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Complexity in online collective assessments: Implications for the wisdom of the crowd

Author

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  • Richet, Jean-Loup
  • Currás-Móstoles, Rosa
  • Martín, José María Martín

Abstract

This research investigates how the complex intertwining of multiple assessments influences the way in which scientific consensus and health policy are perceived. We identified an extreme case in France, with its divided political views on glyphosate, which enabled us to highlight unusual variations and develop a richer, more thorough understanding of cognitive biases and complex collective assessments related to health policy. Our sample comprised 51 articles from four major French online media outlets, 2944 user-generated comments (84,386 words), and 52,023 social audience metrics collected during the heated period following the glyphosate renewal decision made by the European Commission, from November 27, 2017, to December 04, 2017. Through a discourse analysis, we uncovered the media articles' discursive strategies. We also explored the embedded user-generated comments and analyzed collective assessments of glyphosate policy. Our primary contribution lies in developing an understanding of the mechanisms involved in collective assessments of health policy and research consensus. We explored the role played by emotional and moral assessments as antecedents to online polarization. We argue that the complex intertwining of rational, emotional and moral assessments influences how academic consensus is perceived. This research answers the call for more research on the health policy communication process and on the logic of controversy at the interface between politics and science.

Suggested Citation

  • Richet, Jean-Loup & Currás-Móstoles, Rosa & Martín, José María Martín, 2024. "Complexity in online collective assessments: Implications for the wisdom of the crowd," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523007539
    DOI: 10.1016/j.techfore.2023.123068
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