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Peer-Reviewed Journal Articles
Brady, W.J. & Crockett, M.J. (2019). How effective is online outrage? Trends in Cognitive Sciences, 23(2), 79-80. [PDF]
Brady, W.J., Wills, J.A., Burkart, D., Jost, J.T. & Van Bavel, J.J. (2018). An Ideological asymmetry in the diffusion of moralized content among political leaders. Journal of Experimental Psychology: General. [PDF] [Data + Code]
Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A. & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313-7318. [PDF] [Data + Code]
Van Bavel, J. J., Mende-Siedlecki, P., Brady, W. J., & Reinero, D. A. (2016). Reply to Inbar: Contextual sensitivity helps explain the reproducibility gap between social and cognitive psychology. Proceedings of the National Academy of Sciences, 113(34), E4935. [PDF] [Data + Code]
Van Bavel, J.J., Mende-Sedlecki, P., Brady, W.J., & Reinero, D. (2016). Contextual sensitivity in scientific reproducibility. Proceedings of the National Academy of Sciences. 113(23), 6454-6459. [PDF] [Data + Code]
Sheppes, G, Brady, W.J., & Samson, A. (2014). In (visual) Search for a New Distraction: The Efficiency of a Novel Attentional Deployment Versus Semantic Meaning Regulation Strategies. Frontiers in Psychology (5)346. [PDF]
Under Review and On-Going Projects
Landy, J.F., Jia, M., Ding, L., Viganola, D. Tierney, W, Brady, W.J., . . . Uhlmann, E.L. (R & R - Psychological Bulletin). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
Brady, W.J. & Van Bavel, J.J. (under review). The MAD Model of Moral Contagion: The role of motivation, attention and design in the spread of moralized content online. [PDF Preprint]
Brady, W.J., Periera, A., & Van Bavel, J.J. (data collection on-going). The role of social identity in the spread of moralized content online. [OSF pre-registration]
Brady, W.J., McLoughlin, K., & Crockett, M.J. (data collection on-going). Detecting moral outrage on social media with supervised learning classification.