Advancing Gender Equality in Media: Tackling Stereotypes and Biases with AI
| Art der Publikation: | Artikel in einem Konferenzbericht |
| Zitat: | |
| Publication status: | Published |
| Buchtitel: | 16th International Conference on Intelligent Decision Technologies |
| Jahr: | 2024 |
| Monat: | Dezember |
| Seiten: | 413-424 |
| Verlag: | Springer Nature |
| Ort: | Madeira, Portugal |
| URL: | https://link.springer.com/chap... |
| DOI: | https://doi.org/10.1007/978-981-97-7419-7_36 |
| Abriss: | 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. |
| Schlagworte: | artificial intelligence, automated evaluation, gender-based violence, GPT-4, media content analysis, Natural Language Processing |
| Autoren | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
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