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Networked Trust: Computational Understanding of Interpersonal Trust Online
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Networked Trust: Computational Understanding of Interpersonal Trust Online. |
| 개인저자 | Ma, Xiao. |
| 단체저자명 | Cornell University. Information Science. |
| 발행사항 | [S.l.]: Cornell University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 219 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
| ISBN | 9781088354247 |
| 학위논문주기 | Thesis (Ph.D.)--Cornell University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Includes supplementary digital materials. Advisor: Naaman, Mor. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | My doctoral research develops a deeper understanding of interpersonal trust online through computational methods, in the context of online exchange platforms including peer-to-peer marketplaces, sharing economy platforms, and social networks. Through analyzing images in product listings on eBay and LetGo.com, language in profiles on Airbnb, and networks in social groups on Facebook, I show how different algorithms help understand and predict interpersonal trust in each context. Findings reveal patterns of interpersonal trust. For example, high-quality images are perceived as more trustworthy than stock imagery |
| 일반주제명 | Information science. Computer science. Artificial intelligence. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
