Researchers at the Computational Social Science Lab have developed the Media Bias Detector, which uses artificial intelligence to analyze news articles, examining factors like tone, partisan lean, and fact selection.
Annenberg Public Policy Center Director Kathleen Hall Jamieson discusses the Annenberg Debate Reform Working Group along with some thoughts on last week’s presidential debate
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.
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.
A recent study from the Annenberg Public Policy Center found that people who consume far-right media were less likely to believe in human-caused climate change, while those who read centrist and science media were more likely to believe in it and support a carbon tax.
Research from the Computational Social Science Lab finds that factual, vaccine-skeptical content on Facebook has a greater overall effect than “fake news,” discouraging millions from the COVID-19 shot.
If current plans are carried out, three of the Annenberg Public Policy Center's Debate Reform Working Group recommendations to increase the value and viewership of presidential debates will be implemented in 2024.
