Linking event archives to news: a computational method for analyzing the gatekeeping process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10441626" target="_blank" >RIV/00216208:11320/22:10441626 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=w9HMhwyGJ3" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=w9HMhwyGJ3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/19312458.2021.1953455" target="_blank" >10.1080/19312458.2021.1953455</a>
Alternative languages
Result language
angličtina
Original language name
Linking event archives to news: a computational method for analyzing the gatekeeping process
Original language description
Digital archives that document real-world events provide new opportunities for large-scale analyses of how news coverage represents reality. We present a method and open-source tool for linking event data to news articles, and demonstrate its application with an analysis of event and country level predictors of terrorism coverage in The Guardian from 2006 to 2018, using event data from the Global Terrorism Database (GTD). Our method builds on established techniques for calculating document similarity, and we propose a novel strategy for fine-tuning parameters of the event matching algorithm that requires no manual coding. An online appendix is provided that documents all code to replicate our analysis and reuse our tools.
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
50802 - Media and socio-cultural communication
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communication Methods and Measures
ISSN
1931-2458
e-ISSN
1931-2466
Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
59-78
UT code for WoS article
000687090700001
EID of the result in the Scopus database
2-s2.0-85113794522