A Hybrid AI System for Evaluating Media Representation of Violence and Inequality
| Publicatietype: | In proceedings |
| Citatie: | |
| Boektitel: | 26th International Conference on Web Information Systems Engineering |
| Jaar: | 2025 |
| Maand: | December |
| Uitgever: | Springer Nature |
| Locatie: | Marrakech, Morocco |
| Samenvatting: | Media coverage of gender-based violence plays a critical role in shaping public understanding and policy, yet often perpetuates stereotypes and biases. We present a hybrid AI approach to analyze how French-language media represent gender-based violence. Combining rule-based Natural Language Processing (NLP) with Large Language Models (LLMs), the system applies expert-defined criteria across analytical categories, with each criterion assigned to the most effective method based on empirical performance. This strategy achieves 87.1% overall accuracy, surpassing previous models. GPT-4 led general performance (77.9%), while NLP delivered exceptional results in structural and language-sensitive categories. Our findings demonstrate that combining complementary AI techniques enables near-human accuracy in evaluating media narratives and contributes to advancing web-based text mining for socially relevant media analysis. |
| Trefwoorden: | gender-based violence, Hybrid AI, Large Language Models, Natural Language Processing, Social bias in media representation, Web text mining |
| Auteurs | |
| Toegevoegd door: | [] |
| Totaalscore: | 0 |
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