Constructing Ideology through Hate: A Discourse Analysis of Pakistani Politics

Clicks: 7
ID: 334827
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #819 of 1,064 articles by views in Annals of Human and Social Sciences

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,064 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This study investigates the implicit ideologies and discursive devices in Pakistani political leaders' speeches, focusing on how hate speech influences ideological divides and public mobilisation. Political hate speech has become prevalent in Pakistan, with leaders using polarising language to deepen societal divides and delegitimise opponents. This study examines the linguistic strategies underlying this trend. Using Critical Discourse Analysis (CDA) and van Dijk’s socio-cognitive framework, this qualitative analysis reviews fifteen speeches by leaders from Pakistan's major political parties: PTI, PML-N, and PPP. Discursive devices, such as presuppositions, metaphors, and lexical choices, are analysed for their ideological impact. Findings reveal that strategic language choices embed assumptions, evoke emotions, and frame oppositional narratives, shaping public perception and consolidating ideological stances. Policymakers should discourage hate speech in political discourse, and educational programmes in critical media literacy are recommended to help the public discern manipulative language in political narratives.
Reference Key
imported_1793228259_6ae27de3b0f9c Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Annals of Human and Social Sciences
Year 2024
DOI
10.35484/ahss.2024(5-I)59
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.