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코로나19 백신 관련 트위터 상의 이슈 확산 양상 분석: 이슈 현저성을 중심으로

Analysis of the Spread of Issues Related to COVID-19 Vaccine on Twitter: Focusing on Issue Salience

  • 홍주현 (국민대학교 언론정보학부 미디어 전공) ;
  • 이미나 (국민대학교 언론정보학부 광고홍보학 전공)
  • 투고 : 2021.11.01
  • 심사 : 2021.11.08
  • 발행 : 2021.11.30

초록

이 연구는 코로나19 백신 접종 도입 단계에서 트위터 상에서 코로나19 백신과 관련된 이슈가 어떻게 확산되었는지 이슈 현저성을 중심으로 규명하기 위해 네트워크 분석을 했다. 1기(백신 도입 초기: 2021년 3월 7일~4월 3일), 2기(접종률 정체기: 2021년 4월 4일~4월 22일), 3기(접종률 증가기: 2021년 4월 23일~5월 5일)로 시기를 구분하고 시기에 따른 이슈 확산 경향을 분석했다. 자료의 수집과 분석에는 노드엑셀(NodeXL) 프로그램을 사용하였다. 코로나19 백신과 연관성이 높은 검색어를 입력하여 일별 트위터 네트워크 자료를 수집하여 분석한 결과, 분석 기간 전체에서 부작용 관련 의견이 반복적으로 형성되어 부작용 관련 이슈의 현저성이 높은 것으로 나타났다. 접종률이 증가하고 접종 후 사망사례가 보도된 후 사망 관련 이슈도 트위터에서 부각되었다. 반면 트위터에서 백신 안전성 관련 이슈는 크게 주목받지 못했다. 본 연구 결과는 국가의 재난재해 위기가 발생했을 때 이슈 확산 채널로서 소셜미디어의 역할을 제고하고, 정부가 소셜미디어 상의 공중의 의견을 상시 모니터링하여 향후 위기 커뮤니케이션 전략 방안에 반영해야 할 필요성을 강조한다.

This study conducted a network analysis to determine how COVID-19 vaccine-related issue spread on Twitter during the introduction stage of the COVID-19. Issue diffusion tendency is analyzed according to the time period: phase 1 (initiation of vaccine introduction: March 7 - April 3, 2021), phase 2 (stagnant period of vaccination: April 4 - April 22, 2021), and phase 3 (increase of vaccination: April 23 - May 5, 2021). NodeXL was used for data collection and analysis. Daily Twitter network data were collected by entering search terms highly related to the COVID-19 vaccine. This study found that side effects-related opinions were repeatedly formed throughout the analysis period. As the vaccination rate increased and death cases were reported on media, death-related issues also emerged on Twitter. On the other hand, vaccine safety did not receive much attention on Twitter. The results of this study highlight the role of social media as a channel of issue diffusion when a national disaster strikes. We emphasize the need for the government to monitor public opinions on social media and reflect them in crisis communication strategies.

키워드

참고문헌

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