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Understanding Data Journalism Acceptance Among Social TV Users: A Case Study of Twitter in the United Arab Emirates

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Business Intelligence (CBI 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 484 ))

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Abstract

Today Social TV users prefer data journalism for different reasons. One of the basic reasons behind this behaviour is audiences’ growing interest in transparent and detailed news reports. This research also examined the factors proposed by the Uses and Gratifications theory and the Technology Acceptance Model in the acceptance of data journalism among Emirati Social TV users. Data gathered from structured survey questionnaires were analyzed by using Structural Equation Modelling. Results showed that Information Sharing and Information Seeking are two significant factors linked to users’ gratifications. These gratifications, on the other hand, significantly affect their data journalism acceptance. Besides, the mediating effect of perceived usefulness also remained significant, indicating the expected useful outcomes are important determinants of their data journalism acceptance. UOG and TAM significantly predict data journalism acceptance among Emirati Social TV audiences. Thus, it is concluded that data journalism has become a valuable source of information for social TV users, providing detailed insights into complicated issues in an easily understandable and engaging format. Besides, perceived ease of use remains an important factor in social TV users’ acceptance of data journalism, as it contributes to their willingness to engage with this content. Thus, as the social TV audience evolves from Twitter users to other platforms, it is usefully integrated with data journalism.

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Authors and Affiliations

  1. College of Communication and Media, Al Ain University, Al Ain, United Arab Emirates

    Faycal Farhi & Riadh Jeljeli

  2. Media and Communications Department, Faculty of Humanities, King Khalid University, Abha, Saudi Arabia

    Abdullah Ali Al Marei

  3. College of Communication, University of Sharjah, Sharjah, United Arab Emirates

    Khaled Zamoum

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  1. Faycal Farhi
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  2. Riadh Jeljeli
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  3. Abdullah Ali Al Marei
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  4. Khaled Zamoum
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Correspondence to Faycal Farhi .

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Editors and Affiliations

  1. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Rachid El Ayachi

  2. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Mohamed Fakir

  3. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Mohamed Baslam

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Farhi, F., Jeljeli, R., Al Marei, A.A., Zamoum, K. (2023). Understanding Data Journalism Acceptance Among Social TV Users: A Case Study of Twitter in the United Arab Emirates. In: El Ayachi, R., Fakir, M., Baslam, M. (eds) Business Intelligence. CBI 2023. Lecture Notes in Business Information Processing, vol 484 . Springer, Cham. https://doi.org/10.1007/978-3-031-37872-0_14

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