Social Bots’ Role in the COVID-19 Pandemic Discussion on Twitter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AI4CJXRXQ" target="_blank" >RIV/00216208:11320/23:I4CJXRXQ - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1660-4601/20/4/3284" target="_blank" >https://www.mdpi.com/1660-4601/20/4/3284</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijerph20043284" target="_blank" >10.3390/ijerph20043284</a>
Alternative languages
Result language
angličtina
Original language name
Social Bots’ Role in the COVID-19 Pandemic Discussion on Twitter
Original language description
"Social bots have already infiltrated social media platforms, such as Twitter, Facebook, and so on. Exploring the role of social bots in discussions of the COVID-19 pandemic, as well as comparing the behavioral differences between social bots and humans, is an important foundation for studying public health opinion dissemination."
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"International Journal of Environmental Research and Public Health"
ISSN
1660-4601
e-ISSN
—
Volume of the periodical
20
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
3284
Pages from-to
1-3284
UT code for WoS article
—
EID of the result in the Scopus database
—