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Stereotype Content Model02:16

Stereotype Content Model

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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...
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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
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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?
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在线虚假信息易受影响量表:开发和初步验证

Aglaia Katsiroumpa1, Ioannis Moisoglou2, Polyxeni Mangoulia1

  • 1Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, 11527 Athens, Greece.

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概括
此摘要是机器生成的。

研究人员开发了在线虚假信息易受影响度表 (OMISS),以衡量个人在网上轻易相信虚假信息的程度. 这种经过验证的工具有助于识别那些容易受到在线错误信息影响的人,帮助有针对性的干预.

关键词:
发展发展发展发展发展.假新闻是虚假的新闻.错误的信息 错误的信息问卷调查问卷 问卷调查问卷这是一个规模的尺度,规模的尺度.社交媒体 社交媒体易感性 易感性 易感性工具 工具 工具 工具验证验证的时间网站网站网站网站网站网站网站网站网站网站

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科学领域:

  • 心理学 心理学 心理学
  • 信息科学 信息科学 信息科学
  • 公共卫生 公共卫生

背景情况:

  • 网络上广泛传播的错误信息带来了重大的社会风险.
  • 现有的衡量在线虚假信息易受影响的工具缺乏.
  • 开发可靠的尺度对于理解和减轻错误信息影响至关重要.

研究的目的:

  • 开发和验证在线虚假信息易感度表 (OMISS).
  • 创建一个在心理测量上健全的工具来评估对在线错误信息的脆弱性.

主要方法:

  • 用于项目生成和专家内容验证的文献审查.
  • 认知面试用于面部有效性和因子分析用于构造有效性.
  • 与虚假新闻检测,信任和阴谋信念等级对比的同时有效性;使用Cronbach的alpha,麦当劳的Omega和ICC分析的可靠性.

主要成果:

  • 探索性和确认性因子分析支持一个九项,一个因子的OMISS模型.
  • 欧米斯 (OMISS) 显示出强大的并发有效性,在多个尺度上有显著的相关性.
  • 高可靠性是由克伦巴赫的alpha (0.920),麦当劳的Omega (0.921) 和ICC (0.994) 表示的.

结论:

  • OMISS是一个经过心理测量验证的工具,用于测量在线错误信息的易受性.
  • OMISS可以有效地识别那些相信错误信息的风险较高的人.
  • 调查结果支持政策制定者,教育工作者和医疗保健专业人员使用OMISS来针对干预措施.