Robotics & Machine Learning Daily News2024,Issue(Feb.26) :34-34.DOI:10.1080/15205436.2023.2240314

Investigators from Northwestern University Target Machine Learning (Mapping the Media Genome: an Unsupervised Machine Learning Analysis of News Framing of Direct-to-consumer Genetic Testing Kits)

Robotics & Machine Learning Daily News2024,Issue(Feb.26) :34-34.DOI:10.1080/15205436.2023.2240314

Investigators from Northwestern University Target Machine Learning (Mapping the Media Genome: an Unsupervised Machine Learning Analysis of News Framing of Direct-to-consumer Genetic Testing Kits)

扫码查看

Abstract

Fresh data on Machine Learning are presented in a new report. According to news reporting from Chicago, Illinois, by NewsRx journalists, research stated, “Despite their heightening popularity and potential individual and societal implications, little scientific attention has been given to the news coverage of direct-to-consumer genetic testing (DTC-GT) kits (e.g. 23andMe, AncestryDNA, and MyHeritage). To accommodate, this study leverages the Analysis of Topic Model Networks to inductively develop a comprehensive overview of how major U.S. news media framed DTC-GT kits between 2009 and 2022, and then explicates the relationship of such coverage with kit sales between 2012 and 2019.” The news correspondents obtained a quote from the research from Northwestern University, “We find four frames through which the news media talk about the kits: Utility, Scientific, Political-Economic, and Commercial. Further, as kit sales increase over time, news media maintain a strong emphasis on the utility of kits in their coverage, but also increasingly promote kits through product reviews.”

Key words

Chicago/Illinois/United States/North and Central America/Cyborgs/Emerging Technologies/Genetics/Machine Learning/Northwestern University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量92
段落导航相关论文