2017 13th AASVET International Conference (2017.10)바로가기
페이지
pp.64-64
저자
Dr. Ching-pu CHIAO, Kanru LIN
언어
영어(ENG)
URL
https://www.earticle.net/Article/A331516
원문정보
초록
영어
Based on Rotter’s social learning theory, monitoring a person’s behaviors in social contexts might help to understand a person’s intrinsic motivation and personality. This research was therefore directed to examine the link between Big Five personality and self-presentation in terms of photo-sharing on the social media, Instagram. There were two studies of this research: the qualitative and the quantitative stages. Data in the first study were collected from 41 students from vocational universities. The researchers monitored and logged the photos shared by the participants and recorded their photo-sharing behaviors daily. Participants then responded to Big Five Inventory to assess their personalities (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness). Based on the results of the first stage, a survey was created and sent to 230 students in the second study. Collected data were then statistically analyzed to examine if differences of photo-sharing pattern existed between different personalities. Results identified most popular types of photos shared on Instagram. There was also a relationship between personality and photo-sharing types. Openness and Extraversion were positively correlated with sharing more photos of selfie and food. Conscientious people tended not to share photos related to entertainment (e.g., Idol and Movie). Neuroticism was significantly correlated with sharing photos about feeling. The results demonstrate that observing a person’s photo-sharing patterns, we may be able to see if this person is appropriate for certain jobs. Educators should also remind students that they are supposed to be prudent about their activities online so that their employability will not be ill-tempered in the future.
키워드
Cognitive Learning TheoryPersonalityBig FiveInstagramPhoto-sharingSocial NetworkSocial Media
저자
Dr. Ching-pu CHIAO [ National Yunlin University of Science & Technology ]
Kanru LIN [ National Yunlin University of Science & Technology ]