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David Lazer is a University Distinguished Professor of Political Science and Computer Sciences, Northeastern University, and Co-Director, NULab for Digital Humanities and Computational Social Science. Prior to coming to Northeastern University, he was on the faculty at the Harvard Kennedy School (1998-2009). In 2019, he was elected a fellow to ...
Trump's kingmaking plan threatens GOP's Congress hopes in 2022. David Lazer, University Distinguished Professor of Political Science and Computer Sciences and Co-Director of NULab for Texts, Maps, and Networks, was interviewed by Bloomberg on the upcoming 2022 midterm elections and how the influence of the former President.
The parable of Google Flu: traps in big data analysis. D Lazer, R Kennedy, G King, A Vespignani. science 343 (6176), 1203-1205. , 2014. 3224. 2014. Inferring friendship network structure by using mobile phone data. N Eagle, A Pentland, D Lazer. Proceedings of the national academy of sciences 106 (36), 15274-15278.
David Lazer is a distinguished professor of political science and computer and information science at Northeastern University, as well as the co-director of the NULab of Texts, Maps, and Networks. Life
David Lazer. David Lazer is University Distinguished Professor of Political Science and Computer Sciences, Northeastern University. Prior to coming to Northeastern University, he was on the faculty at the Harvard Kennedy School (1998-2009). In 2019, he was elected a fellow to the National Academy of Public Administration.
The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age. Concern over the problem is global. However, much remains unknown regarding the vulnerabilities of individuals, institutions, and society to manipulations by malicious actors. A new system of safeguards is needed.
Publication date: 08/2023. Authors: Pranav Goel. David Lazer. Philip Resnik. Most prior and current research examining misinformation spread on social media focuses on reports published by 'fake' news sources. These approaches fail to capture another potential form of misinformation with a much larger audience: factual news from mainstream ...
