New Methodological Perspectives in Political Communication Research: Machine Learning and Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3APJQXPMRI" target="_blank" >RIV/00216208:11320/23:PJQXPMRI - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/10.1007/978-3-031-33716-1_2" target="_blank" >https://link.springer.com/10.1007/978-3-031-33716-1_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-33716-1_2" target="_blank" >10.1007/978-3-031-33716-1_2</a>
Alternative languages
Result language
angličtina
Original language name
New Methodological Perspectives in Political Communication Research: Machine Learning and Algorithms
Original language description
"Political communication has seen a rise in the use of algorithms and machine learning techniques. Scholars show that these techniques can be used to study new communication routines essential to understanding sophisticated political processes."
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
"Digital Communication and Populism in Times of Covid-19"
ISBN
978-3-031-33715-4
Number of pages of the result
16
Pages from-to
13-28
Number of pages of the book
262
Publisher name
Springer Nature Switzerland
Place of publication
Cham
UT code for WoS chapter
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