AI Article Synopsis
- Digital data from sources like internet queries and social media is growing rapidly, providing vast amounts of information.
- There are now accessible tools to compile this data and analyze its metadata, revealing valuable insights.
- The text emphasizes the benefits and challenges of using online data to study host-parasite interactions, urging parasitologists to adopt new methods in iParasitology.
Article Abstract
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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| http://dx.doi.org/10.1016/j.pt.2021.01.003 | DOI Listing |
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Department of Zoology, University of Otago, P.O. Box 56, Dunedin, New Zealand.
Article Synopsis
- Digital data from sources like internet queries and social media is growing rapidly, providing vast amounts of information.
- There are now accessible tools to compile this data and analyze its metadata, revealing valuable insights.
- The text emphasizes the benefits and challenges of using online data to study host-parasite interactions, urging parasitologists to adopt new methods in iParasitology.
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