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Algorithms and Professionals May Disagree On Companies’ Reputations

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  • Lees, Jeffrey Martin

    (Clemson University)

Abstract

This work examines (dis)agreement between an algorithm and experienced professionals in their determinations of prominent companies’ reputations. 17 experienced professionals in the fields of reputation management, public relations, and CSR/ESG investing were asked to rate 25 companies across industries on eight dimensions of reputation (e.g., trust, social responsibility, exchange of benefits), yielding a total of 2,986 discrete reputational judgments. These ratings were on the same scale as an algorithm developed by a tech startup which uses real-time social media data to quantify the public reputation of companies, allowing for a direct examination of agreement between professionals and the algorithm. I found that professionals and the algorithm significantly disagreed on the reputation of the companies. When examined in tandem, the algorithm’s reputation ratings positively predicted market performance, while professionals’ reputation judgments negatively predicted market performance. The results contribute a detailed account of human-algorithm disagreement and the ways in which professionals’ subject reputational judgments may be at odds with algorithmic tools designed to quantify reputational information.

Suggested Citation

  • Lees, Jeffrey Martin, 2022. "Algorithms and Professionals May Disagree On Companies’ Reputations," OSF Preprints amwy4, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:amwy4
    DOI: 10.31219/osf.io/amwy4
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    References listed on IDEAS

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    1. Nofer, Michael & Hinz, Oliver, 2014. "Are Crowds on the Internet Wiser than Experts? The Case of a Stock Prediction Community," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69935, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Newman, David T. & Fast, Nathanael J. & Harmon, Derek J., 2020. "When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 149-167.
    3. Yuri Mishina & Emily S. Block & Michael J. Mannor, 2012. "The path dependence of organizational reputation: how social judgment influences assessments of capability and character," Strategic Management Journal, Wiley Blackwell, vol. 33(5), pages 459-477, May.
    4. Emiel Duuren & Auke Plantinga & Bert Scholtens, 2016. "ESG Integration and the Investment Management Process: Fundamental Investing Reinvented," Journal of Business Ethics, Springer, vol. 138(3), pages 525-533, October.
    5. Lisa M. Scheele & Ulrich W. Thonemann & Marco Slikker, 2018. "Designing Incentive Systems for Truthful Forecast Information Sharing Within a Firm," Management Science, INFORMS, vol. 64(8), pages 3690-3713, August.
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