Comparative Study on the Credibility of AI-Generated News Content and Traditional News Content
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Keywords
AI-generated news content, traditional news content, credibility comparative study
Abstract
Currently, the credibility of AI-generated news content is one of the greatest problems in the development of AIGC technology in journalism. To explore this problem, this article compares the credibility of AI-generated news content and traditional news content in three main aspects: the amount and quality of used data, the personal bias of journalists, and the information transparency of the news content. Through case analysis, data citation, and critical thinking, this study reveals that AI-generated news benefits from vast training data and objective algorithms, reducing personal bias and enabling broad coverage. However, its credibility is undermined by the potential inclusion of inaccurate or biased data and a lack of transparency regarding algorithms and data sources. By examining both the advantages and disadvantages of AI-generated and traditional news content, this study provides ideas and thoughts for the future development of AIGC technology in journalism.
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