2017
DOI: 10.1037/xge0000336
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Social norm perception in groups with outliers.

Abstract: Social outliers draw a lot of attention from those inside and outside their group and yet little is known about their impact on perceptions of their group as a whole. The present studies examine how outliers influence observers' summary perceptions of a group's behavior and inferences about the group's descriptive and prescriptive norms. Across four studies (N = 1739) we examine how observers perceive descriptive and prescriptive social norms in groups containing outliers of varying degrees. We find consistent… Show more

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Cited by 36 publications
(26 citation statements)
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“…In addition, a test of how different emotional distributions affect amplification is also important. For example, recent work suggests that people tend to both discount (Haberman & Whitney, 2010) and overweight (Dannals & Miller, 2017) outliers, depending on their degree of extremity. Whether strong emotional outliers increase or decrease amplification remains unclear.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…In addition, a test of how different emotional distributions affect amplification is also important. For example, recent work suggests that people tend to both discount (Haberman & Whitney, 2010) and overweight (Dannals & Miller, 2017) outliers, depending on their degree of extremity. Whether strong emotional outliers increase or decrease amplification remains unclear.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…Studies suggest that this is possible in part because people overgeneralize from the public behavior of role models to their perception of the overall community norm ( 20 , 21 ). Role models who influence norm perceptions can be people in one’s community who are high status ( 22 , 23 ), who receive lots of attention ( 20 ), and, in some cases, who break with tradition ( 24 ). However, people can even use fictional characters as role models, such as characters in a soap opera ( 25 ).…”
Section: Introductionmentioning
confidence: 99%
“…Similar operations can be performed for simple features like orientation (Alvarez & Oliva, 2009; Elias, Padama, & Sweeny, 2018; Parkes, Lund, Angelucci, Solomon, & Morgan, 2001; Ross & Burr, 2008) velocity and trajectory (Watamaniuk & Duchon, 1992; Watamaniuk, Sekuler, & Williams, 1989), hue (Maule & Franklin, 2015; Webster, Kay, & Webster, 2014), as well as for high-level visual features like facial expression (Elias, Dyer, & Sweeny, 2017; Haberman, Harp, & Whitney, 2009; Haberman & Whitney, 2007, 2009; Im et al, 2017), gaze (Florey, Clifford, Dakin, & Mareschal, 2016; Sweeny & Whitney, 2014), biological motion (Sweeny, Haroz, & Whitney, 2013), identity (de Fockert & Wolfenstein, 2009; Neumann, Schweinberger, & Burton, 2013; Yamanashi Leib, Landau, Baek, Chong, & Robertson, 2012), viewpoints (Yamanashi Leib et al, 2014), and attractiveness (Walker & Vul, 2014). More complex judgments of race, dominance, social norms, and even group membership itself appear to be rooted in ensemble coding, too (Dannals & Miller, 2017; Goldenberg, Sweeny, Shpigel, & Gross, 2020; Lamer, Sweeny, Dyer, & Weisbuch, 2018; Phillips, Slepian, & Hughes, 2018). Summary judgments even appear possible for more abstract targets, like average lifelikeness of plants, nonhuman animals, and household objects (Yamanashi Leib, Kosovicheva, & Whitney, 2016).…”
mentioning
confidence: 99%