1. Perceptions of data journalism and its impact on democratising Arab news media.
- Author
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Jebril, Nael and Altef, Safea
- Subjects
JOURNALISM ,ARTIFICIAL intelligence ,AUTOMATION ,DATA quality ,QUANTITATIVE research - Abstract
This study explores the perceptions of data journalism among specialised Arab audiences in the context of declining trust in media and government institutions. Through interviews with respondents from data-processing fields and NGOs, this study examines the perceived effectiveness of data journalism in informing audiences, its credibility compared to existing forms of journalism, and its potential and limitations in democratising the regional media environment. The findings revealed that the perceived effectiveness of data journalism lies in its ability to validate misleading information, provide direction for decision-making, and distinguish itself from common information found on social media or other public sites. This was achieved by offering context, presenting evidence, and supporting claims. However, data journalism is also viewed sceptically, as its perceived ability to inform audiences depends on context and audience. Moreover, the potential for data journalism to democratise the region's media environment faces constraints beyond the structural and individual limits highlighted in previous studies. It encompasses matters related to journalistic practice and integrity, impacting other forms of journalism in the region. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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