Artificial Intelligence Tools and Bias in Journalism-related Content GenerationComparison Between Chat GPT-3.5, GPT-4 and Bing

  1. Mar Castillo-Campos 1
  2. David Varona-Aramburu 2
  3. David Becerra-Alonso 1
  1. 1 Universidad Loyola Andalucía
    info

    Universidad Loyola Andalucía

    Sevilla, España

    ROR https://ror.org/0075gfd51

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Zeitschrift:
Trípodos

ISSN: 1138-3305,  2340-5007

Datum der Publikation: 2024

Titel der Ausgabe: Artificial Intelligence and Communication. Opportunities and challenges

Nummer: 55

Seiten: 99-115

Art: Artikel

DOI: 10.51698/TRIPODOS.2024.55.06 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Trípodos

Zusammenfassung

This study explores the biases present in artificial intelligence (AI) tools, focusing on GPT-3.5, GPT-4, and Bing. The performance of the tools has been compared with a group of experts in linguistics, and journalists specialized in breaking news and international affairs. It reveals that GPT-3.5, widely accessible and free, exhibits a higher tendency rate in its word generation, suggesting an intrinsic bias within the tool itself rather than in the input data. Comparatively, GPT-4 and Bing demonstrate differing patterns in term generation and subjectivity, with GPT-4 aligning more closely with expert opinions and producing fewer opinative words. The research highlights the extensive use of generative AI in media and among the general populace, emphasizing the need for careful reliance on AI-generated content. The findings stress the risks of misinformation and biased reporting inherent in unexamined AI outputs. The challenge for journalists and information professionals is to ensure accuracy and ethical judgment in content creation to maintain the quality and diversity of content in journalistic practices.

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