Connor Paul, Nicolas Gandalf, Antonoplis Stephen, Koch Alex
Stevens Institute of Technology, Hoboken, NJ, USA.
Rutgers University, Piscataway, NJ, USA.
Pers Soc Psychol Bull. 2024 Jul 30:1461672241266651. doi: 10.1177/01461672241266651.
Dominant models of impression formation focus on two fundamental dimensions: a horizontal dimension of warmth/communion/trustworthiness and a vertical dimension of competence/agency/dominance. However, these models have typically been studied using theory-driven methods and stimuli of restricted complexity. We used a data-driven approach and naturalistic stimuli to explore the latent dimensions underlying >300,000 unconstrained linguistic descriptions of 1,000 Facebook profile pictures from 2,188 participants. Via traditional (Exploratory Factor Analysis) and modern (natural language dictionaries, semantic sentence embeddings) approaches, we observed impressions to form with regard to the horizontal and vertical dimensions and their respective facets of sociability/morality and ability/assertiveness, plus the key demographic variables of gender, age, and race. However, we also observed impressions to form along numerous further dimensions, including adventurousness, conservatism, fitness, non-conformity, and stylishness. These results serve to emphasize the importance of high-dimensional models of impression formation and help to clarify the content dimensions underlying unconstrained descriptions of individuals.
一个是温暖/社交/可信度的水平维度，另一个是能力/能动性/主导性的垂直维度。然而，这些模型通常是使用理论驱动的方法和复杂度受限的刺激来进行研究的。我们采用数据驱动的方法和自然主义刺激，来探索来自2188名参与者对1000张脸书个人资料图片的30多万条无约束语言描述背后的潜在维度。通过传统方法（探索性因素分析）和现代方法（自然语言词典、语义句子嵌入），我们观察到印象在水平和垂直维度及其各自的社交性/道德性和能力/ assertiveness方面形成，以及性别、年龄和种族等关键人口统计学变量。然而，我们也观察到印象在许多其他维度上形成，包括冒险性、保守性、健康状况、不墨守成规和时尚感。这些结果有助于强调印象形成的高维模型的重要性，并有助于阐明对个体无约束描述背后的内容维度。
