Do jornalismo de dados à inteligência artificial: desafios enfrentados pelo La Nación na implementação de la visão computacional para a produção de notícias
DOI:
https://doi.org/10.5294/pacla.2021.24.3.7Palavras-chave:
Visão computacional, inteligência artificial, aprendizado de máquina, jornalismo de dados, La Nación, tecnologia, jornalismo, ciência da computação, tecnologia avançadaResumo
O jornalismo está em um ponto radical de mudança que exige que as organizações abracem novas ideias e novos formatos de reportagem. Além disso, o aparecimento de dados, sensores e avanços em tecnologia, em particular os smartphones, trouxeram benefícios imensuráveis para a prática jornalística e, principalmente, para o jornalismo de dados. Dado o seu carácter novo e a relativamente complexidade de implementar inteligência artificial (IA) em jornalismo, poucas áreas conseguiram implantar soluções de IA personalizadas na indústria de mídia. Neste estudo, através de uma abordagem mista, combinando observação participante e entrevistas, nós explicamos os obstáculos e desafios do desenvolvimento de projetos noticiosos através da visão computacional, um subconjunto da IA, em uma organização de mídia líder na América Latina, o jornal La Nación na Argentina. Os resultados mostram quatro amplas dificuldades para a implementação de IA, especialmente projetos de visão computacional usando imagens de satélite: falta de imagens de alta resolução, indisponibilidade de infraestrutura tecnológica, ausência de pessoal qualificado para desenvolver tais códigos e, um longo e caro processo de implementação que requer um investimento significativo. O artigo conclui com uma discussão sobre a centralidade da solução de IA nas mãos de grandes corporações de tecnologia.
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