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Horizon 2030 in Journalism: A Predictable Future Starring AI?

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Abstract

The future of journalism is more stable than we imagine. The search for innovative solutions always requires that we take a look back at the past, even if it is to address the opportunities and challenges posed by artificial intelligence in the realm of journalism. Computational algorithms are capable of streamlining such diverse tasks as content discovery, filtering, analysis, production, publishing or distribution, although the financial investment of implementation represents one of the main impediments and generates a visible divide in the present and future media system. Furthermore, the ethical dilemmas it incites will depend on the choices made by its creators, whose mixed profiles will be in high demand.

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Funding

This work was supported by the projects News consumption, social networks and pluralism in the hybrid media system (RTI2018-095775-B-C44) and The impact of disinformation on Journalism: Contents, professional routines and audiences (PID2019–108956RB-I00).

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Correspondence to Bella Palomo .

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Palomo, B., Heravi, B., Masip, P. (2022). Horizon 2030 in Journalism: A Predictable Future Starring AI?. In: Vázquez-Herrero, J., Silva-Rodríguez, A., Negreira-Rey, MC., Toural-Bran, C., López-García, X. (eds) Total Journalism. Studies in Big Data, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-88028-6_20

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