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In People We Trust: How Trust and Network Closure Impact Factual Beliefs and (Mis)Information Sharing
In People We Trust: How Trust and Network Closure Impact Factual Beliefs and (Mis)Information Sharing
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153111
- ISBN
- 9798384460541
- DDC
- 384
- 저자명
- Li, Qin.
- 서명/저자
- In People We Trust: How Trust and Network Closure Impact Factual Beliefs and (Mis)Information Sharing
- 발행사항
- [Sl] : The Ohio State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 260 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
- 학위논문주기
- Thesis (Ph.D.)--The Ohio State University, 2024.
- 초록/해제
- 요약Social connections and social networks play pivotal roles in shaping citizens' information environment. Despite their importance, we are far from understanding whether, and in what ways, social networks contribute to citizens' beliefs about and sharing of facts and falsehoods. In this dissertation, building on the regulatory perspective of social networks, I argue that trust plays an important role in how individuals process (mis)information encountered through the grapevine, and that network closure-a structural factor of networks pertaining to whether two individuals share a mutual tie-can enhance trust in a communication partner, thereby contributing to factual beliefs and (mis)information sharing. Using an interactive experiment, in which participants play economic trust games with a (bot) communication partner whose benevolence and integrity is manipulated, I find that exposure to factual claims shared by a trustworthy (or an untrustworthy) partner has no detectable impact on factual beliefs and (mis)information sharing compared with exposure to factual claims online. Through two methodological studies, I show that network closure can be manipulated using trust games, in which participants interact with two other individuals who indeed are bots, to evoke more or less trust in a communication partner. These results raise the possibility that trust in a communication partner might be less important as we typically assume, but the findings are far from conclusive for various reasons. They bring up new questions about whether different types of trust might contribute to factual beliefs and (mis)information sharing differently. More broadly, by using interactive experiments in which participants interact with bots and play trust games, my dissertation has important methodological implications for the study of interpersonal and network processes.
- 일반주제명
- Communication
- 일반주제명
- Social psychology
- 일반주제명
- Social research
- 키워드
- Misinformation
- 키워드
- Disinformation
- 키워드
- Social networks
- 키워드
- Trust
- 키워드
- Network closure
- 키워드
- Factual beliefs
- 기타저자
- The Ohio State University Communication
- 기본자료저록
- Dissertations Abstracts International. 86-04B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798384460541
■035 ▼a(MiAaPQ)AAI31693696
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a384
■1001 ▼aLi, Qin.
■24510▼aIn People We Trust: How Trust and Network Closure Impact Factual Beliefs and (Mis)Information Sharing
■260 ▼a[Sl]▼bThe Ohio State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a260 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-04, Section: B.
■5021 ▼aThesis (Ph.D.)--The Ohio State University, 2024.
■520 ▼aSocial connections and social networks play pivotal roles in shaping citizens' information environment. Despite their importance, we are far from understanding whether, and in what ways, social networks contribute to citizens' beliefs about and sharing of facts and falsehoods. In this dissertation, building on the regulatory perspective of social networks, I argue that trust plays an important role in how individuals process (mis)information encountered through the grapevine, and that network closure-a structural factor of networks pertaining to whether two individuals share a mutual tie-can enhance trust in a communication partner, thereby contributing to factual beliefs and (mis)information sharing. Using an interactive experiment, in which participants play economic trust games with a (bot) communication partner whose benevolence and integrity is manipulated, I find that exposure to factual claims shared by a trustworthy (or an untrustworthy) partner has no detectable impact on factual beliefs and (mis)information sharing compared with exposure to factual claims online. Through two methodological studies, I show that network closure can be manipulated using trust games, in which participants interact with two other individuals who indeed are bots, to evoke more or less trust in a communication partner. These results raise the possibility that trust in a communication partner might be less important as we typically assume, but the findings are far from conclusive for various reasons. They bring up new questions about whether different types of trust might contribute to factual beliefs and (mis)information sharing differently. More broadly, by using interactive experiments in which participants interact with bots and play trust games, my dissertation has important methodological implications for the study of interpersonal and network processes.
■590 ▼aSchool code: 0168.
■650 4▼aCommunication
■650 4▼aSocial psychology
■650 4▼aSocial research
■653 ▼aMisinformation
■653 ▼aDisinformation
■653 ▼aSocial networks
■653 ▼aTrust
■653 ▼aNetwork closure
■653 ▼aFactual beliefs
■653 ▼aMisinformation sharing
■690 ▼a0459
■690 ▼a0344
■690 ▼a0451
■71020▼aThe Ohio State University▼bCommunication.
■7730 ▼tDissertations Abstracts International▼g86-04B.
■790 ▼a0168
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164996▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


