Challenges of passive citizen science in ecology within a shifting social media landscape

Effective conservation relies on comprehensive ecological data, including detailed species occurrences, to track distribution shifts, detect invasive species, and assess wildlife-human interactions. Despite recent technological advancements, environmental and biodiversity monitoring still faces financial and logistical limitations. Passive citizen science, which gathers data from social media platforms, provides a complementary approach that has proven effective in monitoring plants, insects, coral reefs, birds, recreational fishing, or marine pollution, among others. However, the rapid transformation of established social media platforms, the emergence of new distributed networks, and the rise of misinformation are reshaping the social media landscape and casting uncertainty on the future of this method. In this Viewpoint article, we review the current challenges of passive citizen science and call for strengthening this valuable approach for regional solutions that consider linguistic diversity, multiple data sources, fluctuating user engagement, and the integration of artificial intelligence tools for supervising and classifying images and text. At the policy level, a collaborative effort between platform providers and policymakers is essential to democratize research data access. • Passive citizen science plays a crucial role in ecology and conservation. • Social media landscape is characterized by user platform migrations, increasing access API costs, and legal uncertainties. • Transparent, standardized, and accessible policies governing data use must be prioritized. • It is necessary to account for linguistic diversity, multiple sources and incorporate AI tools.

Authors

Institutions

Publication Details

Journal
Ecological Informatics
Published
2025-06-13
DOI
https://doi.org/10.1016/j.ecoinf.2025.103278
Citations
4
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
7.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges of passive citizen science in ecology within a shifting social media landscape

Pablo Otero, David March, Javier Menéndez‐Blázquez
4 citations
Ecological Informatics
Species Distribution and Climate Change
7.35
article

Challenges of passive citizen science in ecology within a shifting social media landscape

Pablo Otero, David March, Javier Menéndez‐Blázquez
article en
4 citations

Abstract

Effective conservation relies on comprehensive ecological data, including detailed species occurrences, to track distribution shifts, detect invasive species, and assess wildlife-human interactions. Despite recent technological advancements, environmental and biodiversity monitoring still faces financial and logistical limitations. Passive citizen science, which gathers data from social media platforms, provides a complementary approach that has proven effective in monitoring plants, insects, coral reefs, birds, recreational fishing, or marine pollution, among others. However, the rapid transformation of established social media platforms, the emergence of new distributed networks, and the rise of misinformation are reshaping the social media landscape and casting uncertainty on the future of this method. In this Viewpoint article, we review the current challenges of passive citizen science and call for strengthening this valuable approach for regional solutions that consider linguistic diversity, multiple data sources, fluctuating user engagement, and the integration of artificial intelligence tools for supervising and classifying images and text. At the policy level, a collaborative effort between platform providers and policymakers is essential to democratize research data access. • Passive citizen science plays a crucial role in ecology and conservation. • Social media landscape is characterized by user platform migrations, increasing access API costs, and legal uncertainties. • Transparent, standardized, and accessible policies governing data use must be prioritized. • It is necessary to account for linguistic diversity, multiple sources and incorporate AI tools.

Ecological InformaticsVol. 90
University of Exeter (GB), Parc Científic de la Universitat de València (ES), Instituto Español de Oceanografía (ES)
Generalitat Valenciana, European Regional Development Fund, Organismo Autónomo Parques Nacionales, Interreg
Reduced inequalities
Openalex Percentile: Top 3%
Species Distribution and Climate Change
7.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.