Artificial Intelligence of the News Industry: Rebirth after Destruction

  • Qianchao Zhou The University of Melbourne
Keywords: Artificial Intelligence (AI); Journalists; News industry

Abstract

Artificial Intelligence (AI) is transforming the news industry, promoting journalists with genuine insight. This shift enhances professional and ethical standards, despite causing initial unemployment. Historically, journalism attracted individuals seeking job security or career advancement, leading to skill disparities and diminished quality. AI addresses these issues by automating repetitive tasks, allowing journalists to focus on substantive reporting. Companies like News Republic and RADAR exemplify AI's role in news curation and generation, with human editors ensuring content credibility. This collaboration improves the efficiency and depth of news reporting. AI has also created new specialized roles in journalism, further professionalizing the field. Globally, AI democratizes access to timely and accurate news, benefiting underdeveloped regions by bridging language barriers and standardizing writing. This shift enhances the social status and remuneration of journalists and promotes fairness and objectivity in news reporting. This essay expounded AI's integration into journalism leads to higher efficiency, professionalism, and inclusivity, marking a significant step forward in the news industry's evolution.

References

[1] Anderson, C. (2012). Towards a sociology of computational and algorithmic journalism. New Media &

Society, 15(7), pp.1005–1021. doi: https://doi.org/10.1177/1461444812465137.

[2] Örnebring, H. (2020). A social history of precarity in journalism: Penny-a-liners, Bohemians and larrikins.

Australian Journalism Review, 42(2), pp.191–206. doi: https://doi.org/10.1386/ajr_00035_1.

[3] ASPINALL, A. (1945). The Social Status of Journalists at the Beginning of the Nineteenth Century. The

Review of English Studies, os-XXI (83), pp.216–232. doi: https://doi.org/10.1093/res/os-xxi.83.216.

[4] Allen, G., Craft, S., Waddell, C. and Lynn, M. (n.d.). New Directions in Journalism Education TOWA D R

2020 research centre Journalism.

[5] Redacción (2022). ¿Cómo está cambiando la IA la manera de informar? [online] Esglobal. Available at:

https://www.esglobal.org/como-esta-cambiando-la-ia-la-manera-de-informar.

[6] Ruiz, U., José, F. and Túñez, M. (2023). Use of artificial intelligence in synthetic media: first newsrooms

without journalists. Profesional De La Informacion, 32(2). doi: https://doi.org/10.3145/epi.2023.mar.03.

[7] Cohen, S., Hamilton, J.T. and Turner, F. (2011). Computational journalism. Communications of the ACM,

54(10), p.66. doi: https://doi.org/10.1145/2001269.2001288.

[8] Sixto-García, J., Rodríguez-Vázquez, A.-I. and López-García, X. (2021). Sistemas de verificación en

medios nativos digitales e implicación de la audiencia en la lucha contra la desinformación en el modelo

ibérico. Revista de Comunicación de la SEECI, pp.41–61. doi: https://doi.org/10.15198/seeci.2021.54.e738.

[9] Riedl, M.O. (2019). Human‐centered artificial intelligence and machine learning. Human Behavior and

Emerging Technologies, 1(1), pp.33–36. doi: https://doi.org/10.1002/hbe2.117.

[10] Nilsson, P. (2019). El periodismo tradicional está en peligro de extinción. [online] Milenio. Available at:

https://www.milenio.com/negocios/el-periodismo-tradicional-esta-en-peligro-de-extincion.

[11] (2017). Reuters News Tracer. [online] Reuters News Agency. Available at:

https://www.reutersagency.com/en/reuters-community/reuters-news-tracer-filtering-through-the-noise-ofsocial-media/ [Accessed 25 May 2021].

Published
2024-06-27
Section
Articles