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Information Quality in Latin American Digital Native Media: Analysis Based on Structured Dimensions and Indicators

Author

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  • Claudia Rodríguez-Hidalgo

    (Department of Communication Sciences, Universidad Técnica Particular de Loja, Ecuador)

  • Diana Rivera-Rogel

    (Department of Communication Sciences, Universidad Técnica Particular de Loja, Ecuador)

  • Luis M. Romero-Rodríguez

    (Department of Communication Sciences and Sociology, Rey Juan Carlos University, Spain / ESAI Business School, Espiritu Santo University, Ecuador)

Abstract

The current communicative ecosystem has profoundly transformed journalistic work and the media, generating with great eagerness the emergence of digital native media that do not follow the logic of their conventional peers. Although the advent of these media is not entirely negative, as they create multiple voices that contribute to pluralism, their quality has undoubtedly been questioned on several academic fronts. This work analyzes the most important Latin American digital native media by number of accesses (traffic), using a taxonomy of evaluation of dimensions of the informative quality, in which aspects such as informative sources, uses of international news agencies, correction of contents and factuality levels, ideological plurality in their opinion contents, among others, are taken into consideration. Of the emerging results, the ‘use of statistical indicators’ was the least rated (32.5%), mainly due to a lack of data journalism in the media studied. It is also worth noting that the indicator ‘comments and monitoring’ obtained the second-lowest rating, indicating an absence of conversation between the media and its audience through the comments section of each content.

Suggested Citation

  • Claudia Rodríguez-Hidalgo & Diana Rivera-Rogel & Luis M. Romero-Rodríguez, 2020. "Information Quality in Latin American Digital Native Media: Analysis Based on Structured Dimensions and Indicators," Media and Communication, Cogitatio Press, vol. 8(2), pages 135-145.
    • Handle: RePEc:cog:meanco:v:8:y:2020:i:2:p:135-145
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    References listed on IDEAS

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    1. Michnik, Jerzy & Lo, Mei-Chen, 2009. "The assessment of the information quality with the aid of multiple criteria analysis," European Journal of Operational Research, Elsevier, vol. 195(3), pages 850-856, June.
    2. Jonathan Albright, 2017. "Welcome to the Era of Fake News," Media and Communication, Cogitatio Press, vol. 5(2), pages 87-89.
    3. Jens‐Erik Mai, 2013. "The quality and qualities of information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(4), pages 675-688, April.
    4. Jens-Erik Mai, 2013. "The quality and qualities of information," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(4), pages 675-688, April.
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    Cited by:

    1. Linards Udris & Mark Eisenegger & Daniel Vogler & Jörg Schneider & Andrea Häuptli, 2020. "Mapping and Explaining Media Quality: Insights from Switzerland’s Multilingual Media System," Media and Communication, Cogitatio Press, vol. 8(3), pages 258-269.
    2. Ramón Salaverría, 2020. "Exploring Digital Native News Media," Media and Communication, Cogitatio Press, vol. 8(2), pages 1-4.

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