Online sentiment towards iconic species. (January 2020)

• Record Type: Journal Article
• Authors: Fink, Christoph; Hausmann, Anna; Di Minin, Enrico
• Is Part Of: Biological conservation. Volume 241(2020)
• Publication Date: 2020-01
• Subjects: Digital conservation -- Culturomics -- Illegal wildlife trade -- Natural language processing -- Social media -- Sentiment analysis; Conservation of natural resources -- Periodicals; Nature conservation -- Periodicals; Ecology -- Periodicals; Environment -- Periodicals; Environmental Pollution -- Periodicals; Electronic journals; 333.9516
• DOI: 10.1016/j.biocon.2019.108289
• Languages: English
• ISSNs: 0006-3207

Abstract

Highlights: Sentiment analysis can detect prominent conservation events on digital media. Tragic events triggered the strongest online reactions towards rhino conservation. The loudest voices originated in non-range countries. Online news and social media data on rhinoceros correlated, and complemented each other. Results can be used to inform conservation management and decision-making. Abstract: Studies assessing online public sentiment towards biodiversity conservation are almost non-existent. The use of social media data and other online data sources is increasing in conservation science. We collected social media and online news data pertaining to rhinoceros, which are iconic species especially threatened by illegal wildlife trade, and assessed online sentiment towards these species using natural language processing methods. We also used an outlier detection technique to identify the most prominent conservation-related events imprinted into this data. We found that tragic events, such as the death of the last male northern white rhinoceros, Sudan, in March 2018, triggered the strongest reactions, which appeared to be concentrated in western countries, outside rhinoceros range states. We also found a strong temporal cross-correlation between social media data volume and online news volume in relation to tragic events, while other events only appeared in either social media or online news. Our results highlight that the public is concerned about biodiversity loss and this, in turn, can be used to increase pressure on decision makers to develop adequate conservation actions that can help reverse the biodiversity crisis. The proposed methods and analyses can be used to infer sentiment towards any biodiversity topic from digital media data, and to detect which events are perceived most important to the public.