A Multimodal Analysis of Human-Generated and Machine-Generated Advertisements in Pakistan

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ID: 336458
2025
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Ranked #408 of 953 articles by views in Pakistan Social Sciences Review

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Abstract
This research aims to investigate the multimodal analysis of both Pakistani human-generated and machine-generated advertisements through visual and textual analysis. Advertisements have been defined by many scholars as how they play a huge role in shaping identity and helping people communicate their ideas. Several studies have been conducted comparing human-created ads and AI-created ads separately. However, the study used a qualitative yet comparative research design to explore the matter comprehensively. This research study chose 40 advertisements in total, comprising 20 human-generated advertisements taken from Social Media Platforms and 20 machine-generated advertisements taken from ChatGPT4 and DeepSeek. The study incorporated both English and Urdu-language-based advertisements. Furthermore, the study used Python and its libraries to analyze the linguistic and visual expressions in the advertisements. Conclusively, the findings showed that human-generated advertisements took control over machine-generated advertisements in terms of emotional resonance, cultural and social relevance. In total, the research suggested that AI had still had zero capacity to replace cultural insight and emotional connection ability.
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imported_1793230793_6ae287c987276 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Pakistan Social Sciences Review
Year 2025
DOI
10.35484/pssr.2025(9-III)06
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Keywords Keywords not found

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