人工智能驱动的洞察力对阿拉伯媒体的可持续发展目标的报道覆盖
Mohammed Alsuhaibani1, Kamel Gaanoun2, Ali Mustafa Qamar1
1Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia.
PeerJ. Computer science
|September 24, 2025
概括
阿拉伯媒体对联合国可持续发展目标 (SDGs) 的报道显示区域差异和与政府优先事项的总体一致. 这项研究为阿拉伯SDG话语提供了新的AI驱动的洞察力.
科学领域:
- 媒体研究 媒体研究
- 发展研究 发展研究 研究
- 人工智能的人工智能
背景情况:
- 关于联合国可持续发展目标 (SDGs) 的话语主要基于英语研究,忽视了阿拉伯媒体.
- 需要进行大规模分析,检查阿拉伯媒体如何与可持续发展目标互动,并与国家优先事项保持一致.
研究的目的:
- 分析阿拉伯媒体在过去十年与可持续发展目标的接触.
- 评估阿拉伯语国家媒体报道与官方政府优先事项之间的一致性.
- 为了弥补大规模,以阿拉伯语为重点的SDG话语分析的差距.
主要方法:
- 收集并处理了来自十个国家的120多万篇阿拉伯新闻文章 (2010-2024).
- 利用数据增强,深度学习 (变压器模型) 和大型语言模型 (LLM) 来训练分类器.
- 开发了AI分类器,以检测SDG引用,并根据特定的SDG对文章进行分类.
主要成果:
- 确定了可持续发展目标覆盖范围中的区域模式:北非专注于治理,海湾国家关注经济/环境主题.
- 发现媒体话语与官方可持续发展目标优先事项之间存在普遍一致,但有一些例外.
- 证明了人工智能方法在分析大规模阿拉伯媒体数据的有效性,用于SDG研究.
结论:
- 这项研究开创了在阿拉伯媒体中使用人工智能进行大规模的可持续发展目标分析.
- 调查结果为决策者,媒体专业人士和阿拉伯地区发展利益相关者提供了宝贵的见解.
- 强调人工智能有潜力弥合研究差距并为发展战略提供信息.
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