Published online by Cambridge University Press: 29 September 2017
Do coders of political texts incorporate prior beliefs about parties’ issue stances into their coding decisions? We report results from a coding experiment in which ten coders were each given 200 statements on immigration that were extracted from election manifestos. Party labels in these statements were randomly assigned (including a control category without party cues). Coders were more likely to code a statement as pro-immigration if it was attributed to the Greens and less likely choose the anti-immigration category if it was attributed to the populist radical right. No effect was found for mainstream parties of the center-left and center-right. The results also suggest that coders resort to party cues as heuristics when faced with ambiguous policy statements.
Laurenz Ennser-Jedenastik, Assistant Professor (firstname.lastname@example.org) and Thomas M. Meyer, Assistant Professor (email@example.com), Department of Government, University of Vienna, Rooseveltplatz 3/1, 1090 Vienna. To view supplementary material for this article, please visit https://doi.org/10.1017/psrm.2017.29
Ennser-Jedenastik and Meyer supplementary material 1