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  5. Horizon 2030 in Journalism: A Predictable Future Starring AI?
 
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Horizon 2030 in Journalism: A Predictable Future Starring AI?

Author(s)
Palomo, Bella  
Heravi, Bahareh R.  
Masip, Pere  
Uri
http://hdl.handle.net/10197/30822
Date Issued
2022-01-20
Date Available
2025-12-10T15:14:19Z
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
Type of Material
Book Chapter
Publisher
Springer
Series
Studies in Big Data
97
Copyright (Published Version)
2022 the Authors
Subjects

Artificial intelligen...

Journalism

Data journalism

Computational journal...

AI

DOI
10.1007/978-3-030-88028-6_20
Language
English
Status of Item
Peer reviewed
Journal
Vázquez-Herrero, J., Silva-Rodríguez, A., Negreira-Rey, M-C., Toural-Bran, C. and López-García, X. (eds.). Total Journalism: Models, Techniques and Challenges
ISBN
978-3-030-88027-9
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Horizon 2030 in Journalism Pre-print.pdf

Size

350.18 KB

Format

Adobe PDF

Checksum (MD5)

71f9f2542cb7530cda740776d78c590a

Owning collection
Information and Communication Studies Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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