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iParasitology: Mining the Internet to Test Parasitological Hypotheses
Journal article   Peer reviewed

iParasitology: Mining the Internet to Test Parasitological Hypotheses

Robert Poulin, Jerusha Bennett, Antoine Filion, Upendra Raj Bhattarai, Xuhong Chai, Daniela de Angeli Dutra, Erica Donlon, Jean-François Doherty, Fátima Jorge, Marin Milotic, …
Trends in parasitology, Vol.37(4), pp.267-272
04/2021

Abstract

citizen science crowdsourcing digital data Google searches machine learning social media
Digital data (internet queries, page views, social media posts, images) are accumulating online at increasing rates. Tools for compiling these data and extracting their metadata are now readily available. We highlight the possibilities and limitations of internet data to reveal patterns in host–parasite interactions and encourage parasitologists to embrace iParasitology.

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