Title: Automated journalism and the ethnographic approach applied within the Brazilian sports newsroom

Authors: Haline Costa Maia

Addresses: Department of Informatics Engineering, INESC TEC and Faculty of Engineering of University of Porto, Porto, 4200-465, Portugal

Abstract: This paper tackles how technology can create a new media ecosystem for sports journalism and allows appropriations in which the new era of artificial intelligence ultimately influences content production. The organisational and cultural values embedded within the sports journalistic programming code of Globo Television are analysed to validate the research. Ethnographic approaches are observed together in articulation with a case study analysis for a deeper understanding of these nuances. The emphasis is put on data gathering and triangulation with participant interviews to observe the interaction and further experience. As validation, interviews place journalists and information technology professionals in a complimentary discussion. The code's potential to impact the journalistic process is evaluated in practice, and considering the existing state of the art, it analyses how journalistic programming code creates dynamics in news organisations. We aim to eliminate gaps and distances in the current journalism scenario.

Keywords: automated journalism; sports journalism; computer-generated works; synthetic media; cooperation; ethnographic; AI-powered journalism; NLP; natural language programming; AI ethics.

DOI: 10.1504/IJITCC.2024.145814

International Journal of Information Technology, Communications and Convergence, 2024 Vol.4 No.3, pp.287 - 305

Received: 08 Nov 2023
Accepted: 17 Jul 2024
Published online: 25 Apr 2025 *

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