소셜 빅데이터 분석을 통해 알아본 대중의 ‘미드’에 관한 인식및 자기주도적 영어학습 행태: 유튜브와 트위터를 중심으로

The purpose of this study is to explore the Korean public’s perceptions of American TV dramas as well as their self-motivated English learning patterns through an analysis of social media big data. For this purpose, we extracted texts containing the phrase ‘American TV drama’ from Twitter and YouTube, and analyzed them by using network, frequency, and semantic analyses. The study revealed that (1) while the public share information about American TV dramas on Twitter, their opinions and ideas about learning English using American TV dramas are mainly discussed on YouTube; (2) social network analysis of the top 20 words showed that ‘English’ and ‘study’ played a central role in explaining ‘American TV drama’; and (3) the public perceived watching American TV dramas to be a good learning method for self-study of English and suitable for learning the expressions used by native speakers. This study is significant in that (1) text-based data was visually and quantitatively analyzed; (2) it utilized both text mining and social network analysis of the same subject; and (3) more than 2,000 comments on social media enabled access to more specific and natural opinions of the public about the given topic. Pedagogical implications are provided.