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Social Media and Politics· Folge 111

Data Science across Academia, Industry, and Progressive Campaigns, with Dr. Solomon Messing

Sonntag, 9. August 2020 · 40 min

MP3

Shownotes

Dr. Solomon Messing (solomonmg.github.io), Chief Scientist at ACRONYM and Affiliated Researcher at Georgetown University, shares his insights on data science across academia, the tech industry, and political campaigning space. We discuss how computational social science methods have changed over time, and how system architectures can be built to protect social media users' privacy. We also chat about current trends that Dr. Messing is observing at ACRONYM relating to the persuasiveness and cost of political ads on social media.
Here's the paper we discuss on differential privacy (arxiv.org/pdf/2002.04049.pdf), and the Facebook URLs Dataset Codebook (dataverse.harvard.edu/file.xhtml?persistentId=…).

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