Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Muhammad Ittefaq , Ali Zain , Rauf Arif , Mohammad Ala-Uddin , Taufiq Ahmad , Azhar Iqbal
{"title":"Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries","authors":"Muhammad Ittefaq ,&nbsp;Ali Zain ,&nbsp;Rauf Arif ,&nbsp;Mohammad Ala-Uddin ,&nbsp;Taufiq Ahmad ,&nbsp;Azhar Iqbal","doi":"10.1016/j.tele.2024.102223","DOIUrl":null,"url":null,"abstract":"<div><div>This study examined the coverage of artificial intelligence (AI) in newspapers from 12 countries by analyzing news articles (<em>N</em> = 38,787) collected from 12 mainstream English newspapers, between 2010 and 2023. We used LDA topic modeling to identify prevalent frames in the news articles and SentiStrength to examine sentiments in the news headlines. Framing theory was applied in interpreting our results. Our analysis identified nine frames across newspapers: AI impacts on businesses, economy, and jobs (37.40 %), AI transformations in education and research (17.70 %), AI in national security and global partnerships (11.20 %), AI disruptions in media and creative industries (9.6 %), AI-based innovative solutions (7.30 %), AI regulations, ethics, and data privacy (6.40 %), AI competition and market dynamics in tech industries (4.90 %), AI in healthcare and climate change (3.47 %), and AI in politics, elections, and public opinion (2.03 %). A comparative analysis suggested that the Global North newspapers gave relatively lower coverage to AI-based innovative solutions and AI in healthcare and climate change while AI regulations, ethics, and data privacy and AI disruptions in media and creative industries received minimal coverage from the Global South newspapers. Our overall sentiment analysis indicated that 21.04 % of news headlines evoked negative, 13.33 % positive, and 65.63 % neutral sentiments. The Global North newspapers such as <em>The Guardian</em> and <em>The NYT</em> framed AI negatively in the 24 % of their news headlines, while the Global South newspapers such as <em>China Daily</em> and <em>Bangkok Post</em> framed AI positively in the 14.5 % of their news headlines.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102223"},"PeriodicalIF":7.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585324001278","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

This study examined the coverage of artificial intelligence (AI) in newspapers from 12 countries by analyzing news articles (N = 38,787) collected from 12 mainstream English newspapers, between 2010 and 2023. We used LDA topic modeling to identify prevalent frames in the news articles and SentiStrength to examine sentiments in the news headlines. Framing theory was applied in interpreting our results. Our analysis identified nine frames across newspapers: AI impacts on businesses, economy, and jobs (37.40 %), AI transformations in education and research (17.70 %), AI in national security and global partnerships (11.20 %), AI disruptions in media and creative industries (9.6 %), AI-based innovative solutions (7.30 %), AI regulations, ethics, and data privacy (6.40 %), AI competition and market dynamics in tech industries (4.90 %), AI in healthcare and climate change (3.47 %), and AI in politics, elections, and public opinion (2.03 %). A comparative analysis suggested that the Global North newspapers gave relatively lower coverage to AI-based innovative solutions and AI in healthcare and climate change while AI regulations, ethics, and data privacy and AI disruptions in media and creative industries received minimal coverage from the Global South newspapers. Our overall sentiment analysis indicated that 21.04 % of news headlines evoked negative, 13.33 % positive, and 65.63 % neutral sentiments. The Global North newspapers such as The Guardian and The NYT framed AI negatively in the 24 % of their news headlines, while the Global South newspapers such as China Daily and Bangkok Post framed AI positively in the 14.5 % of their news headlines.
全球新闻媒体对人工智能(AI)的报道:对12个国家的框架、情绪和趋势的比较分析
本研究通过分析2010年至2023年12家主流英语报纸上的新闻报道(N = 38787),对12个国家报纸上人工智能(AI)的报道进行了调查。我们使用LDA主题建模来识别新闻文章中的流行框架,并使用SentiStrength来检查新闻标题中的情绪。框架理论被用于解释我们的结果。我们的分析确定了报纸上的九种框架:人工智能对商业、经济和就业的影响(37.40%)、人工智能在教育和研究中的转变(17.70%)、人工智能在国家安全和全球伙伴关系中的影响(11.20%)、人工智能对媒体和创意产业的颠覆(9.6%)、基于人工智能的创新解决方案(7.30%)、人工智能法规、道德和数据隐私(6.40%)、人工智能在科技行业的竞争和市场动态(4.90%)、人工智能在医疗保健和气候变化(3.47%)、人工智能在政治、选举和公众舆论中的影响(2.03%)。对比分析表明,全球北方报纸对基于人工智能的创新解决方案和人工智能在医疗保健和气候变化方面的报道相对较低,而全球南方报纸对人工智能法规、伦理、数据隐私和人工智能在媒体和创意产业中的破坏的报道则很少。我们的整体情绪分析表明,21.04%的新闻标题引起负面情绪,13.33%的新闻标题引起正面情绪,65.63%的新闻标题引起中性情绪。《卫报》、《纽约时报》等全球北方报纸在24%的新闻标题中对人工智能进行了负面报道,而《中国日报》、《曼谷邮报》等全球南方报纸在14.5%的新闻标题中对人工智能进行了正面报道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信