Examining Journalistic Practices in Online Newspapers in the Era of Artificial Intelligence

Marcelle A. Al Jwaniat, D. Tahat, Razan AlMomany, K. Tahat, M. Habes, A. Mansoori, Ihsan Maysari
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Abstract

This study aimed to determine the extent to which Jordanian journalists in digital newspapers are aware about artificial intelligence (AI) techniques in journalistic practices and to identify the most important applications, difficulties, and motives for employing AI from the perspectives of 59 journalists in Jordanian digital newspapers. An online questionnaire was used. The results were as follows: the weak reality of employing AI techniques in journalistic practices; few journalists know about the technologies sufficiently; and the most used systems in journalistic practices are photo and video verification techniques, followed by breaking news tracking techniques. The findings revealed that economic factors and the absence of technological infrastructure in press institutions are among the most important factors affecting the adoption of AI techniques in Jordanian digital newspapers. This study had some limitations that should be addressed in future studies.
人工智能时代网络报纸新闻实践研究
本研究旨在确定约旦数字报纸记者在新闻实践中对人工智能(AI)技术的了解程度,并从约旦数字报纸59名记者的角度确定使用人工智能的最重要应用、困难和动机。使用了一份在线问卷。结果如下:在新闻实践中使用人工智能技术的弱现实;很少有记者充分了解这些技术;在新闻实践中使用最多的系统是照片和视频验证技术,其次是突发新闻跟踪技术。调查结果显示,经济因素和新闻机构缺乏技术基础设施是影响约旦数字报纸采用人工智能技术的最重要因素。本研究存在一些局限性,应在今后的研究中加以解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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