A Corpus-Assisted Critical Discourse Analysis of Ideology in Pakistani and International Digital News Headlines

Abstract

This study presents a corpus-assisted critical discourse analysis of ideological bias in Pakistani and international digital news headlines to address a gap in lexicogrammatical research of Pakistani English-language media. For this purpose, this study utilizes the news headlines corpus from 12 outlets across four ideologically different sub-corpora: Pakistani (PAK), left-wing (LW), right-wing (RW), and international (INT). Therefore, this study employs a multi-method analytical protocol using AntConc and Sketch Engine, and compares the framing strategies across national and ideological contexts. Key results reveal that Pakistani headline discourse is organized around a distinctive political-institutional crisis vocabulary (accountability, crackdown, military, detained, establishment) with no direct equivalent in international sub-corpora. Semantic prosody analysis demonstrates that identical lexemes carry systematically different prosodic orientations across national contexts: accountability is positively prosodic in LW (civic virtue) but negatively prosodic in PAK (instrument of political persecution). Transitivity analysis shows that the PAK sub-corpus exhibits high active voice rates (72.3%) that encode stances toward state action while simultaneously suppress civil society (78.6% suppression rate). On the basis of these results, this study concludes that semantic equivalence cannot be assumed across national corpora and that ideological framing operates through nationally specific lexical, collocational, and grammatical mechanisms. The implications extend to cross-national media discourse methodology, media literacy education in Pakistan, and understanding how grammatical choices reproduce political power asymmetries in Global South media systems.