Leveraging social media and other online data to study animal behavior
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F24%3A00605261" target="_blank" >RIV/60077344:_____/24:00605261 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41330/24:98672
Result on the web
<a href="https://doi.org/10.1371/journal.pbio.3002793" target="_blank" >https://doi.org/10.1371/journal.pbio.3002793</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pbio.3002793" target="_blank" >10.1371/journal.pbio.3002793</a>
Alternative languages
Result language
angličtina
Original language name
Leveraging social media and other online data to study animal behavior
Original language description
The widespread sharing of information on the Internet has given rise to ecological studies that use data from digital sources including digitized museum records and social media posts. Most of these studies have focused on understanding species occurrences and distributions. In this essay, we argue that data from digital sources also offer many opportunities to study animal behavior including long-term and large-scale comparisons within and between species. Following Nikko Tinbergen's classical roadmap for behavioral investigation, we show how using videos, photos, text, and audio posted on social media and other digital platforms can shed new light on known behaviors, particularly in a changing world, and lead to the discovery of new ones.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GA23-07278S" target="_blank" >GA23-07278S: Harnessing iEcology and culturomics to advance invasion science</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLOS Biology
ISSN
1544-9173
e-ISSN
1545-7885
Volume of the periodical
22
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
e3002793
UT code for WoS article
001304091700002
EID of the result in the Scopus database
2-s2.0-85202842796