Presentation information

General Session

General Session » J-13 AI application

[3O5-GS-13] AI application: Emotions and AI

Thu. Jun 11, 2020 3:40 PM - 5:20 PM Room O (jsai2020online-15)


4:40 PM - 5:00 PM

[3O5-GS-13-04] Basic Study of Reader's Envy to Post Content in SNS

〇Saya Oishi1, Yoshinori Hijikata1 (1. Kwansei Gakuin University)

Keywords:SNS, envy, post content

In the field of social informatics, the researchers have investigated what kind of users are easy to make social comparison and feel envy in various SNS. However, it has not been clarified what kind of content is likely to make people envy. In this study, we examine the relationship between the users' easiness to feel envy to the post and the following characteristics of the post: (i) the degree of extraordinary feeling of the post, (ii) the relationship between the author and people in the photos, and (iii) the text length of the post. We created a persona account on Instagram and conducted an experiment using actual posts to clarify whether the user felt envy or not. When multiple regression analysis was performed on the collected answer data, only the attribute of who was recorded in the photo had a relationship with the users' feeling of envy.

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