Lauren M. Jaebker, Hailey E. McLean, S. Shwiff, Keith M. Carlisle, Tara L. Teel, A. Bright, A. Anderson
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Machine Learning as a Tool for Wildlife Management and Research: The Case of Wild Pig-Related Content on Twitter
Wild pigs (Sus scrofa) are a non-native, invasive species that cause considerable damage and transmit a variety of diseases to livestock, people, and wildlife. We explored Twitter, the most popular social media micro-blogging platform, to demonstrate how social media data can be leveraged to investigate social identity and sentiment toward wild pigs. In doing so, we employed a sophisticated machine learning approach to investigate: (1) the overall sentiment associated with the dataset, (2) online identities via user profile descriptions, and (3) the extent to which sentiment varied by online identity. Results indicated that the largest groups of online identity represented in our dataset were females and people whose occupation was in journalism and media communication. While the majority of our data indicated a negative sentiment toward wild pigs and other related search terms, users who identified with agriculture-related occupations had more favorable sentiment. Overall, this article is an important starting point for further investigation of the use of social media data and social identity in the context of wild pigs and other invasive species.
期刊介绍:
Human–Wildlife Interactions (HWI) serves the professional needs of the wildlife biologist and manager in the arena of human–wildlife conflicts/interactions, wildlife damage management, and contemporary wildlife management. The intent of HWI is to publish original contributions on all aspects of contemporary wildlife management and human–wildlife interactions with an emphasis on scientific research and management case studies that identify and report innovative conservation strategies, technologies, tools, and partnerships that can enhance human–wildlife interactions by mitigating human–wildlife conflicts through direct and indirect management of wildlife and increased stakeholder engagement. Our intent is to promote a dialogue among wildlife professionals concerning contemporary management issues. As such, we hope to provide a repository for wildlife management science and case studies that document and share manager experiences and lessons learned.