首页|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)
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)
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NETL
NSTL
Taylor & Francis
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.”
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesGeneticsMachine LearningNorthwestern University
NETL
NSTL
Taylor & Francis
