Jul 1, 2024 | Featured, News, PennMAP
PIK Professor Duncan Watts and colleagues have developed the Media Bias Detector, which uses artificial intelligence to analyze news articles, examining factors like tone, partisan lean, and fact selection. (Image: Tero Vesalainen) The 2024 U.S. presidential debates...
Jul 1, 2024 | Featured, News, PennMAP
A new study from the Computational Social Science Lab shows that while online misinformation exists, it isn’t as pervasive as pundits and the press suggest. In 2006, Facebook launched its News Feed feature, sparking seemingly endless contentious public discourse on...
Jun 25, 2024 | Featured, News, PennMAP
The CSSLab’s Media Bias Detector empowers users to analyze bias in major news outlets, not just based on the outlets’ political leaning, but on the topics they choose to cover. (Maria Vonotna via Getty Images) Every day, American news outlets collectively publish...
Jun 10, 2024 | News, PennMAP, Projects
New data visualizations from the Computational Social Science Lab show how Americans consume news. With political polarization in the American public at a record high, determining where Americans get their political news is crucial to making sense of the impact of...
Jun 10, 2024 | Featured, News, PennMAP
The Computational Social Sciences Lab’s (CSSLab) new dashboard, Mapping the (Political) Information Ecosystem, is a set of four data visualizations that highlight Americans’ media consumption habits, with a focus on echo chambers and the news. This is the second of a...
