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Cherry-Picking Tolerance About Untruthful News 对不真实新闻的选择性容忍
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-12-08 DOI: 10.1002/bdm.70003
Xilin Li, Christopher K. Hsee, Shu Wang

People are increasingly worried about untruthfulness in news reporting. We distinguish between two types of untruthfulness: apparent untruthfulness (containing false information) and consequential untruthfulness (giving readers a wrong impression of the truth). Consequential untruthfulness can be caused by both the presence of false information and cherry-picking (reporting only parts of the truth). Despite this, we find that people's perception of untruthfulness depends largely on apparent untruthfulness. Consequently, they treat news that cherry-picks information less negatively (e.g., less likely to criticize it and more likely to share it with others) than they treat news that contains false information, when the former is more consequentially untruthful than the latter. We dub this phenomenon as cherry-picking tolerance. We also find that prompting people to think about the consequence of the news report (i.e., the impressions people form after they read the news reports) will mitigate the cherry-picking tolerance. This research draws attention to the widespread practice of cherry-picking in news reporting and calls for a new look at what constitutes fake news.

人们越来越担心新闻报道中的不真实性。我们将不真实分为两类:表面上的不真实(包含虚假信息)和后果性的不真实(给读者留下错误的真实印象)。后果性不真实既可能由虚假信息造成,也可能由偷梁换柱(只报道部分真相)造成。尽管如此,我们发现人们对不真实性的感知主要取决于表面上的不真实性。因此,与包含虚假信息的新闻相比,当前者比后者更不真实时,人们对待偷换概念的新闻的负面态度会更少(例如,批评的可能性更小,与他人分享的可能性更大)。我们将这种现象称为 "挑剔容忍"。我们还发现,促使人们思考新闻报道的后果(即人们在阅读新闻报道后形成的印象)会减轻人们的 "偷梁换柱 "容忍度。这项研究引起了人们对新闻报道中普遍存在的 "偷梁换柱 "现象的关注,并呼吁人们重新审视什么是假新闻。
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引用次数: 0
Prescribing Agreement Improves Judgments and Decisions 处方协议可改进判决和决定
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-11-26 DOI: 10.1002/bdm.70004
Pavel V. Voinov, Günther Knoblich

We investigated whether prescribing agreement improves the quality of judgments and decisions. Participants were first asked to provide judgments or decisions individually. Then, they either revised their initial judgments and decisions based on a partners' response, or they provided a joint judgment agreed upon with their partner. In the latter condition, we allowed for a minimal communication protocol restricted to acceptance and rejection responses to each other's proposals. In the Agreement condition, participants improved both in a cognitive (Experiment 1a) and a perceptual decision task (Experiment 1b). The cognitive task agreement allowed participants to improve above the level of accuracy achieved with revision. Surprisingly, the prescribing agreement improved the quality of the initial independent decisions. In a judgment task (Experiment 2), the prescribing agreement led to more accurate judgments because partners weighed each other's judgments more equally than in the Revision condition where they gave higher weight to their own judgments. We conclude that prescribing agreement reduces egocentric discounting bias and motivates individuals to be more accurate. These results not only demonstrate that collective benefits in judgment and decision making can be accrued without verbal communication but also suggest potential limitations of this approach.

我们研究了规定协议是否能提高判断和决策的质量。首先要求参与者单独做出判断或决定。然后,他们要么根据伙伴的回应修改自己最初的判断和决定,要么提供与伙伴达成一致的共同判断。在后一种情况下,我们允许最低限度的交流协议,仅限于对彼此提议的接受和拒绝回应。在协议条件下,参与者在认知任务(实验 1a)和感知决策任务(实验 1b)中都有所提高。认知任务中的协议使参与者的准确率提高到了修改后的水平之上。令人惊讶的是,处方协议提高了最初独立决策的质量。在判断任务(实验 2)中,处方协议导致了更准确的判断,因为与修订条件相比,伙伴们更平等地权衡彼此的判断,而修订条件下,伙伴们更重视自己的判断。我们的结论是,规定协议减少了以自我为中心的贴现偏差,促使个体做出更准确的判断。这些结果不仅证明了在没有语言交流的情况下也能在判断和决策方面获得集体利益,而且也表明了这种方法的潜在局限性。
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引用次数: 0
Do We Use Relatively Bad (Algorithmic) Advice? The Effects of Performance Feedback and Advice Representation on Advice Usage 我们会使用相对糟糕的(算法)建议吗?性能反馈和建议表示对建议使用的影响
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-11-24 DOI: 10.1002/bdm.70001
Stefan Daschner, Robert Obermaier

Algorithms are capable of advising human decision-makers in an increasing number of management accounting tasks such as business forecasts. Due to expected potential of these (intelligent) algorithms, there are growing research efforts to explore ways how to boost algorithmic advice usage in forecasting tasks. However, algorithmic advice can also be erroneous. Yet, the risk of using relatively bad advice is largely ignored in this research stream. Therefore, we conduct two online experiments to examine this risk of using relatively bad advice in a forecasting task. In Experiment 1, we examine the influence of performance feedback (revealing previous relative advice quality) and source of advice on advice usage in business forecasts. The results indicate that the provision of performance feedback increases subsequent advice usage but also the usage of subsequent relatively bad advice. In Experiment 2, we investigate whether advice representation, that is, displaying forecast intervals instead of a point estimate, helps to calibrate advice usage towards relative advice quality. The results suggest that advice representation might be a potential countermeasure to the usage of relatively bad advice. However, the effect of this antidote weakens when forecast intervals become less informative.

在越来越多的管理会计任务(如商业预测)中,算法能够为人类决策者提供建议。鉴于这些(智能)算法的预期潜力,越来越多的研究致力于探索如何在预测任务中提高算法建议的使用率。然而,算法建议也可能是错误的。然而,在这一研究流中,使用相对较差建议的风险在很大程度上被忽视了。因此,我们进行了两项在线实验,以研究在预测任务中使用相对较差建议的风险。在实验 1 中,我们研究了绩效反馈(揭示以前的相对建议质量)和建议来源对在商业预测中使用建议的影响。结果表明,提供绩效反馈会增加后续建议的使用率,但也会增加后续相对较差建议的使用率。在实验 2 中,我们研究了建议表示法(即显示预测区间而不是点估计值)是否有助于根据相对建议质量校准建议使用情况。结果表明,建议表示可能是使用相对较差建议的潜在对策。然而,当预测区间的信息量变小时,这种解毒剂的效果就会减弱。
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引用次数: 0
Evaluation of Extended Decision Outcomes 对扩展决策结果的评估
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-10-21 DOI: 10.1002/bdm.70000
Tommy Gärling

Some decision outcomes consist of sequences of single experiences. The aim is to propose a conceptualization of how such sequences are evaluated if affective evaluations of single experiences evoke transient emotional responses with lasting changes in current mood. The conceptualization implies three modes in which the sequences of single experiences are evaluated: (i) Aggregation of affective evaluations of the single experiences retrieved from memory; (ii) Aggregation of current moods associated with emotional responses to the single experiences retrieved or reconstructed from memory; and (iii) Updating of current mood. Simulations of parametrized models are used to compare the different evaluation modes to each other and to show to which extent the simulation results are consistent with some common findings in previous research. The previous research has primarily investigated different rules for aggregation of affective evaluations of single experiences. The simulation results motivate research comparing this mode to the other proposed modes.

有些决策结果是由一系列单一体验组成的。如果对单一经历的情感评价会唤起短暂的情绪反应,并使当前情绪发生持久的变化,那么我们的目的就是要提出一种概念,说明如何对这些序列进行评价。这一概念化意味着评估单一经历序列的三种模式:(i) 从记忆中检索单一经历的情感评价聚合;(ii) 与从记忆中检索或重建的单一经历的情感反应相关的当前情绪聚合;以及 (iii) 更新当前情绪。通过对参数化模型的模拟来比较不同的评估模式,并说明模拟结果在多大程度上与以往研究的一些共同发现相一致。以往的研究主要调查了对单一经历的情感评价进行汇总的不同规则。模拟结果推动了将这一模式与其他建议模式进行比较的研究。
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引用次数: 0
Diffusion of Responsibility for Actions With Advice 通过建议分散行动责任
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-10-16 DOI: 10.1002/bdm.2415
Dylan A. Cooper

Diffusion of responsibility is typically defined as the effect by which people feel less responsible for outcomes of their actions when they act as a member of a group than when they act individually. The research reported here extends the concept of diffusion of responsibility to contexts in which the actor has received advice. Responsibility when using advice and when acting contrary to advice are compared to each other, as well as to responsibility when acting alone or as part of a group. To provide a more complete picture, this research consolidates disparate concepts from previous work on diffusion of responsibility, including felt, judged, and anticipated responsibility assessments; distributive and case-based models of responsibility; and positive and negative outcomes. Across three experiments, using advice conveyed less responsibility than either acting alone or acting contrary to advice, with greater use of advice further reducing responsibility. The magnitude of diffusion was influenced by the task outcome valence in ways consistent with self-serving bias when acting alone and other-serving bias when using advice. Diffusion was greater with distributive than case-based responsibility models. The results were generally consistent across felt, judged, and anticipated responsibility, as well as with choice and judgment tasks. Implications and future research possibilities are discussed.

责任扩散通常被定义为这样一种效应,即人们在作为群体成员行动时,对其行动结果的责任感要低于单独行动时的责任感。本文报告的研究将责任扩散的概念扩展到行为人接受建议的情况。使用建议时的责任和违背建议行事时的责任相互比较,同时也与单独行事或作为团体成员行事时的责任进行比较。为了提供更全面的信息,本研究整合了以往有关责任扩散的研究中的不同概念,包括感觉、判断和预期的责任评估;责任的分配模式和基于案例的模式;以及积极和消极的结果。在三个实验中,与单独行动或与建议相反的行动相比,使用建议传达的责任更少,而更多地使用建议则会进一步减少责任。扩散的程度受任务结果价值的影响,这与单独行动时的自我服务偏差和使用建议时的他人服务偏差是一致的。分配型责任模式的扩散程度大于案例型责任模式。在感觉责任、判断责任和预期责任中,以及在选择和判断任务中,结果基本一致。本文讨论了影响和未来研究的可能性。
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引用次数: 0
Dynamics of Reliance on Algorithmic Advice 依赖算法建议的动态变化
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-10-08 DOI: 10.1002/bdm.2414
Andrej Gill, Robert M. Gillenkirch, Julia Ortner, Louis Velthuis

This study examines the dynamics of human reliance on algorithmic advice in a situation with strategic interaction. Participants played the strategic game of Rock–Paper–Scissors (RPS) under various conditions, receiving algorithmic decision support while facing human or algorithmic opponents. Results indicate that participants often underutilize algorithmic recommendations, particularly after early errors, but increasingly rely on the algorithm following successful early predictions. This behavior demonstrates a sensitivity to decision outcomes, with asymmetry: rejecting advice consistently reinforces rejecting advice again while accepting advice leads to varied reactions based on outcomes. We also investigate how personal characteristics, such as algorithm familiarity and domain experience, influence reliance on algorithmic advice. Both factors positively correlate with increased reliance, and algorithm familiarity significantly moderates the relationship between outcome feedback and reliance. Facing an algorithmic opponent increases advice rejection frequencies, and the determinants of trust and interaction dynamics differ from those with human opponents. Our findings enhance the understanding of algorithm aversion and reliance on AI, suggesting that increasing familiarity with algorithms can improve their integration into decision-making processes.

本研究探讨了人类在战略互动情况下依赖算法建议的动态变化。参与者在不同条件下进行了 "石头剪刀布"(RPS)策略游戏,在面对人类或算法对手时接受算法决策支持。结果表明,参与者往往对算法建议利用不足,尤其是在早期失误之后,但在早期预测成功之后,参与者会越来越依赖算法。这种行为表现出了对决策结果的敏感性,而且具有不对称性:拒绝建议会不断强化再次拒绝建议的行为,而接受建议则会导致基于结果的不同反应。我们还研究了算法熟悉程度和领域经验等个人特征如何影响对算法建议的依赖。这两个因素都与依赖性的增加呈正相关,而算法熟悉程度在很大程度上调节了结果反馈与依赖性之间的关系。面对算法对手会增加建议被拒绝的频率,而信任和互动动态的决定因素与面对人类对手时不同。我们的研究结果加深了人们对算法厌恶和依赖人工智能的理解,表明提高对算法的熟悉程度可以改善算法与决策过程的融合。
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引用次数: 0
PDOSPERT: A New Scale to Predict Domain-Specific Risk-Taking Behaviors in Times of a Pandemic PDOSPERT:预测大流行时期特定领域冒险行为的新量表
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-10-02 DOI: 10.1002/bdm.2413
Benno Guenther, Matteo M. Galizzi, Jet G. Sanders

Understanding risk tolerance is crucial for predicting and changing behavior across various domains, including health and safety, finance, and ethics. This remains true during a crisis, such as the COVID-19 pandemic, and leads to a key question: Do current risk measures reliably predict risk-taking in the drastically different context of a pandemic? The Domain Specific Risk-Taking (DOSPERT) scale, one of the most widely used risk-taking measures, assesses self-reported risk-taking in response to 30 risky situations across five domains. With the hypothetical risks of the DOSPERT being based on prepandemic circumstances, we estimate that three out of four of its risk-taking situations were not possible due to preventive measures or did not reflect risk-taking in times of COVID-19. In addition, COVID-19 brought forth new behaviors deemed risky. With an aim to better predict risk-taking in times of a pandemic, we introduce the Pandemic DOSPERT (PDOSPERT). We summarize three preregistered online studies with 1254 UK participants to validate the scale against the original DOSPERT and three other common risk-taking measures. We also test its ability to predict pandemic risk-related behaviors at three points in time over 2 years. Overall, we find that the PDOSPERT scale significantly improves predictions for pandemic-related risk behavior as compared to the original DOSPERT. In particular, the health/safety subscale is significantly and strongly associated with pandemic-related risk behavior. We not only validate a pandemic-specific risk task but also introduce a template for developing context- and domain-sensitive measures for risk-taking in the future.

了解风险承受能力对于预测和改变健康与安全、金融和道德等各个领域的行为至关重要。在 COVID-19 大流行病等危机期间,这一点依然适用,并引出了一个关键问题:目前的风险测量方法是否能可靠地预测在大流行病这种截然不同的情况下的风险承担?特定领域风险承担(DOSPERT)量表是最广泛使用的风险承担测量方法之一,它针对五个领域的 30 种风险情况对自我报告的风险承担进行评估。由于 DOSPERT 的假设风险是基于疫情爆发前的情况,因此我们估计,由于采取了预防措施,其中四分之三的风险承担情况不可能发生,或者不能反映 COVID-19 期间的风险承担情况。此外,COVID-19 还带来了新的风险行为。为了更好地预测大流行时的冒险行为,我们引入了大流行 DOSPERT(PDOSPERT)。我们总结了三项预先登记的在线研究,共有 1254 名英国参与者参加,通过与最初的 DOSPERT 和其他三种常见的冒险行为测量方法进行对比,验证了该量表的有效性。我们还测试了该量表在两年内的三个时间点预测大流行风险相关行为的能力。总体而言,我们发现与原始的 DOSPERT 相比,PDOSPERT 量表大大提高了对大流行相关风险行为的预测能力。特别是,健康/安全子量表与大流行相关风险行为有明显且密切的关联。我们不仅验证了针对大流行病的风险任务,而且还为将来开发对情境和领域敏感的风险承担测量方法提供了模板。
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引用次数: 0
Variation in Valence Intensity Within Frames: Testing Predictions of Prospect Theory and Fuzzy-Trace Theory 帧内价值强度的变化:检验前景理论和模糊跟踪理论的预测结果
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-09-30 DOI: 10.1002/bdm.2412
Todd McElroy

Risk and decision-making are central to human behavior and have been extensively studied across many disciplines. To better understand the factors that influence an individual's risk-related choices, this paper investigates the influence of frame valence intensity. It does so by comparing predictions from two prominent theories of decision-making: Prospect theory (PT) and fuzzy-trace theory (FTT). PT relies on the numerical transformation of subjective value information suggesting that the intensity of the frame should not affect the decision outcome. In contrast, FTT predicts that the level of frame valence should correspond to the intensity of the extracted memory trace and have predictable effects on risky choice. The results demonstrate that risky choice varies across different levels of the frame's valence. For positive frames, increasing valence intensity is associated with decreased risk preference. For negative frames, the relationship is more complex and context-dependent. These findings extend our understanding of framing effects, suggesting that both the direction and intensity of frame valence influence risk preferences. While broadly aligning with FTT predictions regarding gist extraction, our results also indicate that PT could be extended to account for valence intensity effects, potentially bridging these theoretical perspectives.

风险和决策是人类行为的核心,许多学科都对其进行了广泛研究。为了更好地理解影响个人风险相关选择的因素,本文研究了框架情绪强度的影响。为此,本文比较了两种著名的决策理论:前景理论(PT)和模糊轨迹理论(FTT)。前景理论依赖于主观价值信息的数字转换,这表明框架强度不应影响决策结果。与此相反,模糊痕迹理论则预测,框架价值的高低应与提取的记忆痕迹的强度相对应,并对风险选择产生可预测的影响。结果表明,风险选择在不同程度的框架价位上是不同的。对于积极的框架,价值强度的增加与风险偏好的降低有关。而对于负面框架来说,这种关系则更为复杂,且取决于情境。这些发现扩展了我们对框架效应的理解,表明框架价值的方向和强度都会影响风险偏好。我们的研究结果与关于要点提取的 FTT 预测大体一致,但同时也表明,PT 可以扩展到考虑价位强度效应,从而有可能弥合这些理论观点。
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引用次数: 0
Correction to The Effect of a Default Nudge on Experienced and Expected Autonomy: A Field Study on Food Donation 更正《默认暗示对经验自主和预期自主的影响》:食物捐赠实地研究
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-09-19 DOI: 10.1002/bdm.2411

Weijers, R, Wachner, J and Koning, B (2024), The Effect of a Default Nudge on Experienced and Expected Autonomy: A Field Study on Food Donation. J Behav Dec Making, 37: e2404. https://doi.org/10.1002/bdm.2404

For the Acknowledgments, the following was not included, due to the blinding of the manuscript, which was not reverted by the authors when checking the author proofs:

The Acknowledgments should read as follows:

We would like to thank Marleen Lagendijk, Robin Luiten, Harry Wijsbroek, Sarah Puijk, Naomi Markus, Celeste Seijerlin, Eva Buiskool, Fay Olde Dubbelink, and Irissa Pape for their help with data collection.

We apologize for this error.

Weijers, R, Wachner, J 和 Koning, B (2024),《默认暗示对经验自主和预期自主的影响》:食物捐赠实地研究》。J Behav Dec Making, 37: e2404. https://doi.org/10.1002/bdm.2404 在致谢部分,由于稿件存在盲点,作者在检查作者校样时没有改正,因此没有包括以下内容:致谢部分应为:我们感谢 Marleen Lagendijk、Robin Luiten、Harry Wijsbroek、Sarah Puijk、Naomi Markus、Celeste Seijerlin、Eva Buiskool、Fay Olde Dubbelink 和 Irissa Pape 在数据收集方面提供的帮助。
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引用次数: 0
Equivalence Framing and the Construction of Advocacy Messages 等效框架与宣传信息的构建
IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED Pub Date : 2024-09-11 DOI: 10.1002/bdm.2409
Jiawei Liu, Douglas M. McLeod, Linqi Lu

Alternative messages that present logically equivalent information, often referred to as equivalence frames, have been shown to influence readers' opinions on public issues. While equivalence framing has been studied in the context of issue advocacy, exhibiting pervasive effects across domains of decision-making, little attention has been paid to whether the general public is able to choose these equivalence frames based on the goal of persuasion. Given that framing effects have important implications on democratic decision-making, this paper reports on experiments that manipulate the strategic goal of policy advocacy (i.e., supporting alternative policy proposals) and ask respondents to select between equivalence frames to enhance the persuasive power of the advocacy toward the specified goal. Findings across three issue topics suggest that for the general adult population, only a small proportion of people were able to select equivalence frames based on the goal of persuasion with most people failing to do so. Also, a follow-up study with a university student sample showed that familiarity with one equivalence frame over the other was a more consistent predictor of equivalence frame use than the goal of advocacy in communicating policy issues.

事实证明,呈现逻辑上等价信息的替代信息(通常称为等价框架)会影响读者对公共问题的看法。虽然等效框架一直是在议题倡导的背景下进行研究的,并在决策的各个领域表现出普遍的效果,但很少有人关注普通大众是否能够根据说服的目标来选择这些等效框架。鉴于框架效应对民主决策具有重要影响,本文报告了一些实验,这些实验操纵了政策倡导的战略目标(即支持替代性政策提案),并要求受访者在等效框架之间进行选择,以增强倡导对特定目标的说服力。对三个议题的研究结果表明,对于普通成年人来说,只有一小部分人能够根据说服目标选择等效框架,而大多数人则无法做到这一点。此外,一项针对大学生样本的后续研究表明,在沟通政策问题时,对一种等效框架的熟悉程度比对另一种等效框架的熟悉程度更能稳定地预测等效框架的使用。
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引用次数: 0
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Journal of Behavioral Decision Making
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