GENRE ANALYSIS OF ONLINE CONSUMER REVIEWS ON AMAZON AND DARAZ IN PAKISTAN: A COMPARATIVE STUDY
DOI:
https://doi.org/10.68156/hhmt7f22Keywords:
Amazon, Bhatia (1993) Move-Step Model, Daraz, Digital Discourse, Genre Analysis, Online Consumer Reviews, Pakistani E-CommerceAbstract
Online consumer reviews now shape purchasing decisions, yet little is known about how their rhetorical and linguistic construction differs between a global platform and a Pakistani one. Existing work has examined reviews mainly through marketing and computational approaches, and genre-based studies have concentrated on Amazon and other Western sites, leaving Pakistani e-commerce largely unexamined. This study presents a comparative genre analysis of 50 consumer reviews, 25 from Amazon and 25 from Daraz. Using a qualitative, descriptive, and comparative design, it applies Bhatia’s (1993) move-step model to identify rhetorical organization and examines code-switching and culturally embedded expression through close reading. Two research questions guide the analysis: which moves and steps make up the genre on both platforms, and how the platforms differ in rhetorical structure, language, and cultural expression. Both sets of reviews contain the same four moves: identifying the product, evaluating the product, justifying the evaluation, and recommending the product or giving seller feedback. Evaluation is the only obligatory move, found in all 25 reviews on each platform. The platforms differ in the steps that realize the moves. Amazon reviews centre on the product: its features, its performance, and the reviewer’s experience of use. Daraz reviews centre on the transaction: conformity with the listing, delivery, and appreciation of the seller, often expressed through English and Roman Urdu code-switching and, in a minority of reviews, through religious formulas of thanks and blessing. Because the corpus is small, the patterns are descriptive and cannot be generalized to either platform as a whole. The study shows that one genre can take different shapes in different marketplaces, and it adds a Pakistani case to a literature built largely on Western data.
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