Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis ...
In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people’s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information on cultural ecosyste...
| Main Authors: | , , , |
|---|---|
| Format: | Dataset |
| Language: | unknown |
| Published: |
DataverseNO
2020
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.18710/duanrp https://dataverse.no/citation?persistentId=doi:10.18710/DUANRP |
| Summary: | In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people’s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information on cultural ecosystem services from photographs across large samples of people and countries. We analysed over 800,000 Flickr photographs using Google’s Cloud Vision algorithm to identify the components of the natural environment most photographed and to map how and where different people interact with nature across eight Arctic countries. Almost all (91.1%) of users took one or more photographs of biotic nature, and such photos account for over half (53.2 %) of Arctic photos on Flickr. We find that although the vast majority of Arctic human-nature interactions occur outside protected areas, people are slightly more likely to photograph nature inside protected areas after accounting for the low accessibility of Arctic protected ... |
|---|