The Factuality of News on Twitter According to Digital Qualified Audiences: Expectations, Perceptions, and Divergences with Journalism Considerations
This research analyzes to what extent qualified digital audiences perceive, understand, and value the factuality of news published by news media within a communicative ecosystem where unverified information proliferates on social media. Additionally, it examines which factors may influence what high...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
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| Series: | Journalism and Media |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-5172/6/1/3 |
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| Summary: | This research analyzes to what extent qualified digital audiences perceive, understand, and value the factuality of news published by news media within a communicative ecosystem where unverified information proliferates on social media. Additionally, it examines which factors may influence what highly educated and critically capable information audiences expect to find when consuming journalism. A qualitative, comparative study was conducted from a sample obtained of the ten most relevant statements on socio-political topics with the highest number of interactions published on the Twitter (X) accounts of six European digital and legacy media (Médiapart and Le Monde, France; Tortoise and The Guardian, United Kingdom; El Diario.es and El País, Spain), along with their reflection and development on the respective websites. With an expanded analytical scope to 300 tweet-news items (<i>n</i> = 300), two in-person focus groups were held at the College of Europe in Natolin (Poland) with postgraduate students from nine countries to assess their perception of the degree of truthfulness, bias, quality, and credibility of the displayed information. The results indicate that young, qualified digital audiences feel secure and capable of detecting any disinformation disorder. They value the variety of mentioned and verifiable sources, the presence of expert voices, and data-based claims as key elements in constructing credible media narratives. |
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| ISSN: | 2673-5172 |