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Publications

Publications

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  • All HBS Web  (47)
    • Faculty Publications  (4)

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    • All HBS Web  (47)
      • Faculty Publications  (4)

      Model PersuasionRemove Model Persuasion →

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      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • January 2023
      • Article

      The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance

      By: Goran Calic, Rene Arseneault and Maryam Ghasemaghaei
      In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive... View Details
      Keywords: Crowdfunding; Communication Strategy; Entrepreneurial Finance; Behavior
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      Calic, Goran, Rene Arseneault, and Maryam Ghasemaghaei. "The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance." Journal of Business Ethics 182, no. 3 (January 2023): 875–896.
      • January 2021
      • Article

      Using Models to Persuade

      By: Joshua Schwartzstein and Adi Sunderam
      We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
      Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
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      Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
      • Article

      Coarse Thinking and Persuasion

      By: Sendhil Mullainathan, Joshua Schwartzstein and Andrei Shleifer
      We present a model of uninformative persuasion in which individuals "think coarsely": they group situations into categories and apply the same model of inference to all situations within a category. Coarse thinking exhibits two features that persuaders take advantage... View Details
      Keywords: Cognition and Thinking; Brands and Branding
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      Mullainathan, Sendhil, Joshua Schwartzstein, and Andrei Shleifer. "Coarse Thinking and Persuasion." Quarterly Journal of Economics 123, no. 2 (May 2008): 577–619.
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