Algorithmic Gatekeeping for Professional Communicators Power, Trust, and Legitimacy
This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media...
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| Médium: | E-kniha |
| Jazyk: | angličtina |
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United Kingdom
Taylor & Francis
2023
Routledge Taylor and Francis |
| Vydání: | 1 |
| Edice: | Disruptions |
| Témata: | |
| ISBN: | 9781000912777, 1000912779, 103245072X, 9781032450711, 1032450711, 9781032450728, 9781003375258, 1003375251, 9781000912791, 1000912795 |
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| Abstract | This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation and shape the behaviour of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around ""filter bubbles"" and ""echo chambers"" and shows how algorithmic power is situated in the interplay between platforms, audiences, and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward towards democratic algorithmic gatekeeping. Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. |
|---|---|
| AbstractList | This book provides a critical study of the power, trust and legitimacy of algorithmic gatekeepers.
The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation, and shape the behaviour of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around ‘filter bubbles’ and ‘echo chambers’ and shows how algorithmic power is situated in the interplay between platforms, audiences and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward towards democratic algorithmic gatekeeping.
Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields.
List of Figures
List of Tables
Acknowledgments
Chapter 1: Introduction
1.1 Algorithmic power
1.2 Conceptualizing algorithmic gatekeeping
1.3 Technological determinism, hard and weak
1.4 Theoretical considerations
1.5. Legitimacy and trust
1.6 Outline and Content of the Book
Chapter 2: Algorithm Aversion
2.1 Introduction
2.2 Making sense of news algorithms
2.3 Research questions
2.4 Method
2.5 Results
2.6 Conclusion
Chapter 3: The Mediating Power of Algorithms
3.1 Introduction
3.2 Misinformation and algorithms
3.3 YouTube and Autism Spectrum Disorder
3.4 The mediating power of YouTube’s algorithms
3.5 Research questions
3.6 Method
3.7 Results
3.8 Conclusion
Chapter 4: Structuring Power
4.1 Introduction
4.2 Influencers: politically relevant strategic actors
4.3 Algorithmic power
4.3 Research questions
4.4 Method
4.5 Results
4.6 Conclusion
Chapter 5: Algorithmic Power, Trust and Legitimacy
5.1 Algorithmic power
5.2 Algorithms, trust and legitimacy
5.3 Implications
References
Arjen van Dalen is Professor WSR at the Center for Journalism of the University of Southern Denmark. He wrote his PhD dissertation on Political Journalism in Comparative Perspective and is co-author of an award-winning book on this topic with Cambridge University PressHe published in journals such as Political Communication, Journalism, the International Journal of Press/Politics, and Public Opinion Quarterly. His research on algorithmic gatekeeping is funded by the Independent Research Fund Denmark and Carlsberg Foundation. This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation and shape the behavior of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around "filter bubbles" and "echo chambers" and shows how algorithmic power is situated in the interplay between platforms, audiences, and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward toward democratic algorithmic gatekeeping. Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields. This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation and shape the behaviour of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around "filter bubbles" and "echo chambers" and shows how algorithmic power is situated in the interplay between platforms, audiences, and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward towards democratic algorithmic gatekeeping. Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. |
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| Keywords | Algorithmic Mind Journalistic Gatekeeping Correcting Misinformation Guide Reactions media industries Social Media Platforms Qualitative Data Analysis Software Nvivo Algorithmic Aid Strict Algorithms Curing Autism Social Media Algorithms News Algorithms Machine Heuristic Human Journalists News Selection Danish Parliamentary Elections audience studies Influencers Credible Sources Filter Bubbles news Technological Deterministic View Instagram Users media accountability Algorithmic Power Automated Computer Systems Trusted News Media YouTube Present Autism media ethics People's Generalized Trust media trust YouTube's Algorithms |
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| Subtitle | Power, Trust, and Legitimacy |
| Title | Algorithmic Gatekeeping for Professional Communicators |
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