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Copyright of El Profesional de la Información is the property of EPI SCP and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of El Profesional de la Información is the property of EPI SCP and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The open launch of new artificial intelligence tools such as ChatGPT-3.5 (Generated Pre-trained Transformer) in November 2022 by the company OpenAI -and then its update to version GPT-4 in March 2023-poses new opportunities and challenges for journalism, and especially for professionals specifically focused on information verification. This research aims to understand and analyze the perceptions generated by the irruption of ChatGPT among fact-checking professionals in Spain with the aim of identifying disadvantages and advantages in its use, professional implications and desired functionalities. The study uses qualitative methodology with in-depth interviews with professionals from all Spanish fact-checking platforms belonging to the International Factchecking Network (IFCN) and the European Digital Media Observatory (EDMO). The results conclude that the use of ChatGPT presents notable ambivalences. On the one hand, there are perceived drawbacks in issues such as the transparency and reliability of sources, the scope of the data, and the format of the responses generated. However, fact-checkers also point to a possible auxiliary use of the chatbot in the tasks of gathering information, detecting falsehoods, and producing denials. The irruption of ChatGPT has a direct impact on the work routines of the fact-checkers, which can be made more difficult, reinforced or extended. Fact-checking professionals perceive themselves as "context agents" in a new ecosystem that also obliges them to further diversify their fields of action in the fight against disinformation and to accelerate the implementation of media education actions that empower citizens in the responsible use of artificial intelligence. [ABSTRACT FROM AUTHOR]

Internet and social media have revolutionised the way news is distributed and consumed. However, the constant flow of massive amounts of content has made it difficult to discern between truth and falsehood, especially in online platforms plagued with malicious actors who create and spread harmful stories. Debunking disinformation is costly, which has put artificial intelligence (AI) and, more specifically, machine learning (ML) in the spotlight as a solution to this problem. This work revises recent literature on AI and ML techniques to combat disinformation, ranging from automatic classification to feature extraction, as well as their role in creating realistic synthetic content. We conclude that ML advances have been mainly focused on automatic classification and scarcely adopted outside research labs due to their dependence on limited-scope datasets. Therefore, research efforts should be redirected towards developing AI-based systems that are reliable and trustworthy in supporting humans in early disinformation detection instead of fully automated solutions. [ABSTRACT FROM AUTHOR]