Measuring the name recognition of politicians through Wikipedia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A96633" target="_blank" >RIV/60460709:41110/24:96633 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/17457289.2021.2009485" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17457289.2021.2009485</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17457289.2021.2009485" target="_blank" >10.1080/17457289.2021.2009485</a>
Alternative languages
Result language
angličtina
Original language name
Measuring the name recognition of politicians through Wikipedia
Original language description
We examine how Wikipedia data can be useful for political analysis. Our primary aim is to determine whether Wikipedia page views can be used as a strong proxy for name recognition. Name recognition is an important variable for political science research, but conducting surveys to discover the name recognition of politicians can be cost prohibitive for many researchers. To help researchers overcome this obstacle, we conducted a survey of Czech citizens asking them if they knew each of the 200 members of the Chamber of Deputies of the Czech Republic. Then, we downloaded Wikipedia page information on these deputies. We found that name recognition is strongly correlated with page views on Wikipedia. The more well-known deputies have significantly higher page views on Wikipedia. We recommend that political science researchers requiring an appropriate proxy for name recognition use the free Wikimedia API, which offers page information data.
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
50601 - Political science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
JOURNAL OF ELECTIONS PUBLIC OPINION AND PARTIES
ISSN
1745-7289
e-ISSN
1745-7289
Volume of the periodical
34
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
180-189
UT code for WoS article
000726429400001
EID of the result in the Scopus database
2-s2.0-85121138877