Abstract
This paper aims to establish the relationship between truth, and information management using artificial intelligence (AI). The rise of AI in journalism fosters new challenges and opportunities for truth-telling and newsworthiness, two central concepts in journalistic practice. On one hand, AI can automate the detection of false information and increase the accuracy of fact-checking. However, the use of AI may also intensify issues of bias and discrimination, and there are concerns that AI may not be completely reliable in detecting truth. AI may preserve the dominance of established news sources and overlook underrepresented voices, leading to the “echo chamber” effect. The paper concludes by highlighting the importance of designing and training AI systems in an ethical and transparent manner and ensuring that diverse perspectives are represented in news coverage. The paper is the first step towards developing a fact-checking and AI project that aims to create an AI system capable of managing and validating elements in daily news to detect false information.
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Notes
- 1.
The project will be conducted by OdeCom PUCE under the name: “Fact checking e Inteligencia Artificial” ,and under the code: QINV0438-IINV502000000.
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Cruz-Silva, J. (2024). Truth and Newsworthiness in the Era of Artificial Intelligence. In: Ibáñez, D.B., Castro, L.M., Espinosa, A., Puentes-Rivera, I., López-López, P.C. (eds) Communication and Applied Technologies. ICOMTA 2023. Smart Innovation, Systems and Technologies, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-99-7210-4_15
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DOI: https://doi.org/10.1007/978-981-99-7210-4_15
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