상세정보
Export to Refworks부가기능
Decoding Human Behaviors from Social Media
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Decoding Human Behaviors from Social Media. |
| 개인저자 | Hu, Tianran. |
| 단체저자명 | University of Rochester. Hajim School of Engineering and Applied Sciences. |
| 발행사항 | [S.l.]: University of Rochester., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 285 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-03A. Dissertation Abstract International |
| ISBN | 9781085750462 |
| 학위논문주기 | Thesis (Ph.D.)--University of Rochester, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-03, Section: A.
Advisor: Luo, Jiebo. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Given its large user base, deep user engagement level, and comprehensive coverage on different human activities, social media offers us a novel and effective lens for observing, analyzing, and gaining better understanding on human behaviors. Our work leverages the data collected from various social media platforms, and attempts to decode human behaviors at both individual and collective levels. From a mobility perspective, we study the relations between human mobility and other aspects of our lives, such as shopping patterns and circadian rhythms. Furthermore, we draw an analogy between human activities across online communities and movements in the physical world. The analogy leads us to a series of findings on the striking similarities between the physical and cyber spaces, and suggests promising new research directions. From a language perspective, we investigate how people from different social groups express themselves. The discovered divergent language patterns reveal the unique features of social groups, such as their interests, perception, personality traits, and so on. We then broaden our study on language to emoji, a type of commonly used non-verbal cue in Computer Mediated Communication, and reveal intentions and effects of using emojis. Our work validates the effectiveness of using social media as the data source for decoding human behaviors. More importantly, our work reveals insightful findings on human behaviours in various aspects, and sheds newer light on our own lives. |
| 일반주제명 | Computer science. Web studies. Behavioral psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
