Fairness Norms Research Articles

Priming Behavioral Control Enhances Sharing in Preschoolers.

Although young children demonstrate knowledge of fairness norms, their actual sharing is often inconsistent with their understanding. A possible explanation for this discrepancy is the failure of behavioral control in young children. Thus, the present research manipulated behavioral control experimentally and examined its effect on the sharing behavior in 3- to 4-year-olds (N = 64). Children were randomly assigned to either the behavioral control or the neutral prime conditions. In the behavioral control prime condition, the children listened to a story in which a protagonist exerted behavioral control actively, refraining from eating candies. In the neutral prime condition, the children listened to a story in which a protagonist did not explicitly engage in behavioral control. The children then participated in the dictator game. The experimenter asked the children to share as many stickers as they wanted or should with an anonymous child. Children in the behavioral control prime condition shared more stickers than those in the neutral prime condition. However, the two groups did not differ in their judgments of fairness and emotional experiences. The current research provides evidence that preschoolers’ sharing behaviors can be facilitated by behavioral control.

An Exploratory Study on Corporate Governance From Neuro-Governance Lenses in the Malaysian Context.

Our minds are powerful, creative, forceful, and strong, controlling our thinking and behaviors. A series of high-profile accounting and financial scandals have been revealed in the past few decades, and the Enron case was the most representative of them all. Corporate decision-makers have traditionally enjoyed high remunerations, compensations, and social status. Hence, the underlying rationales and motivation drivers that motivate managers to conduct unethical behaviors have always been a heightened concern. This research aims to delineate the narratives of corporate governance misconducts and the underlying rationales of these unethical behaviors. This study incorporates independent variables of neuro-accounting, neuroeconomics, neuro-ethics, and human nature using a qualitative methodology. From this study, the social norm of fairness showed that the human nature of greed and selfishness would motivate corporate decision-makers to engage in any exchange that could benefit themselves, although it is unethical and illegal. Second, neuroeconomics revealed that scarcity of economic resources, level of risks and uncertainties, and expected rewards could be the factors that motivate managers to conduct unethical behaviors, especially when their remunerations are tightly linked to company performances. Third, neuro-ethics shows that managers who lack moral values, have unstable emotions, and possess negative moral intuitions or personal assumptions could be more likely to pursue their interests at the cost of others. Lastly, neuro-governance also proved that self-benefits and financial incentives will usually be the priority and would be a motivating factor for misconduct.

Young children do not perceive distributional fairness as a moral norm.

Young children robustly distinguish between moral norms and conventional norms (Smetana, 1984; Yucel et al., 2020). In existing research, norms about the fair distribution of resources are by definition considered part of the moral domain; they are not distinguished from other moral norms such as those involving physical harm. Yet an understanding of fairness in resource distribution (hereafter, "fairness") emerges late in development and is culturally variable, raising the possibility that fairness may not fall squarely in the moral domain. In 2 preregistered studies, we examined whether U.S. American children who were primarily White see fairness as a moral or conventional norm. In study 1 (N = 96), we did not obtain the established moral-conventional difference needed to investigate questions about the status of fairness. We improved our design in our second preregistered study. In study 2 (N = 94), 4-year-olds rated moral transgressions (e.g., hitting) as more serious than fairness and conventional transgressions (e.g., wearing pajamas to school), but importantly, they rated fairness and conventional transgressions as similarly serious. In contrast, 6- and 8-year-olds rated moral transgressions as more serious than fairness and conventional transgressions, and fairness as more serious than conventional transgressions. An additional, forced-choice procedure revealed that most 6-year-olds also categorized fairness with moral rather than conventional transgressions; 4- and 8-year-olds' responses on this measure did not show systematic patterns. U.S. American children may not equate norms of fairness in resource distribution with harm-based moral norms, even into middle childhood. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Ethical Tenets of Stock Price Prediction Using Machine Learning Techniques: A Sustainable Approach

When Machine Learning (ML) algorithms take over decision-making from human conscience and cognition, the essence of ethics gets saturated. The visible decline of ethics generally gets reflected in financial markets, as it portrays human actions and sentiments in numerical terms than any sector. Accuracy in stock market prediction remains inefficient due to many known and unknown variables. Academia and industry recently relied on ML at large to track the market and monetize the movements. The norms of fairness, accuracy, dependability, and transparency in financing is left unattended in ML prediction models with assumptions far from reality. The integration of the tenets proposed in this study can emphasize and reconfigure the sustainable side of investing with concepts already in place but not connected to the network of prediction models. This study focuses on the ethical dimension of Machine Learning models and generates a sustainable framework for investors. Specifically, the Sustainable Development Goals (SDG) can enhance the prediction models in ML with improved efficiency. Along with SDG, this research broadens the variables' horizon of prediction in ML of computer science domain with concepts of Socially Responsible Investing (SRI), Environmental Social and Corporate Governance (ESG), and carbon footprints. With 115 articles reviewed, the proposed framework ensures sustainability in investments at the grassroots level. When adding the sustainability quotient backed by recognized norms, the research can be a breakthrough in rational investing based on ethical judgments aided by initiatives like the United Nation's SDG goals.

Haste Makes Waste: Why China's New Plea Leniency System is Doomed to Fail

AbstractIn 2016, China introduced an ‘Admission of Guilt and Acceptance of Punishment’ system (known as ‘plea leniency’) premised primarily on the ideal of punishing crime efficiently while advancing the protection of human rights. In this article, I challenge this official rationale by critically examining the legitimacy of plea leniency as a rights-based approach to crime. Drawing on procedural justice theory, I use extant research data and online criminal judgments from the courts in Shanghai to unravel manifold mismatches between the plea leniency process and a procedurally just decision-making process that respects individual rights. My contention is that the operational dynamics of plea leniency is weighed heavily towards efficacy with little regard for the fundamental norms of due process and fairness in which the procedural legitimacy of this new form of summary dispositions is grounded. By tying the expedition of criminal proceedings to guilty pleas, plea leniency represents a discursive continuity of China's broader criminal justice culture, and as such, it fails in operating on a more just, respectful, and communicative basis to accommodate defendants’ interests which stand at the core of its operation.

The influence of age and experience of (un)fairness on third‐party punishment in children

AbstractThird‐party punishment is an important mechanism to enforce norm‐following. However, the underlying process that explains the development of third‐party punishment is understood poorly. Here we examine to what extent age‐effects and contemporaneous experiences of receiving unfair offers influence third‐party punishment. In two studies, a total of N = 280 5‐ to 9‐year‐olds participated in a computer‐based task in which they received either fair or unfair offers from another peer. In the subsequent test phase, children could punish unfair offers as an unaffected third‐party. We found that with age, children become increasingly systematic in their decisions to punish unfair allocations. However, there was no strong evidence that an immediate experience of (un)fairness influenced children's punishment. Together, our results suggest that children develop a sophisticated application of fairness norms with age that is not easily swayed by their immediate experience of being treated unfairly.

Punishment cost affects third-parties' behavioral and neural responses to unfairness

Third-party punishment plays a crucial role in fairness norm enforcement. The present study investigated how punishment cost would affect third-parties' behavioral and neural responses to unfairness using a modified Third-Party Dictator Game and functional magnetic resonance imaging (fMRI). Participants acted as third-parties and decided how many monetary units (MUs) to invest to punish norm violations in two punishment cost contexts. Participants' every MU investment reduced dictators' payoff by 6 MUs in the low punishment cost context and 3 MUs in the high one. Participants' invested MUs reflected the cost they would like to pay to punish dictators while dictators' reduced MUs represented the amount of punishment they received. Behavioral results showed participants' fairness ratings were not affected by punishment cost. However, punishment amount decreased in the high punishment cost context where participants invested more MUs and spent more time for decision-making. Neurally, left anterior insula (AI) and bilateral dorsolateral prefrontal cortex (dlPFC) showed stronger responses to unfair relative to fair allocations in both contexts. Moreover, dorsal anterior cingulate cortex (dACC) was more active during unfair allocations in the high punishment cost context than in the low one and the difference of dACC activity between these two conditions was positively correlated with the difference of reaction times. Overall, the present study demonstrated that punishment cost would not affect people's fairness perception but increase the conflicts between norm enforcement and self-interest. The decision for punishment was the outcome of integrating fairness and economic considerations.

Do religious and market-based institutions promote cooperation in Hadza hunter-gatherers?

ABSTRACT Humans’ willingness to bear costs to benefit others is an evolutionary puzzle. Cultural group selection proposes a possible answer to this puzzle—cooperative norms and institutions proliferate due to group-level benefits. For instance, belief in knowledgeable, moralizing deities is theorized to decrease selfishness and favoritism through threat of supernatural punishment. Similarly, norms of fairness and cooperation are theorized to have coevolved with engagement in markets, which necessitate anonymous exchanges. We investigate these theories among the Tanzanian Hadza who, until recently, have had minimal exposure to markets or major world religions. Engagement with Western tourists, village markets, and Christian missionaries is increasingly leading researchers to ask how such interactions have affected cooperative behavior. We interviewed 172 Hadza from 15 camps varying in market proximity, and measured cooperative decision-making using economic games. We find that exposure to missionaries is associated with increased belief in a knowledgeable and punitive deity, with mixed evidence that these beliefs, in turn, affect game play. In contrast, we find some evidence that those living in market-adjacent regions exhibit less in-group favoritism when cooperating. These results support the claim that market-norms, and to some degree religious beliefs, facilitate greater cooperation and fairness in social interactions.

Effects of transcranial direct current stimulation over the right dorsolateral prefrontal cortex on fairness-related decision-making

Neuroimaging studies suggest that the right dorsolateral prefrontal cortex (rDLPFC) is an important brain area involved in fairness-related decision-making. In the present study, we used transcranial direct current stimulation (tDCS) over the rDLPFC to investigate the effects of changed cortical excitability on fairness norm enforcement in social decision-making. Participants received anodal, cathodal or sham stimulation before performing a modified ultimatum game task, in which participants were asked to accept or reject the proposer’s offer and self-rate the intensity of their anger at offers on a 7-point scale. The results showed that the rejection rate of unfair offers and anger level were higher in the anodal compared to the sham and cathodal groups and that the level of anger at unfair offers can predict the rejection rate. Furthermore, the fairness effect of RTs was more prominent in the anodal group than in the sham and cathodal groups. Our findings validate the causal role of the rDLPFC in fairness-related decision-making through tDCS, suggesting that strengthening the rDLPFC increases individuals’ reciprocal fairness in social decision-making, both in subjective rating and behaviors.

PLAYING BY THE RULES: USING GAMES TO STUDY SOCIAL NORMS

In this article, classic game theory and evolutionary game theory are used to explain how social norms might come into existence. The norm of distributive fairness is taken as a case in point, and illustrated by a simple example of dividing a cake.

Exploring the interaction between social norms and perceived justice of wind energy projects: a qualitative analysis

ABSTRACT The deployment of wind energy projects (WEP) within the process of energy transition changes energy landscapes and daily living environments. With regard to social acceptance as one social response towards WEP, the role of different aspects of justice (i.e. procedural, distributive, recognition) has been discussed. This study highlights the importance of social norms and their influence on perceived justice regarding WEP, which has been neglected in the literature so far. The relationship between social norms and perceived justice is explored as a conceptual framework through a systematic literature review and expert interviews. This framework aims to explain how social norms and their relationship with justice are defined, interlinked and how they affect perceptions of WEP. The results argue that social norms surface in situations where all the key elements of a project are decided without public impact. Thus, norms of fairness emerge under uncertain situations with the influence of similar emotions within groups. Moreover, social norms and perceived justice would explain several responses, such as local conflicts, or the motivation to further develop WEP. This study concludes by discussing the applicability of the framework, which needs further analysis as an analytical tool and deeper empirical investigation.

Psychological development mechanism of in-group favoritism during fairness norm enforcement

<p id="p00005">To improve the fairness perception and norm enforcement of children and adolescents in inter-group interactions, it is an essential issue in the field of educational psychology about how to reveal the interactive mechanism of group norms and fairness values during individuals' psychological development. Although in-group favoritism during fairness norm enforcement is an important topic in psychology, three main limitations need to be addressed. First, most studies use questionnaires, which are easily affected by social participation. Second, most of the research uses scenario experiments with an emphasis on the final behavioral output of social interaction while failing to effectively grasp the dynamic process of social decision-making. Finally, electroencephalogram (EEG) studies with the high temporal resolution are still lacking to reveal the dynamic process of the brain. This project aims to clarify these issues by employing a cognitive neuroscience method. Specifically, multilevel techniques, including self-reported, cognitive-behavioral, eye-tracking, and electrophysiological techniques, were used to examine the mechanism behind in-group favoritism of fairness norm enforcement from childhood to adolescence. We intend to explore the developmental process, reveal the key role of cognitive control, mentalizing, and describe their psychological development trajectory. Findings will support moral education in primary and secondary schools, and cultivate students' sense of justice and behavior.

Mentalizing with the future: Electrical stimulation of the right TPJ increases sustainable decision-making

While many people acknowledge the urgency to drastically change our consumption patterns to mitigate climate change, most people fail to live sustainably. We hypothesized that a lack of sustainability stems from insufficient intergenerational mentalizing (i.e., taking the perspective of people in the future). To causally test our hypothesis, we applied high-definition transcranial direct current stimulation (HD-tDCS) to the temporo-parietal junction (TPJ). We tested participants twice (receiving stimulation at the TPJ or the vertex as control), while they engaged in a behavioral economic paradigm measuring sustainable decision-making, even if sustainability was costly. Indeed, excitatory anodal HD-tDCS increased sustainable decision-making, while inhibitory cathodal HD-tDCS had no effect. These finding cannot be explained by changes in participants’ fairness norms or their estimation of how other people would behave. Shedding light on the neural basis of sustainability, our results could inspire targeted interventions tackling the TPJ and give neuroscientific support to theories on how to construct public campaigns addressing sustainability issues.

Fairness norm through social networks: a simulation approach

Recently there has been an increased interest in adopting game-theoretic models to social norms. Most of these approaches are generally lacking a structure linking the local level of the ‘norm’ interaction to its global ‘social’ nature. Although numerous studies examined local-interaction games, where the emphasis is placed on neighborhood relations, regarding social network as a whole unique entity seems to be quite limited. In this paper, we conduct a series of simulation experiments to examine the effects that a network topology could have on the speed of emergence of the social norm. The emphasis is placed on the fairness norm in the ultimatum game context, by considering three network type models (Barabási–Albert, Watts–Strogatz and Erdős–Rényi) and several intrinsic topological properties.

Mechanisms of Intergenerational Environmental Stewardship Activated by COVID-19: Gratitude, Fairness, and Legacy Motives

The COVID-19 pandemic has caused an immense loss of human life, increased economic uncertainty, and negatively impacted individuals' mental health and close relationships. At the same time, experts have noted a concurrent improvement in many environmental quality indicators, including significant decreases in both localized air pollution and global greenhouse gas emissions. These positive trends are due to changes in human behavior necessitated by social distancing and self-quarantining measures (e.g., reduced car and air travel). However, there is already evidence that these improvements in environmental quality are only temporary. This suggests that more intentional efforts will be necessary in order to maintain positive environmental benefits and address major environmental issues as the world gets back to some version of pre-pandemic economic and social activity. Still, our collective experience over the course of the pandemic provides clear evidence that such change is possible and on a rapid timetable. Our individual and collective responses to COVID-19 reveal that we do indeed have the ability to respond to novel societal threats in highly coordinated and effective ways, suggesting that confronting the existential threat of climate change may in fact be feasible. Here, we theorize that the COVID-19 pandemic has potentially activated and made more salient some key psychological mechanisms—including norms of fairness and reciprocity, feelings of gratitude, and consideration of personal legacies—that previous empirical work suggests can be harnessed to promote beneficent intergenerational decision-making aimed at solving the environmental challenges we and our descendants will face in the twenty-first century.

Victim Sensitivity and Proposal Size Modulate the Ingroup Favoritism During Fairness Norm Enforcement.

People show a strong aversion to inequality and are willing to sacrifice their own interests to punish violations of fairness norms. Empirical research has found that group membership could influence the fairness judgment and norm enforcement of the individuals but has shown inconsistent findings and has not focused much on the potential moderators. Here, the two studies aimed to investigate whether victim sensitivity and proposal size moderate the impact of group membership on reactions to unfair proposals. In both studies, the participants with different victim sensitivity (low vs. high group) played the hypothetical (Study 1) and incentivized (Study 2) ultimatum game under the intragroup and intergroup condition and indicated their responses to the different proposals. Results showed that, regardless of the victim sensitivity, ingroup member is often given preferential and positive treatment. Low victim sensitive persons are more likely to accept unfair offers from the ingroup than the outgroup, while this effect was attenuated for those with high victim sensitivity, especially for highly ambiguous unfair offers (offer 6:4 in Study 1 and 8:2 in Study 2). Moreover, the ingroup favoritism score for ambiguous unfair offers was smaller for high compared with the victim sensitivity group. Taken together, the victim sensitivity, and proposal size could moderate the ingroup favoritism on responses to unfairness.

Are informal transfers driven by strategic risk-sharing or fairness? Evidence from an experiment in Kenya

Individuals often manage low and risky earnings using informal transfers, which are influenced by both fairness norms and the desire for informal risk-sharing. This paper develops an experiment that allows us to disentangle these motives when income can depend on effort. The empirical analysis shows that people are equally likely to give transfers from high-income to low-income partners when income is due to chance as when both participants exert effort to increase expected income; however, participants are less likely to give transfers when one or both partners do not exert effort. These transfers are more likely due to risk-sharing than inequity aversion.

How Do Basic Personality Traits Map Onto Moral Judgments of Fairness-Related Actions?

Reliance on fairness norms is a core feature of moral behavior and judgment, and is conceptually and empirically linked with basic personality dimensions. However, the specific nature of these links is poorly understood. In this study (N = 313, 68% female), we employed a novel third-party judgment paradigm, in which participants made moral judgments of various sharing actions of virtual others. This allowed us to capture individual variation in the relative importance of several fairness norms. We correlated these norm profiles with Big Five personality traits. We observed distinct associations between agreeableness, conscientiousness, openness, and extraversion and estimates of the importance of generosity, selfishness, relative generosity, and relative selfishness norms. Comparisons of these associations at the domain- versus facet-level of personality traits suggested these relations are specific to domain-level traits. These findings are an important step toward unraveling the complex links between fairness norms and basic personality traits.

The effect of options to reward and punish on behavior in bargaining

AbstractWe use a lab experiment to investigate how providing the responder with options to reward and/or punish the proposer postacceptance affects behavior in ultimatum bargaining. We find that the presence of costly reward and punishment options affects behavior of both bargaining parties, even if those instruments are rarely used. Proposers are most generous when responders can both reward and punish, and offer least (even compared to the baseline) when responders can only reward. The likelihood of acceptance by responders, conditional on offer size, increases. The least generous offers have the highest chance of being accepted in the presence of punishment alone, even when punishment is not applied. It appears that the availability of additional instruments changes subjects' perception of the distribution of bargaining power and shifts fairness norms. The results have implications for optimal contract design in posted offer settings, such as decentralized online marketplaces for various tasks.

On the existence of efficient, individually rational, and fair environmental agreements

Suppose a group of agents are engaged in economic activity that produces emissions of pollutants. Emissions yield private benefits and impose negative externalities. The status-quo is assumed to be inefficient so that the agents are willing to negotiate an improved allocation of emissions. In this context, we are interested in allocations satisfying Pareto efficiency, individual rationality, and a principle of fairness that generalizes concepts that are encountered in practice. While the existence of such allocations is not guaranteed, we derive a necessary and sufficient condition for it. This condition is succinct and its verification is computationally tractable. Uniqueness will generally not hold, and so we describe a procedure that generates allocations with the desired properties and discuss ways of selecting from them. We apply our model to a setting of climate-change policy based on Nordhaus (2015). Our results show that it is possible to achieve a large reduction in global CO2 emissions that enhances every region’s welfare, while at the same time achieving Pareto efficiency and respecting norms of fairness.