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The article describes the development of a prototype dashboard created at the Codesinfo Hackathon, during the 21st International Congress of Investigative Journalism (Abraji), focused on analyzing sports journalism coverage on Artificial Intelligence (AI). The central problem addressed is the difficulty of researchers in dealing with the volume of data and correlating journalistic practice with scientific literature. The proposed solution uses Google AI Studio to categorize excerpts from articles from national and international outlets and suggest related academic articles. The results demonstrate the possibility of a methodological flow to automate the crossing of data, facilitating the production of undergraduate and graduate research, but also highlight the need to deal with errors and hallucinations to maintain the integrity of the information and scientific quality.
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