TY - JOUR
T1 - Linking event archives to news
T2 - a computational method for analyzing the gatekeeping process
AU - Welbers, Kasper
AU - Van Atteveldt, Wouter
AU - Bajjalieh, Joe
AU - Shalmon, Dan
AU - Joshi, Pradnyesh Vineet
AU - Althaus, Scott
AU - Chan, Chung Hong
AU - Wessler, Hartmut
AU - Jungblut, Marc
N1 - Funding Information:
This work was supported by the Deutsche Forschungsgemeinschaft [WE 2888/7-1]; National Endowment for the Humanities [HJ-253500-17]; Dutch: Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) [463-17-004]. We would like to thank the anonymous reviewers at Communication Methods and Measures for their detailed and insightful comments.
Publisher Copyright:
© 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1080/19312458.2021.1953455
DO - 10.1080/19312458.2021.1953455
M3 - Article
AN - SCOPUS:85113794522
SN - 1931-2458
VL - 16
SP - 59
EP - 78
JO - Communication Methods and Measures
JF - Communication Methods and Measures
IS - 1
ER -