1.

Record Nr.

UNINA9910725060103321

Autore

van Dalen Arjen

Titolo

Algorithmic Gatekeeping for Professional Communicators : Power, Trust, and Legitimacy

Pubbl/distr/stampa

2023

Milton : , : Taylor & Francis Group, , 2023

©2023

ISBN

9781000912777

1000912779

9781003375258

1003375251

9781000912791

1000912795

Edizione

[1 ed.]

Descrizione fisica

1 online resource (97 pages)

Collana

Disruptions Series

Classificazione

LAN004000LAN008000

Disciplina

302.23/1

Soggetti

Algorithms

Social media and journalism

Filter bubbles (Information filtering)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Algorithm aversion -- The mediating power of algorithms -- Structuring power -- Algorithmic power, trust and legitimacy.

Sommario/riassunto

"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"