The Robotic Herd: Using Human-Bot Interactions to Explore Irrational Herding

Luca Verginer, Giacomo Vaccario and Piero Ronzani

No ajusq, SocArXiv from Center for Open Science

Abstract: We explore human herding in a strategic setting where humans interact with automated entities (bots) and study the shift in the behavior and beliefs of humans when they are aware of interacting with bots. The strategic setting is an online minority game, where 1,997 participants are rewarded for following the minority strategy. This setting permits distinguishing between irrational herding and rational self-interest—a fundamental challenge in understanding herding in strategic contexts. Moreover, participants were divided into two groups: one informed of playing against bots (informed condition) and the other unaware (uninformed condition). Our findings revealed that while informed participants adjusted their beliefs about bots' behavior, their actual decisions remained largely unaffected. In both conditions, 30% of participants followed the majority, contrary to theoretical expectations of no herding. This study underscores the persistence of herding behavior in human decision-making, even when participants are aware of interacting with automated entities. The insights provide profound implications for understanding human behavior on digital platforms where interactions with bots are common.

Date: 2023-09-21
New Economics Papers: this item is included in nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:ajusq

DOI: 10.31219/osf.io/ajusq

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