PLoS ONE · 2019 · 53 citations · 24 references
Natural ResourcesBiodiversity ConservationZoologyConservation ZoologySpecies ConservationWildlife ManagementAnimal IdentificationConservation Status AssessmentProtected Area MonitoringSocial MediaWildlife ConservationWildlife PhotographyEndangered Species MonitoringHuman Disturbance EffectsIndividual Animal IdentificationIndividual IdentificationPublic Perceptions Of WildlifeSealsSocial Media PlatformsWildlife Population Monitoring
The prevalence of social media platforms that share photos and videos could prove useful for wildlife research and conservation programs. When social media users post pictures and videos of animals, near real-time data like individual identification, sex, location, or other information are made accessible to scientists. These data can help inform researchers about animal occurrence, behavior, or threats to survival. The endangered Hawaiian monk seal (Neomonachus schauinslandi) population has only 1,400 seals remaining in the wild. A small but growing population of seals has recently reestablished itself in the human-populated main Hawaiian Islands. While this population growth raises concerns about human-seal interactions it also provides the opportunity to capitalize on human observations to enhance research and conservation activities. We measured the potential utility of non-traditional data sources, in this case Instagram, to supplement current population monitoring of monk seals in the main Hawaiian Islands. We tracked all Instagram posts with the identifier #monkseal for a one-year period and assessed the photos for biological and geographical information, behavioral concerns, human disturbance and public perceptions. Social media posts were less likely to provide images suitable for individual seal identification (16.5%) than traditional sighting reports (79.9%). However, social media enhanced the ability to detect human-seal interactions or animal disturbances: 22.1%, of the 2,392 Instagram posts examined showed people within 3 meters of a seal, and 17.8% indicated a disturbance to the animal, meanwhile only 0.64% of traditional reports noted a disturbance to the animal. This project demonstrated that data obtained through social media posts have value to monk seal research and management strategies beyond traditional data collection, and further development of social media platforms as data resources is warranted. Many conservation programs may benefit from similar work using social media to supplement the research and conservation activities they are undertaking.
24
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy
Rick Bonney, Caren B. Cooper, Janis L. Dickinson et al. · BioScience · 2009 · 2.5K citations
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
Brendan O’Connor, Ramnath Balasubramanyan, Bryan Routledge et al. · Proceedings of the International AAAI Conference on Web and Social Media · 2010 · 2K citations · Full text
Public Affairs, Political Communication, Political Science +17
Social Media Metrics — A Framework and Guidelines for Managing Social Media
Kay Peters, Yubo Chen, Andreas Kaplan et al. · Journal of Interactive Marketing · 2013 · 639 citations · Full text