Psychological Analysis in Social Media (Keynote Abstract)

摘要

This keynote addresses psychological aspects in social media. It has been 30 years since the idea of the World Wide Web has been proposed as a distributed hypertext system. Some types of web services have evolved into social media. The Web and social media brought two contributions in the academic research field. One is for computer science. Artificial intelligence, whether it is developed by production systems or machine learning algorithms, had never had much knowledge or learning data before the birth of the Web. Because many people write contents on the Web, this gave much knowledge or data to computers. Another is for social science and psychology. Researchers in these areas should rely on the questionnaire survey and the interview to the limited number of people, which cannot fully present the user's behavior or internal mind. However, social media changed the paradigm of the research in these areas. Because many people share their experience on social media, it gave the researchers the user's actual action logs. This helps them to know or infer what is going on in society or what each user thinks in their situation. This keynote focuses on the latter perspective especially on user psychology, and shows some research works related to it. Examples of the research works are the relationship between the user's rating activity and their personality in recommender systems, the relationship between the user's self-expression, especially the type of profile image and the quantity of activities in the social media, the relationship between the user's self-disclosure, especially the name, face photo and affiliation, and their privacy awareness (anonymity consciousness), and the relationship between the user's general activity on social media and their susceptibility of envy. Finally, this keynote shows the future direction on the psychology on IT environment.