Social media is helping to fill data gaps in global biodiversity research

A recent study led by international research institutions, including the University of Jena and iDiv, shows that integrating social media data with established databases such as GBIF can increase the number of available observations by about 35%.

Using the butterfly Acraea terpsicore as an example, the study demonstrated that combined datasets significantly improve the accuracy of distribution models and reveal previously unrecognized range expansions. Especially in underrepresented regions, user-generated image data provides crucial supplements to traditional monitoring approaches.

At the same time, the authors point out methodological limitations, particularly regarding taxonomic uncertainties and biases resulting from observational preferences. Nevertheless, the results underscore the potential of social media as a scalable data source for real-time recording of biogeographic dynamics in the context of global environmental change.

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