Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis
Oil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed su...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/8/5/335 |
| _version_ | 1797568452284645376 |
|---|---|
| author | Joungyoon Chun Jeong-Hwan Oh Choong-Ki Kim |
| author_facet | Joungyoon Chun Jeong-Hwan Oh Choong-Ki Kim |
| author_sort | Joungyoon Chun |
| collection | DOAJ |
| description | Oil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed such negative perceptions in South Korea and the factors influencing them. The findings indicate that the public pays relatively little attention to oil spills but expresses serious concerns about the economic and ecological damage and the health and safety of volunteers and local residents. To improve public perception of oil spills, response strategies should aim to (1) analyze it using social big data to reduce the gap between governmental and public spheres, (2) release timely and accurate information to resolve civil distrust and dissatisfaction, (3) minimize direct damage to local communities and ecosystems affected by oil spills, and (4) reduce the impact on volunteers’ and local residents’ health and safety. Furthermore, through a multidisciplinary approach that combines social big data analysis methods with marine scientific research, it can contribute to creating a disaster response policy tailored to policy consumers. |
| first_indexed | 2024-03-10T19:56:10Z |
| format | Article |
| id | doaj.art-2149197bb4e34ec998888c46b0c00741 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T19:56:10Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-2149197bb4e34ec998888c46b0c007412023-11-19T23:53:12ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-05-018533510.3390/jmse8050335Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data AnalysisJoungyoon Chun0Jeong-Hwan Oh1Choong-Ki Kim2Division for Natural Environment, Water and Land Research Group, Korea Environment Institute (KEI), 370 Sicheong-daero, Sejong 30147, KoreaKorea Research Institute of Ships & Ocean Engineering, 32, Yuseong-daero 1312beon-gil, Yuseong-gu, Daejeon 34103, KoreaDivision for Natural Environment, Water and Land Research Group, Korea Environment Institute (KEI), 370 Sicheong-daero, Sejong 30147, KoreaOil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed such negative perceptions in South Korea and the factors influencing them. The findings indicate that the public pays relatively little attention to oil spills but expresses serious concerns about the economic and ecological damage and the health and safety of volunteers and local residents. To improve public perception of oil spills, response strategies should aim to (1) analyze it using social big data to reduce the gap between governmental and public spheres, (2) release timely and accurate information to resolve civil distrust and dissatisfaction, (3) minimize direct damage to local communities and ecosystems affected by oil spills, and (4) reduce the impact on volunteers’ and local residents’ health and safety. Furthermore, through a multidisciplinary approach that combines social big data analysis methods with marine scientific research, it can contribute to creating a disaster response policy tailored to policy consumers.https://www.mdpi.com/2077-1312/8/5/335oil spillpublic perceptionsocial big dataperception gapresponse policy |
| spellingShingle | Joungyoon Chun Jeong-Hwan Oh Choong-Ki Kim Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis Journal of Marine Science and Engineering oil spill public perception social big data perception gap response policy |
| title | Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis |
| title_full | Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis |
| title_fullStr | Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis |
| title_full_unstemmed | Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis |
| title_short | Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis |
| title_sort | oil spill response policies to bridge the perception gap between the government and the public a social big data analysis |
| topic | oil spill public perception social big data perception gap response policy |
| url | https://www.mdpi.com/2077-1312/8/5/335 |
| work_keys_str_mv | AT joungyoonchun oilspillresponsepoliciestobridgetheperceptiongapbetweenthegovernmentandthepublicasocialbigdataanalysis AT jeonghwanoh oilspillresponsepoliciestobridgetheperceptiongapbetweenthegovernmentandthepublicasocialbigdataanalysis AT choongkikim oilspillresponsepoliciestobridgetheperceptiongapbetweenthegovernmentandthepublicasocialbigdataanalysis |