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Solomon Messing

Solomon Messing is a researcher and data scientist known for his work on how algorithms and social information embedded in new technologies affect the way people understand the political world. He was the founding Director of Pew Research Center's Data Labs, research scientist at Facebook and Twitter, chief scientist at Acronym, and is now Research Associate Professor at New York University.

Most cited peer-reviewed journal articles
• Bakshy E, Messing S, Adamic LA. Exposure to ideologically diverse news and opinion on Facebook. Science. 2015 Jun 5;348(6239):1130-2. cited 2441 times in Google Scholar • Messing S, Westwood SJ. Selective exposure in the age of social media: Endorsements trump partisan source affiliation when selecting news online. Communication Research. 2014 Dec;41(8):1042-63. cited 925 times in Google Scholar • Grimmer J, Messing S, Westwood SJ. How words and money cultivate a personal vote: The effect of legislator credit claiming on constituent credit allocation' American Political Science Review. 2012 Nov;106(4):703-19.cited 311 times in Google Scholar • Bond R, Messing S. Quantifying social media’s political space: Estimating ideology from publicly revealed preferences on Facebook. American Political Science Review. 2015 Feb;109(1):62-78. cited 182 times in Google Scholar == References ==
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