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Advancing Gender Equality in Media: Tackling Stereotypes and Biases with AI
Type of publication: Inproceedings
Citation:
Publication status: Published
Booktitle: 16th International Conference on Intelligent Decision Technologies
Year: 2024
Month: December
Publisher: Springer
Location: Madeira, Portugal
URL: https://link.springer.com/book...
Abstract: This study presents an innovative approach to evaluating media representations of gender-based violence by integrating Natural Language Processing (NLP) techniques with the advanced capabilities of GPT-4, an Artificial Intelligence (AI)-based large language model. We developed a set of 27 expert-defined criteria to analyze a corpus of news articles, initially utilizing NLP methods for foundational text analysis. For more complex criteria, we employed GPT-4 and further enhanced its precision with fine-tuning. Our results indicate a significant increase in accuracy, achieving an overall 76% accuracy rate in content evaluation, which is 9 percentage points higher than using NLP alone. This research introduces a novel media content analysis framework and paves the way for future enhancements in automated journalism assessment and ethical reporting.
Keywords: artificial intelligence, automated evaluation, gender-based violence, GPT-4, media content analysis, Natural Language Processing
Authors Liu, Zhan
Darbellay, Anne
Glassey Balet, Nicole
Vuille, Valérie
Added by: []
Total mark: 0
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