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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References
Berger, G.: Is there a future for Journalism? Journal. Pract. 12(8), 939–953 (2018). https://doi.org/10.1080/17512786.2018.1516117
Boczkowski, P.J., Mitchelstein, E.: Scholarship in online journalism: Roads traveled and pathways ahead. In: Boczkowski, P.J., Anderson, C.W. (eds.) Remaking the news, pp. 15–26. The MIT Press, Cambridge, Essays on the Future of Journalism Scholarship in the Digital Age (2017)
Bughin, J., Hazan, E., Lund, S., Dahlström, P., Wiesinger, A., Subramaniam, A.: Skill Shift: Automation and the Future of the Workforce. McKinsey & Company, New York (2018)
Calvo, L.M., Ufarte, M.J.: Artificial intelligence and journalism: Systematic review of scientific production in Web of Science and Scopus (2008–2019). Commun. Soc. 34(2):159–176 (2021). https://doi.org/10.15581/003.34.2.159-176
Chan, S.P.: The future of journalism. The Aspen Institute (2017). Available at https://bit.ly/3uGKzzO. Accessed 16 Jan 2021
Council for Mass Media.: Statement on marking news automation and personalization. Julkisen sanan neuvosto (2020). Available at https://bit.ly/2Q6Y0dl. Accessed 14 March 2021
Diakopoulos, N.: Algorithmic accountability: journalistic investigation of computational power structures. Digit. Journal. 3(3), 398–415 (2015). https://doi.org/10.1080/21670811.2014.976411
Diakopoulos, N., Koliska, M.: Algorithmic transparency in the news media. Digit. Journal. 5(7), 809–828 (2016). https://doi.org/10.1080/21670811.2016.1208053
Dimitrov, R.: Do social media spell the end of journalism as a profession? Glob. Media J. 8(1), 1–16 (2014)
Doherti, S.: Journalism Design. Interactive Technologies and the Future of Storytelling. Routledge Focus, London (2018)
Fleischmann, K., Wallace, W.: Value conflicts in computational modeling. Computer 43(7), 57–63 (2010). https://doi.org/10.1109/MC.2010.120
Haapanen, L.: Media councils and self-regulation in the emerging era of news automation. Julkisen sanan neuvosto (2020). Available at https://bit.ly/3tEHGON. Accessed 14 Mar 2021
Harrower, N., Heravi, B.: How to archive an event: reflections on the social repository of Ireland. New Rev. Inf. Netw. 20(1–2), 104–116 (2015). https://doi.org/10.1080/13614576.2015.111632
Heravi, B., Boran, M., Breslin, J.: Towards Social Semantic Journalism. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 6(1) (2012)
Heravi, B., Harige, R., Stasiewicz, A., Torres-Tramon, P.: Social Semantic Journalism in action: RTÉ News360. In: 11th International Conference on Social Media & Society, 11–13 July, London (2016)
Heravi, B.R., McGinnis, J.: A framework for Social Semantic Journalism. In: Proceedings of the 7th International AAAI Conference on Web and Social Media. AAAI, Cambridge, pp. 13–18 (2013)
Heravi, B.R., McGinnis, J.: Introducing social semantic journalism. J. Media Innov. 1(2), 131–140 (2015). https://doi.org/10.5617/jmi.v2i1.868
Heravi, B.R., Morrison, D., Khare, P., Marchand-Maillet, S.: Where is the news breaking? Towards a location-based event detection framework for journalists. In: Gurrin, C., et al. (eds.) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science 8326. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-04117-9_18
Heravi, B., Salawdeh, I.: Tweet location detection. In: Proceedings of Computational + Journalism Symposium (2015). Available at https://bit.ly/3uEVERY. Accessed 20 Apr 2021
Hermida, A., Young, M.L.: Journalism innovation in a time of survival. In: Luengo, M., Herrera, S. (eds.) News Media Innovation Reconsidered. Wiley Blackwell, Hoboken, pp. 40–52 (2021)
Khare, P., Heravi, B.: Towards social event detection and contextualisation for journalists. In: Proceedings of the AHA! Workshop on Information Discovery in Text. ACL, Dublin, pp. 54–59 (2014)
Khare, P., Torres-Tramón, P., Heravi, B.: What just happened? A framework for social event detection and contextualisation. In: 48th Hawaii International Conference on System Sciences. IEEE, Kauai, pp. 1565–1574 (2015). https://doi.org/10.1109/HICSS.2015.190
Marconi, F.: Newsmakers: Artificial Intelligence and the Future of Journalism. Columbia University Press, New York (2020)
Mills, J., Wagemans, A.: Media labs: constructing journalism laboratories, innovating the future. Convergence, Online First. (2021). https://doi.org/10.1177/1354856521994453
Newman, N., Fletcher, R., Schulz, A., Andı, S., Nielsen, R.K.: Digital News Report 2020. Reuters Institute for the Study of Journalism, Oxford (2020)
Palomo, B., Palau, D.: El periodista adaptativo. Consultores y directores de innovación analizan las cualidades del profesional de la comunicación. El Profesional de la Información 25(2), 188–195 (2016). https://doi.org/10.3145/epi.2016.mar.05
Quackenbush, C.: Collaboration is the future of journalism. Nieman Reports (2020). Available at https://bit.ly/33vyLol. Accessed 10 Mar 2020
Rosenberg, M., Confessore, N., Cadwalladr, C.: How Trump consultants exploited the Facebook data of millions. The New York Times (2018). Available at https://nyti.ms/2R1MLnf. Accessed 22 Apr 2021
Salawdeh, I., Heravi, B., Harrower, N.: Social repository of Ireland: Collecting & archiving event-based social media. In: 11th International Conference on Social Media & Society, 11–13 Jul, London (2016)
Stray, J.: Making artificial intelligence work for investigative journalism. Digit. Journal. 7(8), 1076–1097 (2019). https://doi.org/10.1080/21670811.2019.1630289
Sunstein, C.R.: Republic.com. Princeton University Press, Princeton (2001)
Sunstein, C.R.: #Republic: Divided Democracy in the Age of Social Media. Princeton University Press, Princeton (2017)
Taylor, A., Heinonen, S., Ruotsalaien, J., Parkkinen, M.: Highlighting Media & Journalism Futures 2030. Finland Futures Research Centre, Turku (2015)
Torres-Tramón, P., Hromic, H., Heravi, B.R.: Topic detection in Twitter using topology data analysis. In: Daniel, F., Diaz, O. (eds.) Current Trends in Web Engineering. ICWE 2015. Lecture Notes in Computer Science 9396. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24800-4_16
Torres-Tramón, P., Hromic, H., Walsh, B., Heravi, B., Hayes, C.: Kanopy4Tweets: Entity extraction and linking for Twitter. In: Dadzie, A.-S., et al. (eds) #Microposts2016 6th Workshop on Making Sense of Microposts @WWW2016. CEUR, Montréal, pp. 64–66 (2016)
Túñez, J.M., Toural, C., Cacheiro, S.: Uso de bots y algoritmos para automatizar la redacción de noticias: percepción y actitudes de los periodistas en España. El Profesional de la Información 27(4), 750–758 (2018). https://doi.org/10.3145/epi.2018.jul.04
Vogels, E.A., Rainie, L., Anderson, J.: Experts predict more digital innovation by 2030 aimed at enhancing democracy. Pew Research Center (2020). Available at https://pewrsr.ch/2RdYqiy. Accessed 15 Mar 2021
Whittaker, J.: Tech Giants, Artificial Intelligence, and the Future of Journalism. Routledge, New York (2019)
Wang, S.: The New York times built a Slack bot to help decide which stories to post to social media. NiemanLab (2015). Available at https://bit.ly/3hizKjO. Accessed 15 Mar 2021
Wong, J.C.: The Cambridge Analytica scandal changed the world—but it didn’t change Facebook. The Guardian (2019). Available at https://bit.ly/3f3WcKI. Accessed 16 Mar 2021
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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Palomo, B., Heravi, B., Masip, P. (2022). Horizon 2030 in Journalism: A Predictable Future Starring AI?. In: Vázquez-Herrero, J., Silva-RodrÃguez, A., Negreira-Rey, MC., Toural-Bran, C., López-GarcÃa, 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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