ArticlePeerJ2020
Sharing for science: high-resolution trophic interactions revealed rapidly by social media.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Fish Buffet: Dietary Observations in the Oman Saw-Scaled Viper (Ecology and evolution · 2026Article
- Changes in the chemical defenses of an invasive toad indicate drivers and limitations of adaptation.iScience · 2026Article
- Integrating Genomics, Collections, and Community Science to Delimit Species Clarifies the Taxonomy of a Variable Monitor Lizard (Varanus tristis).Systematic biology · 2026Article
- Review
- Specialist Savvy Versus Generalist Grit: Elucidating the Trade-Offs in Adaptive Dietary Ecomorphology Amongst African Green and Bush Snakes.Ecology and evolution · 2025Article
- Assessment of a Social Media-Based Method for Determining Raptor Diet.Ecology and evolution · 2025Article
- Leveraging social media and other online data to study animal behavior.PLoS biology · 2024Article
- Caught in the web: Exploring spider predation on bats in Europe.Ecology and evolution · 2024Article
- Extracting secondary data from citizen science images reveals host flower preferences of the Mexican grass-carrying waspEcology and evolution · 2024Article
- Social media as a tool to understand the distribution and ecology of elusive mammals.Journal of mammalogy · 2024Article
- Continental scale dietary patterns in a New World raptor using web-sourced photographs.PloS one · 2024Article
- Promoting co-existence between humans and venomous snakes through increasing the herpetological knowledge base.Toxicon: X · 2021Article
- Citizen science and online data: Opportunities and challenges for snake ecology and action against snakebite.Toxicon: X · 2021Article
- Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts.Royal Society open science · 2021Article
- "Flora of Russia" on iNaturalist: a dataset.Biodiversity data journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discrete, ephemeral natural phenomena with low spatial or temporal predictability are incredibly challenging to study systematically. In ecology, species interactions, which constitute the functional backbone of ecological communities, can be notoriously difficult to characterise especially when taxa are inconspicuous and the interactions of interest (e.g., trophic events) occur infrequently, rapidly, or variably in space and time. Overcoming such issues has historically required significant time and resource investment to collect sufficient data, precluding the answering of many ecological and evolutionary questions. Here, we show the utility of social media for rapidly collecting observations of ephemeral ecological phenomena with low spatial and temporal predictability by using a Facebook group dedicated to collecting predation events involving reptiles and amphibians in sub-Saharan Africa. We collected over 1900 independent feeding observations using Facebook from 2015 to 2019 involving 83 families of predators and 129 families of prey. Feeding events by snakes were particularly well-represented with close to 1,100 feeding observations recorded. Relative to an extensive literature review spanning 226 sources and 138 years, we found that social media has provided snake dietary records faster than ever before in history with prey being identified to a finer taxonomic resolution and showing only modest concordance with the literature due to the number of novel interactions that were detected. Finally, we demonstrate that social media can outperform other citizen science image-based approaches (iNaturalist and Google Images) highlighting the versatility of social media and its ability to function as a citizen science platform.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.