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An issue analysis on microplastics using topic modeling
Summary
This Korean study used topic modeling (LDA algorithm) to analyze news coverage of microplastics from 2001 to 2022, extracting ten major topic clusters. The analysis found that public discourse has centered on health and safety, environmental pollution, single-use waste, policy, and citizen action — insights that can help align research priorities with public concerns.
본 연구에서는 최근 국내외적으로 관심을 받고 있는 미세플라스틱 관련 기사에 대해 토픽을 추출하고 분석하였다. 2001년부터 2022년까지의 기간 동안 미세플라스틱 관련 기사를 수집하여 Latent Dirichlet allocation (LDA) 알고리즘 기반의 토픽모델링을 적용하여 주요 이슈를 파악하고 총 10개의 토픽을 추출하였다. 이들 토픽들은 주로 생활과 건강, 환경 오염, 일회용 폐기물과 리사이클링, 정책 관리, 시민 행동, 관련 제품 등으로 최근의 국민들의 관심을 잘 반영하였다. 연구 결과는 미세플라스틱 문제를 해결하고자 시도할 때 먼저 건강과 안전의 관점에서 정책이 수립되어야 함을 시사한다. 또한 국제적으로 해양 미세플라스틱의 분포와 이동에 관한 국제적 연구와 저감을 위한 국제사회 협력을 도출할 수 있는 협력방안이 필요한 것으로 여겨진다.
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