Forecasting of Low Fertility Policies Based on Social Big Data

Abstract

Big data consists of various forms of data in large volumes, which are rapidly created. Therefore, it requires a new management and analysis methodology. Moreover, as social media platforms emerge as the source of information about the feelings and sentiments of the current times with messages on politics, economics, society, and culture, policy agendas set up in public spheres can be identified from social media. Countless comments between individuals and society evolve as a log of information, which continues to evolve as an asset for public policy. As such, many nations and businesses actively strive for new economic effects, job creation, as well as solving social problems through the utilization and analysis of social big data created through social networking services. This study proposes study methodologies and utilization strategies of social big data that can create value and predict the future by gathering and analyzing social big data from various fields. This purpose of this study is to forecast demands for the low fertility policies based on social big data.