How Generative AI Is Transforming Journalism: Development, Application and Ethics.

Journalism and Media 2024 Vol 5, N° 2. https://doi.org/10.3390/journalmedia5020039

Autor: 

1. Yi Shi, and Lin Sun; School of Government and Public Affairs, Communication University of China, Beijing 100024, China; 2021100503z9001@cuc.edu.cn. 

Keywords:  Generative artificial intelligence; news production; journalistic ethics; subjectivity; media accuracy.   

Abstract:Generative artificial intelligence (GAI) is a technology based on algorithms, models, etc., that creates content such as text, audio, images, videos, and code. GAI is deeply integrated into journalism as tools, platforms and systems. However, GAI’s role in journalism dilutes the power of media professionals, changes traditional news production and poses ethical questions. This study attempts to systematically answer these ethical questions in specific journalistic practices from the perspectives of journalistic professionalism and epistemology. Building on the review of GAI’s development and application, this study identifies the responsibilities of news organizations, journalists and audiences, ensuring that they realize the potential of GAI while adhering to journalism professionalism and universal human values to avoid negative technological effects.

Idioma: English. 

Publicación: 10 de mayo del 2024. 

Volumen: Journalism and Media 2024, 5(2), 582-594, 

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Quality Journalism in Social Media – What We Know and Where We Need to Dig Deeper

 

Journalism Studies 2024, VOL. 25, NO. 4, 399–420. https://doi.org/10.1080/1461670X.2024.2314204

Autor: 

1. Matthias Degen; Institute for Journalism and Public Relations, Westphalian University, Gelsenkirchen, Germany; matthias.degen@w-hs.de;  https://orcid.org/0000-0002-3533-8306
2. Max Olgemöller; Institute for Journalism and Public Relations, Westphalian University, Gelsenkirchen, Germany;  https://orcid.org/0000-0002-8388-3990 
3. Christian Zabel; a Schmalenbach School of Business Economics, TH Köln University of Applied Sciences, Cologne, Germany; christian.zabel@th-koeln.de;  https://orcid.org/0000-0002-4636-6679

Keywords: Journalism quality, digital quality journalism, social media journalism, social media literature review, journalistic roles, social media adaptation. 

Abstract: While research on journalism in social media is extensive and approaches the topic from different perspectives, the consideration of what contributes to quality journalism in social media is underdeveloped. Our paper addresses this by providing a comprehensive literature review of journalism research relating to aspects of quality in social media. Based on a systematic Scopus search, 54 peer-reviewed, English-language papers published between 2015 and 2022 were selected for in-depth textual analysis using MAXQDA. Two important takeaways emerge from the analysis. First, the literature suggests that journalists and media organizations adapt work routines, norms, and values in a context-sensitive manner when producing content for social media. By enabling many-to-many communication, social media platforms force journalists and media outlets to reflect on audience demands and to develop audience engagement strategies. Second, the findings underscore that journalistic social media activities diverge depending on how individual journalists and organizations approach journalistic quality in social media. As these findings are only pieces to the puzzle of what quality journalism in social media entails, we hope to encourage further research in this area. 

Idioma: Inglés.

Publicación: 06 de febrero del 2024.

Volumen: Journalism Studies 2024, VOL. 25, NO. 4, 399–420. 

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