Arbeitspapier

Honesty in the digital age

Modern communication technologies enable effcient exchange of information but often sacrifice direct human interaction inherent in more traditional forms of communication. This raises the question of whether the lack of personal interaction induces individuals to exploit informational asymmetries. We conducted two experiments with a total of 848 subjects to examine how human versus machine interaction influences cheating for financial gain. We find that individuals cheat about three times more when they interact with a machine rather than a person, regardless of whether the machine is equipped with human features. When interacting with a human, individuals are particularly reluctant to report unlikely and, therefore, suspicious outcomes, which is consistent with social image concerns. The second experiment shows that dishonest individuals prefer to interact with a machine when facing an opportunity to cheat. Our results suggest that human presence is key to mitigating dishonest behavior and that self-selection into communication channels can be used to screen for dishonest people.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 280

Klassifikation
Wirtschaft
Design of Experiments: Other
Asymmetric and Private Information; Mechanism Design
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Thema
Honesty
cheating
human interaction
digitization
social image
screening
Ehrlichkeit
Asymmetrische Information
Betrug
Digitalisierung
Interaktion
Experiment

Ereignis
Geistige Schöpfung
(wer)
Cohn, Alain
Gesche, Tobias
Maréchal, Michel André
Ereignis
Veröffentlichung
(wer)
University of Zurich, Department of Economics
(wo)
Zurich
(wann)
2020

DOI
doi:10.5167/uzh-149945
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Cohn, Alain
  • Gesche, Tobias
  • Maréchal, Michel André
  • University of Zurich, Department of Economics

Entstanden

  • 2020

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