A Research for Finding Relationship Between Mass Media and Social Media Based on Agenda Setting Theory

摘要

We are living in a flood of information. We hear about lots of social issues such as politics and economies in every day from the mass media. Before the appearance social media, it is difficult to interact people's opinions with the others about the social issues. However, we can analyze important social issues using big data generated from social media. We tried to apply the relationship between agenda setting theory and social media because we have received social issues from official accounts like news using social media, and then users shared social issues to other users, so we choose tweets of Baltimore Riot to analyze. We collected tweets related with Baltimore Riot, and then we extracted term keywords using text mining technologies such as TF-IDF. Actually, we analyzed tweets of 04-27-2015 Based on detected important words, we analyzed tweets at 5-min intervals, and we extracted tweets of mass media and others. Based on user's profiles, we found relationship of mass media and social issues. About initial phase of the social issues as it happened, local mass media leaded about incidents, and tweets exchanged and shared in local area. After writing an influence Twitter user, social issues of Baltimore Riot spread to other areas. As a result, we could detect agenda setting theory in social media using big data technology. It implies that the local mass media led the social issues, the Baltimore Riot became one of major social issues to people at the end.