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Saudi Journalists Employing Artificial Intelligence Algorithms to Detect Fake News |
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PP: 877-896 |
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doi:10.18576/jsap/120302
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Author(s) |
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S. O. Shehata,
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Abstract |
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| The study aimed at quantitative monitoring and qualitative interpretation of the perceptions and attitudes of Saudi journalists, who are the study sample, towards the use of artificial intelligence algorithms in detecting false news. Saudi artificial intelligence algorithms rely on detecting false news, based on the media survey approach, both quantitative and qualitative, through the questionnaire tool to survey a sample of (35) Saudi journalists working in journalistic news sites in the Eastern Province. The study concluded, through what was confirmed by "Rogers" in the theory of the spread of new ideas, and what was concluded by "Davis" in the technology acceptance model, in the variation of expected reactions towards the introduction and use of technology in institutions. , that the spread and application of artificial intelligence algorithms in detecting false news depends on the extent of journalists awareness of these algorithms, their conviction in them, and the extent of their awareness of their benefits and advantages, and their need and use. And the need for international press institutions to keep up with and follow the successive developments in the use of these algorithms in detecting false news, in addition to the existence of some obstacles to their use, such as the lack of incentive methods for using these algorithms. Algorithms, the high cost of obtaining such software and the poor skills of journalists. The proportions of the respondents proposals converged to enhance the benefit from the need to provide the necessary technical infrastructure in all press institutions, benefit from global experiences, maximize the resources of press institutions, and establish clear policies for working using technologies that preserve property. Also take advantage of online self-learning resources.
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