Automating the Analysis of Public Saliency and Attitudes towards Biodiversity from Digital Media

arXiv:2405.01610v1 Announce Type: new
Abstract: Measuring public attitudes toward wildlife provides crucial insights into our relationship with nature and helps monitor progress toward Global Biodiversity Framework targets. Yet, conducting such assessments at a global scale is challenging. Manually curating search terms for querying news and social media is tedious, costly, and can lead to biased results. Raw news and social media data returned from queries are often cluttered with irrelevant content and syndicated articles. We aim to overcome these challenges …

abstract analysis arxiv biodiversity cs.cl cs.ir digital digital media framework global insights measuring media nature progress public relationship scale search social social media targets terms type wildlife