Platforming threatoric on TikTok : racial‑religious fear during Malaysia’s 15th general election

This paper examines how TikTok shaped the production and circulation of threatoric, the affective and discursive staging of racial and religious threat, during Malaysia’s 15th General Election (GE15). Drawing on Proximisation Theory (PT) and Social Media Critical Discourse Studies (SM-CDS), it analyses 60 publicly accessible TikTok videos collected between 5 and 24 November 2022 that mobilise ethnoreligious anxieties, frequently invoking the May 13, 1969 riots to frame political opposition as imminent existential danger. Moving beyond content-centred analysis, the paper approaches threatoric as a platformed genre organised through observable platform formats and techno-semiotic resources. The analysis identifies four recurring patterns: affective-sonic staging, epistemic claims to evidentiality, platformed polyvocal legitimation, and interactional and translational amplification that intensify spatial, temporal, and axiological proximisation in multimodal form. Synthesising these patterns, the paper specifies eight platform affordances through which ideological fear is rendered familiar, morally saturated, and presented as epistemically self-evident within the sampled dataset. It argues that GE15 TikTok content does not constitute an ideological rupture but a platformed rearticulation of enduring ethnonationalist anxieties under conditions of platformed politics.

Authors

Publication Details

Journal
Lancaster EPrints (Lancaster University)
Published
2026-06-30
Primary Topic
Asian Studies and History
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Platforming threatoric on TikTok : racial‑religious fear during Malaysia’s 15th general election

Siti Nurnadilla Mohamad Jamil
Lancaster EPrints (Lancaster University)
Asian Studies and History
article

Platforming threatoric on TikTok : racial‑religious fear during Malaysia’s 15th general election

Siti Nurnadilla Mohamad Jamil
article en

Abstract

This paper examines how TikTok shaped the production and circulation of threatoric, the affective and discursive staging of racial and religious threat, during Malaysia’s 15th General Election (GE15). Drawing on Proximisation Theory (PT) and Social Media Critical Discourse Studies (SM-CDS), it analyses 60 publicly accessible TikTok videos collected between 5 and 24 November 2022 that mobilise ethnoreligious anxieties, frequently invoking the May 13, 1969 riots to frame political opposition as imminent existential danger. Moving beyond content-centred analysis, the paper approaches threatoric as a platformed genre organised through observable platform formats and techno-semiotic resources. The analysis identifies four recurring patterns: affective-sonic staging, epistemic claims to evidentiality, platformed polyvocal legitimation, and interactional and translational amplification that intensify spatial, temporal, and axiological proximisation in multimodal form. Synthesising these patterns, the paper specifies eight platform affordances through which ideological fear is rendered familiar, morally saturated, and presented as epistemically self-evident within the sampled dataset. It argues that GE15 TikTok content does not constitute an ideological rupture but a platformed rearticulation of enduring ethnonationalist anxieties under conditions of platformed politics.

Lancaster EPrints (Lancaster University)
Reduced inequalities
Openalex Percentile: Top 74%
Asian Studies and History
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.