The challenge of generative artificial intelligence for future communication professionals: Experiences and usability

Sonia Blanco, María Sánchez González, Francisco Marcos Martín-Martín and Hada M. Sánchez Gonzales

Telecommunications Policy, 2026, vol. 50, issue 1

Abstract: This paper explores the interaction of undergraduates with generative artificial intelligence (genAI) tools applied to journalism, analysing their usability and user perception. Using an experimental approach, a user test was conducted with journalism undergraduates at the University of Malaga, evaluating generative text, image and video tools. Data were collected through questionnaires, recordings and direct observation to assess performance and perceptions. Although the tools showed potential for innovation and usefulness, participants made mistakes, mainly linked to the elaboration of prompts and follow-up of instructions. Pikaso and Gemini stood out in terms of satisfaction, while Visla presented technical challenges. The difficulties identified show deficiencies in digital skills and reading comprehension, highlighting the need for specific training. Similarly, users' limited experience and familiarity with the tools negatively impact their interaction, underlining the relevance of incorporating tutorials and practical guides to facilitate their use and understanding. Incorporating more intuitive tools and strengthening genAI training would contribute to optimising the use of these technologies in journalism, although improving the usability and accessibility of these technologies is key to their integration into the professional sphere.

Keywords: Digital literacy; User experience; GenAI; Generative artificial intelligence; Journalism; Usability (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1016/j.telpol.2025.103083

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