgroup homogeneity. It is noted that the banned forum, which is shown to be an online community, may be responding to threats to identity in recognised ways. It is concluded that a socio-cognitive discourse approach to hate speech detection may help address related ethical concerns, including potential social injustice. [ABSTRACT FROM AUTHOR]