Dishonest helping and harming after (un)fair treatment

Journal Title: Judgment and Decision Making - Year 2019, Vol 14, Issue 4

Abstract

People experience fair and unfair treatment daily, and at times may react by breaking ethical rules and lying. Here, we assess the extent to which individuals engage in dishonest behavior aimed at helping or harming others after they experience (un)fair treatment. Across three financially incentivized experiments, recipients in a dictator game received a fair or unfair amount and then could, by means of dishonesty, inflate or deflate their counterparts’ pay. Results show that dishonest helping is a common and robust behavior. Individuals lie to help others after fair, unfair, and no prior treatment. Dishonest harming, however, is less prevalent. Only after unfair treatment, some, but not all, individuals engage in dishonest harming. Dishonest harming was associated with high levels of anger and disappointment, and low levels of gratitude. Interestingly, the source of (un)fairness, whether it is intentional or not, did not attenuate peoples’ behavior, suggesting that dishonest reactions to (un)fairness were driven by the mere (un)fair treatment, and not by a motivation to reciprocate an (un)fair counterpart.

Authors and Affiliations

Margarita Leib, Simone Moran and Shaul Shalvi

Keywords

Related Articles

Description-based and experience-based decisions: individual analysis

We analyze behavior in two basic classes of decision tasks: description-based and experience-based. In particular, we compare the prediction power of a number of decision learning models in both kinds of tasks. Unlike mo...

Magical thinking in predictions of negative events: Evidence for tempting fate but not for a protection effect

In this paper we test two hypotheses regarding magical thinking about the perceived likelihood of future events. The first is that people believe that those who “tempt fate” by failing to take necessary precautions are m...

This way, please: Uncovering the directional effects of attribute translations on decision making

The translation of choice attributes into more meaningful information (e.g., from kWh to costs) is a form of choice architecture that is thought to facilitate decision making by providing decision signposts that activate...

Reference-dependent preferences and loss aversion: A discrete choice experiment in the health-care sector

This study employs a Discrete Choice Experiment (DCE) in the health-care sector to test the loss aversion theory that is derived from reference-dependent preferences: The absolute subjective value of a deviation from a r...

Real and hypothetical rewards in social discounting

Laboratory studies of choice and decision making among real monetary rewards typically use smaller real rewards than those common in real life. When laboratory rewards are large, they are almost always hypothetical. In a...

Download PDF file
  • EP ID EP678428
  • DOI -
  • Views 134
  • Downloads 0

How To Cite

Margarita Leib, Simone Moran and Shaul Shalvi (2019). Dishonest helping and harming after (un)fair treatment. Judgment and Decision Making, 14(4), -. https://europub.co.uk/articles/-A-678428