Now showing items 1-6 of 6

    • Computational Social Science 

      Lazer, David M.; Pentland, Alex; Adamic, Lada; Aral, Sinan; Barabási, Albert-László; Brewer, Devon; Christakis, Nicholas Alexander; Contractor, Noshir; Fowler, James; Gutmann, Myron; Jebara, Tony; King, Gary; Macy, Michael; Roy, Deb; Van Alstyne, Marshall (American Association for the Advancement of Science, 2009)
      A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors.
    • Google Flu Trends Still Appears Sick: An Evaluation of the 2013-2014 Flu Season 

      Lazer, David M.; Kennedy, Ryan; King, Gary; Vespignani, Alessandro (Social Science Electronic Publishing, 2014)
      In response to its poor performance during the 2012-2013 flu season, Google Flu Trends (GFT) engineers announced a redesign of the GFT algorithm. Two changes were made: (1) dampening anomalous media spikes and (2) using ...
    • Machine Behaviour 

      Cebrian Ramos, Manuel; Christakis, Nicholas A.; Couzin, Iain D.; Jackson, Matthew O.; Jennings, Nicholas R.; Kamar, Ece; Kloumann, Isabel M.; Larochelle, Hugo; Lazer, David; McElreath, Richard; Mislove, Alan; Parkes, David; Pentland, Alex ‘Sandy’; Roberts, Margaret E.; Shariff, Azim; Tenenbaum, Joshua B.; Wellman, Michael; Rahwan, Iyad; Obradovich, Nick; Bongard, Josh; Bonnefon, Jean-François; Breazeal, Cynthia; Crandall, Jacob (Springer Science and Business Media LLC, 2019-04)
      Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to ...
    • Networks, Hierarchies, and Markets: Aggregating Collective Problem Solving in Social Systems 

      Lazer, David; Mergel, Ines; Ziniel, Curt; Neblo, Michael (John F. Kennedy School of Government, Harvard University, 2009)
      How do decentralized systems collectively solve problems? Here we explore the interplay among three canonical forms of collective organization—markets, networks, and hierarchies—in aggregating decentralized problem solving. ...
    • The Parable of Google Flu: Traps in Big Data Analysis 

      Lazer, David M.; Kennedy, R.; King, Gary; Vespignani, A. (American Association for the Advancement of Science (AAAS), 2014)
      Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data. In February 2013, Google Flu Trends (GFT) made headlines but not for a reason that Google executives or the creators of ...
    • The Science of Fake News 

      Lazer, David; Baum, Matthew; Benkler, Yochai; Berinsky, Adam; Greenhill, Kelly; Menczer, Filippo; Metzger, Miriam; Nyhan, Brendan; Pennycook, Gordon; Rothschild, David; Schudson, Michael; Sloman, Steven; Sunstein, Cass; Thorson, Emily; Watts, Duncan; Zittrain, Jonathan
      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 ...