La inteligencia artificial y la verificación de información periodística: Caso Lupa Media

Abstract

This study examines the influence of artificial intelligence tools on the journalistic information verification processes developed by Lupa Media. The research addresses a specific concern: understanding how these technologies are incorporated into Ecuadorian fact-checking without replacing the professional judgment of the verification team. The methodology follows a quantitative approach supported by qualitative analysis. The quantitative component consisted of an analysis matrix applied to 150 verification pieces published by Lupa Media, classified according to fact-checking rating, content type, platform of origin, scope, and required verification process. In addition, a semi-structured interview was conducted with the organization’s executive director to interpret the actual use of AI tools within the editorial workflow. The results show that artificial intelligence mainly operates as an operational support tool in documentary tasks, social media monitoring, information organization, and preliminary analysis of multimedia content. However, it does not replace source verification, contextual interpretation, or the human assignment of verification ratings. The study concludes that the responsible integration of AI into fact-checking journalism requires internal protocols, methodological transparency, continuous training, and permanent human supervision, so that technology can strengthen efficiency without undermining journalistic credibility.