The Persuasive Power of Algorithmic and Crowdsourced Advice

  title={The Persuasive Power of Algorithmic and Crowdsourced Advice},
  author={J. Gunaratne and Lior Zalmanson and O. Nov},
  journal={Journal of Management Information Systems},
  pages={1092 - 1120}
Abstract Prior research has shown that both advice generated through algorithms and advice resulting from averaging peers’ input can impact users’ decision-making. However, it is not clear which advice type is more closely followed and if changes in decision-making should be attributed to the source or the content of the advice. We examine the effects of algorithmic and social advice on decision-making in the context of an online retirement saving system. By varying both the advice’s message… Expand
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