Data Science across Academia, Industry, and Progressive Campaigns, with Dr. Solomon Messing
Dr. Solomon Messing, 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.
Audio is streamed directly from the publisher (dts.podtrac.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Dr. Solomon Messing, 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, and the Facebook URLs Dataset Codebook.