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Roselyn Du

Algorithmic Audience in the Age of Artificial Intelligence: Tailored Communication, Information Cocoons, Algorithmic Literacy, and News Literacy

Algorithmic Audience in the Age of Artificial Intelligence: Tailored Communication, Information Cocoons, Algorithmic Literacy, and News Literacy

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  • More about Algorithmic Audience in the Age of Artificial Intelligence: Tailored Communication, Information Cocoons, Algorithmic Literacy, and News Literacy


The book "Algorithmic Audience in the Age of Artificial Intelligence" examines the phenomenon of algorithmic news consumption and its implications for an empowered or rather (information-) cocooned public. It employs a mix-methods approach to explore tailored communication, customization, gatekeeping, agenda-resisting, algorithmic literacy, and news literacy from inter-related perspectives. The research aims to illuminate the renewed relationship between media and audience and the effects on users of algorithmic processes. The book is suitable for undergraduate-level courses and graduate-level courses with a focus on audience analysis in the age of artificial intelligence. It provides original research and insights into the impact of algorithmic news consumption on the news media business and participatory democracy.

Format: Paperback / softback
Length: 164 pages
Publication date: 23 February 2023
Publisher: Peter Lang Publishing Inc


The study of algorithmic audience behavior in the age of artificial intelligence employs a multi-faceted approach to examine and interpret the complex phenomenon of news consumption driven by algorithms. This research explores various perspectives, including tailored communication, customization, gatekeeping, agenda-resisting, algorithmic literacy, and news literacy. By examining these aspects, the study seeks to understand the implications of algorithmic news consumption for the public, particularly in terms of empowerment or information cocooning.

The research aims to shed light on the renewed relationship between media and audiences in the era of AI-powered news recommendation. It explores the user experience of consuming recommended news, analyzing the effects of algorithmic news consumption on audiences, raising awareness about the impact of such consumption, informing public, technocrats, and policy makers about its consequences, and guiding ethical decision-making and potential policy changes.

To achieve these objectives, the book employs an empirical investigation process. It examines algorithmic news consumption from a user perspective, dissecting the complex effects caused by this consumption. The volume provides a comprehensive analysis of the topic, making it suitable for undergraduate-level courses related to media literacy issues and graduate-level courses with a particular focus on audience analysis in the age of artificial intelligence. It can also serve as a valuable supplemental text for core courses in media/communication studies, such as Introduction to Communication, Current Issues in Communication, Communication Theory, and Communication Ethics.

The book's originality lies in its use of original research to both focus and expand our understanding of the ways in which algorithms shape news consumption. By combining theoretical insights with empirical evidence, the book offers a comprehensive and nuanced perspective on the topic, contributing to the growing body of knowledge on algorithmic audience behavior and its implications for society.

Weight: 258g
Dimension: 225 x 150 (mm)
ISBN-13: 9781433173592
Edition number: New ed

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