온라인 커뮤니티에 드러난 MZ세대의 감성과 여론조사 간 상관관계에 관한 연구

• 영문명: A Study on the Relationship between the Emotions of the MZ Generation Revealed in Online Communities and Public Opinion Surveys
• 발행기관: 한국IT서비스학회
• 저자명: 최한별 김수림 양희동
• 간행물 정보: 『한국IT서비스학회지』제22권 제3호, 101~118쪽, 전체 18쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

The ‘MZ generation’ is accustomed to expressing their thoughts and opinions online. As a result, the role of social media in understanding the opinions and public sentiment of the MZ generation has become increasingly important. In particular, the role of social media in understanding the opinions of young people in political contexts such as policies and elections is becoming more significant. Traditionally, in such political situations, various institutions conduct opinion surveys to grasp the opinions of the people. However, existing opinion surveys have many errors and limitations in understanding the specific opinions of the entire population since they are conducted on arbitrary individuals through survey techniques. Online communities are representative social media that share the opinions of the public on specific issues such as politics, economics, and culture. Therefore, online communities are widely used as a means to supplement the limitations of traditional opinion polls. In particular, the MZ generation is familiar with online platforms, and their political support has significant influence on election results and policy decisions. With this regard, this study analyzed the relationship between the sentiment reflected in online community text data by age group on major candidates and public opinion survey support rates during the Korean presidential election for those in their 20s. The analysis showed that negative sentiments reflected in online communities by the MZ generation have a negative correlation with public opinion survey support rates. This study contributes to theory and practice by revealing a significant association between social media and public opinion polls.

목차

1. 서론

2. 이론적 배경

3. 연구 방법론

4. 분석 결과

5. 논의사항

참고문헌

키워드

MZ Generation Online Community Public Opinion Survey Text Analysis Sentiment Analysis