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Stereotypes as Snowballing Historical Affordances: How a Societal Group's Image Becomes a Cognitive Avalanche
Stereotypes as Snowballing Historical Affordances: How a Societal Group's Image Becomes a Cognitive Avalanche
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151138
- ISBN
- 9798382806860
- DDC
- 150
- 저자명
- Bai, Xuechunzi.
- 서명/저자
- Stereotypes as Snowballing Historical Affordances: How a Societal Groups Image Becomes a Cognitive Avalanche
- 발행사항
- [Sl] : Princeton University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 129 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
- 주기사항
- Advisor: Fiske, Susan T.;Griffiths, Thomas L.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2024.
- 초록/해제
- 요약How do stereotypes get started? Despite a century of research, the psychological origins of stereotypes remain obscure and contested (Chapter 1: Touring the Landscape). Moving a step forward, this dissertation identifies one minimal condition for stereotypes to emerge: limited exploration. People choose interactions on the basis of past interactions, and this is enough to create perceived differences even when there are no actual differences between groups - regardless of whether people's choices are motivated by factors such as in-group favoritism, cognitive limitations such as selective attention, or information deficits resulting from the rarity of minorities (Chapter 2: Sketching the Mechanism). Although psychologically minimal, this mechanism is powerful. It can account for more than good versus bad valence; it can explain why stereotypes have multiple dimensions, including but not limited to the canonical warmth and competence dimensions (Chapter 3: Enriching the Context). What's more, human biases are now infiltrating powerful large language models, snowballing stereotypes into artificial intelligence (Chapter 4: Sneaking into Artificial Intelligence). But there is hope. Increased exposure to diverse populations might reduce stereotypes (Chapter 5: Finding Solutions). However, mere diversity is not enough. A social system that can encourage continuous exploration is more effective (and a starting point is provided via intervention experiments in Chapter 3). Finally, a forward-looking note draws a blueprint for the future of stereotyping research in particular and social cognition in general (Chapter 6: Toward Social Cognition 2.0).
- 일반주제명
- Psychology
- 일반주제명
- Personality psychology
- 일반주제명
- Social psychology
- 일반주제명
- Cognitive psychology
- 키워드
- Stereotypes
- 키워드
- Snowballing
- 키워드
- Social cognition
- 기타저자
- Princeton University Psychology
- 기본자료저록
- Dissertations Abstracts International. 85-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211151138
■006m o d
■007cr#unu||||||||
■020 ▼a9798382806860
■035 ▼a(MiAaPQ)AAI31148812
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a150
■1001 ▼aBai, Xuechunzi.
■24510▼aStereotypes as Snowballing Historical Affordances: How a Societal Group's Image Becomes a Cognitive Avalanche
■260 ▼a[Sl]▼bPrinceton University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a129 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: B.
■500 ▼aAdvisor: Fiske, Susan T.;Griffiths, Thomas L.
■5021 ▼aThesis (Ph.D.)--Princeton University, 2024.
■520 ▼aHow do stereotypes get started? Despite a century of research, the psychological origins of stereotypes remain obscure and contested (Chapter 1: Touring the Landscape). Moving a step forward, this dissertation identifies one minimal condition for stereotypes to emerge: limited exploration. People choose interactions on the basis of past interactions, and this is enough to create perceived differences even when there are no actual differences between groups - regardless of whether people's choices are motivated by factors such as in-group favoritism, cognitive limitations such as selective attention, or information deficits resulting from the rarity of minorities (Chapter 2: Sketching the Mechanism). Although psychologically minimal, this mechanism is powerful. It can account for more than good versus bad valence; it can explain why stereotypes have multiple dimensions, including but not limited to the canonical warmth and competence dimensions (Chapter 3: Enriching the Context). What's more, human biases are now infiltrating powerful large language models, snowballing stereotypes into artificial intelligence (Chapter 4: Sneaking into Artificial Intelligence). But there is hope. Increased exposure to diverse populations might reduce stereotypes (Chapter 5: Finding Solutions). However, mere diversity is not enough. A social system that can encourage continuous exploration is more effective (and a starting point is provided via intervention experiments in Chapter 3). Finally, a forward-looking note draws a blueprint for the future of stereotyping research in particular and social cognition in general (Chapter 6: Toward Social Cognition 2.0).
■590 ▼aSchool code: 0181.
■650 4▼aPsychology
■650 4▼aPersonality psychology
■650 4▼aSocial psychology
■650 4▼aCognitive psychology
■653 ▼aStereotypes
■653 ▼aCognitive avalanche
■653 ▼aSnowballing
■653 ▼aSocial cognition
■690 ▼a0621
■690 ▼a0625
■690 ▼a0633
■690 ▼a0451
■71020▼aPrinceton University▼bPsychology.
■7730 ▼tDissertations Abstracts International▼g85-12B.
■790 ▼a0181
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160931▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
