Four best practices for measuring news sentiment using ‘off-the-shelf’ dictionaries: a large-scale p-hacking experiment

Chung-hong Chan, Joe Bajjalieh, Loretta Auvil, Hartmut Wessler, Scott L. Althaus, Kasper Welbers, Wouter van Atteveldt, Marc Jungblut

Research output: Contribution to JournalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)1-27
Number of pages27
JournalComputational Communication Research
Volume3
Issue number1
DOIs
Publication statusPublished - Mar 2021

Funding

1 We would like to thank Dr. Stefanie Walter (Zentrum für Medien-, Kommunikations-und Informationsforschung, Universität Bremen) and Professor Sandra González-Bailón (Annenberg School for Communication, University of Pennsylvania) for sharing details about their studies. This project was funded by a research grant from the 1) German Research Foundation (Deutsche Forschungsgemeinschaft), 2) The Netherlands Organisation for Scientific Research (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) and 3) the National Endowment for the Humanities, through the Trans-Atlantic Platform’s Digging into Data Challenge funding program. This paper has been provisionally accepted by Computational Communication Research. Source code and data are available at https://github.com/chainsawriot/ots/ Online appendix is available at https://doi.org/10.17605/OSF.IO/UTXS5 Correspondence concerning this article should be addressed to Chung-hong Chan, A5, 6 (section A), 68159 Mannheim, Germany. E-mail: [email protected]

FundersFunder number
National Endowment for the Humanities
Deutsche Forschungsgemeinschaft
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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