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Attitudinal Stance and Code-Switching as Persuasive Tools in Malaysian Digital Activism: A Corpus-Assisted Discourse Analysis of Mobilisation Discourse

Year: 2025
Type: article
Abstract: This study explores the mobilisation discourse surrounding the Boycott, Divestment, Sanctions (BDS) movement on social media. It investigates the linguistic strategies employed by Malaysian influencers, identified as digital activists, focusing on their persuasive tactics. This research particularly examines attitudinal stance and code-switching in online mobilisation discourse. We consider how rhetoric may have evolved, or remained consistent, in the age of social media, algorithm surveillance, and digital technology. Employing a corpus-assisted critical discourse analysis methodology, which integrates corpus linguistics techniques with a critical discourse analysis approach, we examined 30 posts from Malaysian TikTok activists to understand the characteristics and features of the persuasive language used by them. The study found that these digital activists evaluate Israel mostly using judgment rather than affect or appreciation based on the attitude system. Additionally, code-switching was widely used, with motivations for marked code choice including avoiding social media monitoring, negotiating identities, and connecting with diverse groups. These activists also employed coded language and focused on information sharing rather than engaging in blatant criticism of the Zionist movement. This study argues that social media discourse, particularly digital activism responding to humanitarian crises like the genocide in Palestine, offers a significant area for understanding public mobilisation. By utilising corpus linguistics techniques, this research uncovers interesting language patterns and sheds light on language's crucial role in contemporary mobilisation and activism movements. Keywords: corpus-assisted discourse analysis; attitudinal stance; code-switching; Tik Tok; digital activism
Language: English
Open Access status: gold
Estimated APC paid: $300
OpenAlex ID: W4414620046
FWCI: 11.02
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Cited by: 1
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