Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter.
Stefano BruzzeseWasim AhmedSimone BlancFilippo BrunPublished in: International journal of environmental research and public health (2022)
Social media data reveal patterns of knowledge, attitudes, and behaviours of users on a range of topics. This study analysed 4398 tweets gathered between 17 January 2022 and 3 February 2022 related to ecosystem services, using the keyword and hashtag "ecosystem services". The Microsoft Excel plugin, NodeXL was used for social and semantic network analysis. The results reveal a loosely dense network in which information is conveyed slowly, with homogeneous, medium-sized subgroups typical of the community cluster structure. Citizens, NGOs, and governmental administrations emerged as the main gatekeepers of information in the network. Various semantic themes emerged such as the protection of natural capital for the sustainable production of ecosystem services; nature-based solutions to protect human structures and wellbeing against natural hazards; socio-ecological systems as the interaction between human beings and the environment; focus on specific services such as the storage of atmospheric CO 2 and the provision of food. In conclusion, the perception of social users of the role of ecosystem services can help policymakers and forest managers to outline and implement efficient forest management strategies and plans.
Keyphrases
- healthcare
- climate change
- mental health
- network analysis
- social media
- human health
- primary care
- health information
- endothelial cells
- risk assessment
- emergency department
- affordable care act
- dna methylation
- machine learning
- palliative care
- genome wide
- big data
- mass spectrometry
- health insurance
- air pollution
- electronic health record
- particulate matter
- data analysis