@article{330007fa3bcb4bae9fdcac7995a22afe,
title = "The future of crowd-sourced cultural ecosystem services assessments",
keywords = "Automated image content analysis, Crowd-sourced data, Cultural ecosystem services, Semantic analysis, Social media",
author = "Johannes Langemeyer and Andrea Ghermandi and Bonnie Keeler and {van Berkel}, Derek",
note = "Funding Information: AG and JL are supported by the German-Israeli Foundation for Scientific Research & Development #I-1533-500.15/2021. JL is supported by the EU-H2020 through grants #818002, and #869324. DVB is supported by the US National Science Foundation (NSF) through grant #73133571. The Special Issue development was additionally supported through discussions and insights from dedicated sessions during Ecosystem Service Partnership Conferences, including “Making the intangible tangible: Using social media data to assess cultural ecosystem services” (ESP-EU Conference, San Sebastian, 2018), “Mapping cultural ecosystem service: use of social media to assess cultural ecosystem services” (ESP-WORLD Conference, Hannover, 2019), and “Cultural Ecosystem Services: Time to advance theory and practice” (ESP-EU Conference, Tallinn, 2020). Additional support emerged from the activities of Thematic Group 19 on “Big data and digital communication” of the Ecosystem Services Partnership.",
year = "2023",
month = apr,
doi = "https://doi.org/10.1016/j.ecoser.2023.101518",
language = "American English",
volume = "60",
journal = "Ecosystem Services",
issn = "2212-0416",
publisher = "Elsevier BV",
}