ArticleAnimals : an open access journal from MDPI2022
Wildlife Photos on Social Media: A Quantitative Content Analysis of Conservation Organisations' Instagram Images.
Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Beyond Social Media: Curated Monitoring Footage as a Biodiversity Information Source for Conservation.Animals : an open access journal from MDPI · 2026Article
- Threats to conservation from artificial-intelligence-generated wildlife images and videos.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Article
- Context Matters: How Decontextualization Influences Public Perception and Conservation Attitudes Toward Barbary Macaques in Algeria.Animals : an open access journal from MDPI · 2025Article
- Behind the Trend: An Examination of Primate Content on TikTok.American journal of primatology · 2025Article
- The 'Sanctuary Gap': Reviewing the Research on Captive Wildlife Sanctuary Tourism.Animals : an open access journal from MDPI · 2025Article
- Article
- Article
- TikTok'sAnimals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wildlife populations are vanishing at alarmingly high rates. This issue is being addressed by organisations around the world and when utilizing social media sites like Instagram, images are potentially more powerful than words at conveying crucial conservation messages and garnering public support. However, different elements of these images have been shown to potentially have either positive or negative effects on viewers' attitudes and behaviours towards wildlife and towards the organisation posting the image. This study used a quantitative content analysis to assess the most common and engaging elements of wildlife images posted to Instagram in 2020 and 2021, using Australian conservation organisations as a case study. A total of 670 wildlife images from the Instagram accounts of 160 conservation organisation Instagram accounts were coded and analysed. Results highlight that the most common image elements used included natural backgrounds, mammals and birds, and no human presence. In addition, it was found that the taxon of the animal featured in a post and the presence of humans did not impact engagement levels. Our findings highlight the potential for Instagram posts to feature and promote a wide range of currently underrepresented species, and for conservation organisations to be able to confidently share and post images that promote positive perceptions of both the animal and the conservation organisation.
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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.