Advancing Gender Equality in Media: Tackling Stereotypes and Biases with AI
| Tipo de publicação: | Inproceedings |
| Citação: | |
| Publication status: | Published |
| Booktitle: | 16th International Conference on Intelligent Decision Technologies |
| Ano: | 2024 |
| Mês: | December |
| Páginas: | 413-424 |
| Publisher: | Springer |
| Location: | Madeira, Portugal |
| URL: | https://link.springer.com/chap... |
| DOI: | https://doi.org/10.1007/978-981-97-7419-7_36 |
| Resumo: | 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. |
| Palavras-chave: | artificial intelligence, automated evaluation, gender-based violence, GPT-4, media content analysis, Natural Language Processing |
| Autores | |
| Adicionado por: | [] |
| Total mark: | 0 |
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