Social Categorizaiton Flashcards
Social Categorization via Facial Features
- Facial features provide cues for social categorization into groups.
- Categories include perceptually obvious ones (e.g., age, race, and sex) and ambiguous ones (e.g., sexual orientation, political affiliation).
Automatic and Effortless Categorization
- Categorization often occurs unintentionally and unconsciously.
- It involves both cognitive mechanisms (e.g., pattern recognition) and motivational factors (e.g., simplifying social understanding).
Categorization of Obvious Groups
Highly Accurate Judgments:
- People can accurately categorize age, race, and sex using facial features like skin tone, face shape, and structure.
- Example: Observers achieve near-perfect accuracy (99%) when categorizing race from facial portraits.
Automatic Processing
- Recognition of obvious groups triggers distinct cognitive processes.
- Example: Participants categorize gender faster when it aligns with a face they just observed.
Categorization of Ambiguous Groups
Moderate Accuracy:
- Categorizing groups with subtle or ambiguous markers (e.g., sexual orientation, political leaning) exceeds chance but is less accurate (~65% on average).
- People often underestimate their categorization abilities.
Unconscious and Rapid Judgments:
- Snap judgments (e.g., recognizing a sexual orientation from facial cues in 40 milliseconds) are more accurate than deliberate attempts.
Implicit Categorization:
- Even without direct cues or explicit tasks, individuals categorize based on ambiguous features. For instance, likability ratings differ by sexual orientation, even when unmentioned.
Mechanisms Behind Categorization
Perceptual Learning
- Recurring experience with a group enhances recognition of features distinguishing its members
Motivation and Cognitive Efficiency
- Categorization is driven by the need for efficiency and acquiring relevant information
- Women at peak ovulation are better at discerning men’s sexual orientation, likely due to mating motivations.
Categorization-Individuation Model
- People initially categorize based on distinguishing features (shared characteristics) before individuating group members.
- Familiarity with a group improves memory and identification accuracy.
Social Consequences
Stereotyping and Bias
- Categorization shapes perceptions, inferences, and stereotypes
Behavioral Implications
- Categorization influences decision in contexts like hiring or sentencing
Essentialism
- People infer that traits of individuals are inherent to their social categories, reinforcing stereotypes and biases
Implications
- People often categorize accurately with little conscious effort, illustrating the efficiency of human cognition
- However, reliance on categorization can perpetuate biases and reinforce stereotypes
- Categorization affects memory, interpersonal interactions, and judgments in professional or legal contexts
Rudimentary recipe for group stereotypes
- Exaggeration of differences between categories
- Exaggeration of similarities within categories
Rudimentary recipe for prejudice
Ingroup favoritism/bias (us vs them)
Overcoming Ingroup favoritism
It’s hard to overcome
- Increased oxytocin does not lead to reduced intergroup prejudice, it leads to an increase in ingroup favoritism
Potential Strategies to reduce ingroup favoritism
- People have motive to perceive self positively causing prejudice favoring ingroup over outgroup that results in a positive perception of self
Implication
- If people are provided with some other way to feel good about themselves, they may be less motivated to achieve that goal through prejudicial perceptions of ingroup and outgroup
Decategorization
If people are encourage to perceive group members as distinct individuals, it weakens the us vs them
Recategorization
If people are encourage to perceive that both ingroup and outgroup is a part of a bigger group, it can weaken the categorical distinction
Categorization and facial recognition
- Exaggeration of similarities within categories
- Exaggeration of similarities within outgroups [bigger effect] - the outgroup homogeneity effect
- Consequence: relatively poor recognition memory for faces of outgroup members (they all look alike)
Categorization and facial recognition (pt 2, research)
- In general, poorer recognition memory for outgroup faces
- This effect is exaggerated when people are especially concerned about fitting in with and belonging to their ingroup
- This effect can be reduced by intergroup contact
- The effect disappears when perceiving angry faces
Ingroup member -> relevant -> encode features -> accurate recognition
Outgroup member -> irrelevant -> minimal encoding -> poor recognition
Outgroup member -> relevant -> encode features -> accurate recognition
Reputational Concern & Expected Cooperation
RC: Individuals are motivated to maintain positive reputations, especially among those they frequently interact with, such as ingroup members. This concern leads to increased cooperation within one’s own group to uphold a favorable image.
EC: People tend to assume that ingroup members are more likely to reciprocate cooperative behaviors. This expectation encourages cooperation within the group, as individuals anticipate mutual support.
Research shows that the expectation of reciprocity plays a more significant role in ingroup favoritism than RC