Characterizing the illegal trade of carnivores on a social media platform in Iran

Illegal wildlife trade threatens biodiversity globally and has become more accessible through social media, where traffickers reach buyers in minimally regulated spaces. Despite Iran's strategic location on major trade routes, little is known about its wildlife markets, particularly on online platforms and in Persian-language contexts. This study examines the illegal trade of native and non-native carnivores on Instagram in Iran using data from 293 public advertisements posted throughout 2022. Non-native species, such as lions, were more prevalent in the live animal trade, while native species, like red foxes, were more often advertised for their body parts. Trade in native species exhibited a significant seasonal peak in spring and summer, aligning with birthing seasons. In contrast, trade in non-native species showed no significant seasonal trend, suggesting sourcing through international or captive networks. To understand marketing strategies, we conducted a reflexive thematic analysis of Persian-language captions and photos. Four key themes emerged: commodification of wildlife, normalization of captivity, status signalling, and controlled access. Sellers emphasized tameness, luxury appeal, and exclusivity to attract consumers, while rarely mentioning biological traits. The advertisements portrayed wild animals as desirable consumer products, obscuring their conservation status and the ethical implications of using them. Our findings underscore the urgent need for enhanced monitoring in non-English contexts, targeted enforcement during peak seasons, and platform-level interventions to disrupt the online wildlife trade in underregulated regions, such as Iran.

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Publication Details

Journal
Biological Conservation
Published
2025-10-11
DOI
https://doi.org/10.1016/j.biocon.2025.111521
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterizing the illegal trade of carnivores on a social media platform in Iran

Alireza Mohammadi, Mohammad S. Farhadinia, Pourya Sardari, David Lindsay Roberts et al.
Biological Conservation
Identification and Quantification in Food
article

Characterizing the illegal trade of carnivores on a social media platform in Iran

Alireza Mohammadi, Mohammad S. Farhadinia, Pourya Sardari, David Lindsay Roberts, Gerard T. Kyle, Nima Badelu, Pardis Rajabipour
article en

Abstract

Illegal wildlife trade threatens biodiversity globally and has become more accessible through social media, where traffickers reach buyers in minimally regulated spaces. Despite Iran's strategic location on major trade routes, little is known about its wildlife markets, particularly on online platforms and in Persian-language contexts. This study examines the illegal trade of native and non-native carnivores on Instagram in Iran using data from 293 public advertisements posted throughout 2022. Non-native species, such as lions, were more prevalent in the live animal trade, while native species, like red foxes, were more often advertised for their body parts. Trade in native species exhibited a significant seasonal peak in spring and summer, aligning with birthing seasons. In contrast, trade in non-native species showed no significant seasonal trend, suggesting sourcing through international or captive networks. To understand marketing strategies, we conducted a reflexive thematic analysis of Persian-language captions and photos. Four key themes emerged: commodification of wildlife, normalization of captivity, status signalling, and controlled access. Sellers emphasized tameness, luxury appeal, and exclusivity to attract consumers, while rarely mentioning biological traits. The advertisements portrayed wild animals as desirable consumer products, obscuring their conservation status and the ethical implications of using them. Our findings underscore the urgent need for enhanced monitoring in non-English contexts, targeted enforcement during peak seasons, and platform-level interventions to disrupt the online wildlife trade in underregulated regions, such as Iran.

Biological ConservationVol. 313
University of Jiroft (IR), Michigan Department of Natural Resources (US), University of Kent (GB), Shahid Beheshti University (IR), Ferdowsi University of Mashhad (IR)
UK Research and Innovation, Research England
Openalex Percentile: Top 74%
Identification and Quantification in Food
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