Dataset Information

Rule Following Mitigates Collaborative Cheating and Facilitates the Spreading of Honesty Within Groups.

ABSTRACT: Compared with working alone, interacting in groups can increase dishonesty and give rise to collaborative cheating-the joint violation of honesty. At the same time, collaborative cheating emerges some but not all of the time, even when dishonesty is not sanctioned and economically rational. Here, we address this conundrum. We show that people differ in their extent to follow arbitrary and costly rules and observe that "rule-followers" behave more honestly than "rule-violators." Because rule-followers also resist the temptation to engage in collaborative cheating, dyads and groups with at least one high rule-follower have fewer instances of coordinated violations of honesty. Whereas social interaction can lead to a "social slippery slope" of increased cheating, rule-abiding individuals mitigate the emergence and spreading of collaborative cheating, leading to a transmission advantage of honesty. Accordingly, interindividual differences in rule following provide a basis through which honest behavior can persist.

SUBMITTER: Gross J

PROVIDER: S-EPMC7897793 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Rule Following Mitigates Collaborative Cheating and Facilitates the Spreading of Honesty Within Groups.

Gross Jörg J De Dreu Carsten K W CKW

Personality & social psychology bulletin 20200617 3

Compared with working alone, interacting in groups can increase dishonesty and give rise to collaborative cheating-the joint violation of honesty. At the same time, collaborative cheating emerges some but not all of the time, even when dishonesty is not sanctioned and economically rational. Here, we address this conundrum. We show that people differ in their extent to follow arbitrary and costly rules and observe that "rule-followers" behave more honestly than "rule-violators." Because rule-foll ...[more]

PMID: 32552605

Similar Datasets

Project description:BackgroundThe reliability of signals is a key issue in the study of animal communication. Both empirical work and theoretical models show that communication need not be entirely honest, and thus signals can be deceitful. Aggressive communication appears to be a prime candidate for such deceitful communication, because bluffing has been described in several species. Bluffing in these situations are supposed to be maintained by frequency dependent selection where the fitness of a given type depends on the frequencies of the other types in the population. Previous efforts to model such a scenario through individual based simulations have yielded conflicting results. Studies have either found a rich set of polymorphic strategies including the traditional cheating scenario or found none. Thus, the modelling assumptions responsible for these diverging conclusions remain unclear.ResultsIn this study, I investigate the effects of four modelling assumptions: the role of an extended strategy set, the initial population composition (seeding), the differences in pay-offs and finally different parameter spaces. I investigate the effects of these factors on the evolvability of both honest and mixed cheating strategies. I show that both honest and cheating equilibria readily evolve and that the investigated parameter range and the seeding of the starting populations have the greatest influence on the outcome.ConclusionsBoth honest signalling and polymorphic cheating equilibria are more likely to evolve from a narrow strategy set than from a random mixture of strategies. A large potential strategy set is not a setback for the evolution of communication -honest or cheating- as long as the initial population is seeded with only a few strategies. In addition, different sections of the parameter space show consistently different behaviour. Thus, frequency dependent selection has the potential to explain various empirical observations that show consistent differences in aggressive behaviour.

Project description:A year-long pan-Canadian quality improvement collaborative (QIC) led by the Canadian Foundation for Healthcare Improvement (CFHI) supported the spread of the successful Halifax, Nova Scotia-based INSPIRED COPD Outreach Program™ to 19 teams in the 10 Canadian provinces. We describe QIC results, addressing two main questions: 1) Can the results of the Nova Scotia INSPIRED model be replicated elsewhere in Canada? 2) How did the teams implement and evaluate their versions of the INSPIRED program?Collaborative faculty selected measures that were evidence-based, relatively simple to collect, and relevant to local context. Chosen process and outcome measures are related to four quality domains: 1) patient- and family-centeredness, 2) coordination, 3) efficiency, and 4) appropriateness. Evaluation of a complex intervention followed a mixed-methods approach.Most participants were nurse managers and/or COPD educators. Only 8% were physicians. Fifteen teams incorporated all core INSPIRED interventions. All teams carried out evaluation. Thirteen teams actively involved patients and families in customized, direct care planning, eg, asking them to complete evaluative surveys and/or conducting interviews. Patients consistently reported greater self-confidence in symptom management, a return to daily activities, and improvements to quality of life. Twelve teams collected data on care transitions using the validated three-item Care Transitions Measure (CTM-3). Twelve teams used the Lung Information Needs Questionnaire (LINQ). Admissions, emergency room visits, and patient-related costs fell substantially for two teams described in detail (combined enrollment 208 patients). Most teams reported gaining deeper knowledge around complexities of COPD care, optimizing patient care through action plans, self-management support, psychosocial support, advance care planning, and coordinating community partnerships.Quality-of-care gains are achievable in the short term among different teams across diverse geographical and social contexts. A well-designed, adequately funded public-private partnership can deliver widespread beneficial outcomes for the health care system and for those living with advanced COPD.

Dataset Information

Rule Following Mitigates Collaborative Cheating and Facilitates the Spreading of Honesty Within Groups.

Publications

Rule Following Mitigates Collaborative Cheating and Facilitates the Spreading of Honesty Within Groups.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets