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Perception of Artificial Intelligence on the News Industry: A Study of Aljazeera Network

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submitted on 2024-10-29, 09:04 and posted on 2024-10-30, 08:02 authored by Jana Muslimani
This study aims to examine the perceptions of the news industry on artificial intelligence utilizing Aljazeera as a case study. Literature reported that studies on A.I. in the context of the news industry are scarce; therefore, exploratory and qualitative research approaches were used to study this phenomenon in greater detail. The data were collected through four in-depth interviews coupled with a survey. The interview participants were carefully selected to understand the research topic comprehensively. Different perspectives were sought: a professor and a decision-maker with a broad vision and plan for the future of artificial intelligence, an expert in A.I. models providing a technical perspective, a journalist and an academic at the same time, and an Aljazeera producer working with A.I. models. A structured five-point Likert Scale questionnaire was completed by 33 respondents working at Aljazeera media network. This study used descriptive statistics to extract information from the collected data. Descriptive statistics reported that 91% of respondents believe that A.I is less biased compared to humans. The results further revealed that the majority (62.5%) of respondents showed disagreement that A.I might replace humans in the newsroom for writing articles. Moreover, 66% of respondents believe A.I will increase the unemployment rate in the news industry because of replacing humans. Most respondents showed disagreement that A.I will comply with the journalism ethics, with only 21% agreeing.

History

Language

  • English

Publication Year

  • 2022

License statement

© The author. The author has granted HBKU and Qatar Foundation a non-exclusive, worldwide, perpetual, irrevocable, royalty-free license to reproduce, display and distribute the manuscript in whole or in part in any form to be posted in digital or print format and made available to the public at no charge. Unless otherwise specified in the copyright statement or the metadata, all rights are reserved by the copyright holder. For permission to reuse content, please contact the author.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Humanities and Social Sciences - HBKU

Degree Date

  • 2022

Degree Type

  • Master's

Advisors

Owen Jones Marc

Committee Members

Wajdi Zaghouani ; Rashid Yahiouai

Department/Program

College of Humanities and Social Sciences

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    College of Humanities and Social Sciences - HBKU

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