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Recognize the bias? News media partisanship shapes the coverage of facial recognition technology in the United States
New Media & Society ( IF 4.5 ) Pub Date : 2022-06-03 , DOI: 10.1177/14614448221090916
Sonia Jawaid Shaikh 1 , Rachel E. Moran 2
Affiliation  

Media exists as the primary route through which the public learns about new technologies and thus plays an important role in shaping public sentiments. This article examines the influence of news media partisanship on the coverage of the controversial artificial intelligence (AI) technology facial recognition. A mixed-methods content analysis of news articles (N = 451) from 23 US-based news outlets highlights the emergence of several frames in coverage of facial recognition pertaining to issues of privacy and surveillance, bias, technology’s ability to provide solutions, and its problematic development and implementation. Coverage was differentiated by partisanship, whereby left-leaning media focused more on ethical problems associated with the technology compared to their right-leaning peers who highlighted its abuses by foreign governments. Right-leaning media also referred more to technology’s positive uses, such as helping law enforcement, compared to left-leaning media. Finally, AI companies were the most dominant suppliers of information to the media regarding the technology.

中文翻译:

承认偏见?新闻媒体党派关系塑造了美国面部识别技术的报道

媒体作为公众了解新技术的主要途径而存在,因此在塑造公众情绪方面发挥着重要作用。本文探讨了新闻媒体党派偏见对有争议的人工智能 (AI) 技术面部识别的报道的影响。新闻文章的混合方法内容分析(N= 451) 来自 23 家美国新闻媒体的报道强调了面部识别报道中出现了几个框架,这些框架涉及隐私和监视、偏见、技术提供解决方案的能力以及其有问题的开发和实施等问题。报道因党派差异而有所区别,与强调外国政府滥用技术的右倾媒体相比,左倾媒体更多地关注与技术相关的道德问题。与左倾媒体相比,右倾媒体也更多地提到了技术的积极用途,例如帮助执法。最后,人工智能公司是向媒体提供该技术信息的最主要供应商。
更新日期:2022-06-05
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