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      RPC-Lex: A dictionary to measure German right-wing populist conspiracy discourse online

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          Abstract

          We describe a novel computational dictionary for the study of right-wing populist conspiracy discourse ( RPC) on the internet, specifically in the context of contemporary German politics. After first presenting our definition of conspiracy discourse and grounding it in antecedent research on mediated rhetoric at the intersection of right-wing populism and conspiracy theory, we proceed by outlining our approach to dictionary construction, relying on a combination of manual and automated methods. We validate our dictionary via parallel manual coding of 2,500 sentences using the categories contained in the dictionary as labels and compare the consensus result with the label assigned to each sentence by the dictionary, achieving satisfactory results. We then test our approach on two different datasets composed of alternative news articles and Facebook comments that spread conspiracy theories. Finally, we summarize our observations both on the methodological premises of the approach and on the object of populist right-wing conspiracy discourse and its dynamics more broadly. We close with an outlook on the potentials and limitations of the dictionary-based approach and future directions in applications of content analysis to the study of conspiracy discourse.

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          Most cited references155

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          Populism: A Very Short Introduction

          Cas Mudde (2017)
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            Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

            Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.
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              quanteda: An R package for the quantitative analysis of textual data

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                Author and article information

                Journal
                Convergence (Lond)
                Convergence (Lond)
                spcon
                CON
                Convergence (London, England)
                SAGE Publications (Sage UK: London, England )
                1354-8565
                1748-7382
                21 June 2022
                August 2022
                : 28
                : 4
                : 1144-1171
                Affiliations
                [1-13548565221109440]Ringgold 9168, universityUniversity of Bremen; , Germany
                [2-13548565221109440]Ringgold 27209, universityUniversity of Basel; , Switzerland
                [3-13548565221109440]Ringgold 27209, universityUniversity of Basel; , Switzerland
                [4-13548565221109440]Ringgold 27209, universityUniversity of Basel; , Switzerland
                [5-13548565221109440]Ringgold 27209, universityUniversity of Basel; , Switzerland
                Author notes
                [*]Cornelius Puschmann, ZeMKI, University of Bremen, Linzer Str. 4, Bremen 28359, Germany. Email: puschmann@ 123456uni-bremen.de
                Author information
                https://orcid.org/0000-0002-3189-0662
                https://orcid.org/0000-0002-9312-7806
                Article
                10.1177_13548565221109440
                10.1177/13548565221109440
                9515517
                bec21caa-0769-4530-b5e0-c344f9d1037b
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, FundRef https://doi.org/10.13039/501100001711;
                Award ID: Halbwahrheiten (Nicola Gess)
                Categories
                Special Issue: Conspiracy Theories in Digital Environments
                Custom metadata
                ts10

                automated content analysis,conspiracy theories,dictionary,germany,political communication,right-wing populism,social media

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