政治判断中的党派偏见
Peter H Ditto1, Jared B Celniker2, Shiri Spitz Siddiqi1
1Department of Psychological Science, University of California, Irvine, California, USA;
Annual review of psychology
|September 5, 2024
概括
政治党派表现出强烈的群体内偏见,寻求与他们的信仰一致的信息. 研究的重点应该是了解这种动机政治推理的心理驱动因素和认知机制.
科学领域:
- 政治心理学 政治心理学
- 认知科学 认知科学
- 行为经济学是一种行为经济学.
背景情况:
- 经验数据显示,在党派人士中,在政治判断中存在显著的群体内偏好.
- 党派人士在寻求,相信和回忆确认其政治归属的信息方面表现出系统的偏见.
研究的目的:
- 审查关于党派内部群体偏爱及其心理基础的经验证据.
- 检查围绕党派偏见和动机推理理性的辩论.
- 倡导一种描述性研究方法,专注于党派偏见的预测因素和机制.
主要方法:
- 对政治判断和党派偏见的经验数据的审查.
- 分析心理学文献的动机推理和认知偏见.
- 关于政治推理理性的辩论的表征.
主要成果:
- 群体内偏是政治判断中的一个强有力的现象.
- 动机和认知因素都会导致党派偏见.
- 党派偏见与理性推断的一致性仍然是争论的主题.
结论:
- 建议采用描述性方法来研究党派偏见,优先确定预测因素和机制.
- 未来的研究应该澄清动机政治推理的认知过程.
- 应该通过生态理性来评估政治判断,考虑其对个人福祉和民主治理的影响.
相关概念视频
Bias
3.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
3.9K
The Representativeness Heuristic
15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K
Confirmation Biases
5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K
Bias in Epidemiological Studies
180
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
180
Stereotype Content Model
14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
Group Polarization
34.2K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
34.2K


