Publications

Monographs and edited volumes

• Gross, M., M. Jankowski & D. Nyhuis. Forthcoming. Empirische Kommunalpolitikforschung. Wiesbaden: Springer VS.
• König, P. & D. Nyhuis. Forthcoming. Politische Kommunikation analysieren: Grundlagen, Zugänge, Anwendungen. Wiesbaden: Springer VS.
• Munzert, S., C. Rubba, P. Meißner & D. Nyhuis. 2014. Automated data collection with R: A practical guide to web scraping and text mining. Hoboken: Wiley. Translated into Chinese and Japanese.
• Nyhuis, D. 2014. Linking voters, parties, and candidate communication: Strategic ambiguity in German elections. Dissertation. Mannheim: University of Mannheim.

Articles with peer review

• Shikano, S. & D. Nyhuis. Forthcoming. The effect of incumbency on ideological and valence perceptions of parties in multilevel polities. Public Choice.
• Zittel, T., D. Nyhuis & M. Baumann. Forthcoming. Geographic representation in party-dominated legislatures: A quantitative text analysis of parliamentary questions in the German Bundestag. Legislative Studies Quarterly.
• König, P. & D. Nyhuis. Forthcoming. Assessing the applicability of vote advice applications for estimating party positions. Party Politics.
• Zittel, T. & D. Nyhuis. 2019. Two faces of party unity: Roll call behavior and vote explanations in the German Bundestag. Parliamentary Affairs, 72(2), 406-24.
• Song, H., D. Nyhuis & H. Boomgaarden. 2019. A network model of negative campaigning: The structure and determinants of negative campaigning in multi-party systems. Communication Research, 46(2), 273-94.
• Nyhuis, D. & P. König. 2018. Estimating the conflict dimensionality in the German Länder from vote advice applications, 2014-2017. Statistics, Politics and Policy, 9(1), 57-86.
• Nyhuis, D. & C. Plescia. 2018. The nonideological component of coalition preferences. Party Politics, 24(6), 686-97.
• Nyhuis, D. 2018. Separating candidate valence and proximity voting: Determinants of competitors’ non-policy appeal. Political Science Research and Methods, 6(1), 135-51.
• Nyhuis, D. 2017. Estimating policy positions of local parties in elections with multi-vote ballots. Local Government Studies, 43(3), 475-98.
• Nyhuis, D. 2016. Partei oder Person? Parteispezifische Wahlmotive bei baden-württembergischen Kommunalwahlen. Zeitschrift für Parlamentsfragen, 47(3), 642-54.
• Nyhuis, D. 2016. Electoral effects of candidate valence. Electoral Studies. 42, 33-41.
• Nyhuis, D. 2014. Mehr Stimmen gleich bessere demokratische Qualität? Negative Effekte der Komplexität des Wahlrechts auf die Zusammensetzung der Wählerschaft. Zeitschrift für Politikwissenschaft, 24(3), 255-80.

Contributions in edited volumes

• Nyhuis, D. Forthcoming. Web data collection: Potentials and challenges. In: Curini, L. & R. J. Franzese Jr. (eds.) The handbook of research methods in political science and international relations. London: Sage.
• Nyhuis, D. Forthcoming. Big Data. In: Tausendpfund, M. (ed.) Fortgeschrittene Forschungsmethoden in den Sozialwissenschaften. Hagen: Fernuniversität Hagen.
• Munzert, S. & D. Nyhuis. Forthcoming. Die Nutzung von Webdaten in den Sozialwissenschaften. In: Wagemann, C., A. Goerres & M. Siewert (eds.) Handbuch Methoden der Politikwissenschaft. Wiesbaden: Springer VS.
• Nyhuis, D. & T. Faas. 2018. Twitter als Spiegel öffentlicher Meinung? Die Schätzung politischer Bewertungen auf Twitter mittels halbautomatischer Textklassifizierung. In: Behnke, J., A. Blätte, K.-U. Schnapp & C. Wagemann (eds.) Computational Social Science: Die Analyse von Big Data. Baden-Baden: Nomos, 235-53.
• Nyhuis, D. & S. Shikano. 2018. The effect of scandals on political preferences: The case of the CDU donations scandal in Germany, 1999-2000. In: Haller, A., H. Michael & M. Kraus (eds.) Scandalogy: An interdisciplinary field. Cologne: Herbert von Halem, 155-71.
• Nyhuis, D. & J. Friederich. 2017. Begleitung des TV-Duells auf Twitter. In: Faas, T., J. Maier & M. Maier (eds.) Merkel gegen Steinbrück: Analysen zum TV-Duell vor der Bundestagswahl 2013. Wiesbaden: Springer VS, 157-72.

Working papers

• Baumann, M. & D. Nyhuis. Inherent motivation in legislative collaboration: Cosponsorship networks in three European parliaments.
• König, P., D. Nyhuis & S. Shikano. Populist challengers and the dimensionality of political conflict: The rise of an anti-establishment dimension.
• Nyhuis, D. Local policy preferences, competing principals, and strategic candidate ambiguity.
• Nyhuis, D., L. Behrens, T. Gschwend, T. Ringwald, M. S. Sarfraz & R. Stiefelhagen. Beyond text as data: Automated video analysis for research on legislative politics.
• Nyhuis, D. & T. Faas. Second screen effects on perceived candidate performance.
• Nyhuis, D., M. Henneke & T. Zittel. Representation beyond the district: A party-level rationale for geographic representation.
• Nyhuis, D. & S. Shikano. Short-term dynamics of political preferences: Candidate valence during electoral campaigns.
• Nyhuis, D., H. Song & H. Boomgaarden. Disproportionality in media representations of campaign negativity.
• Nyhuis. D. & L. Stoetzer. A comprehensive model for estimating party ambiguity.
• Nyhuis, D., T. Zittel & M. Henneke. The politicization of social divisions in legislative contexts: A dictionary-based analysis of parliamentary questions in the German Bundestag.

Recent conference contributions and invited talks

• Nyhuis, D., L. Behrens, T. Gschwend, T. Ringwald & R. Stiefelhagen. 2019. Individual salience attributions in the US House of Representatives: Evidence from an automated analysis of parliamentary video recordings. Annual Conference of the MPSA. Chicago, April 4–7.
• Nyhuis, D., L. Behrens, T. Gschwend, T. Ringwald, M. S. Sarfraz & R. Stiefelhagen. 2019. Beyond text as data: Computer vision in political research. Conference of the PSA Methodology Group. Warwick, January 11.
• Nyhuis, D. & P. König. 2018. Estimating the conflict dimensionality in the German Länder from vote advice applications, 2014–2017. ECPR General Conference. Hamburg, August 22–25.
• Zittel, T., D. Nyhuis & M. Baumann. 2018. Geographic representation in party dominated legislatures: The case of the German Bundestag. ECPR General Conference. Hamburg, August 22–25.
• König, P., D. Nyhuis & S. Shikano. 2018. Populist challengers and the dimensionality of political conflict: The rise of an anti-establishment dimension. Annual Conference of the EPSA. Vienna, June 21–23.
• König, P., D. Nyhuis & S. Shikano. 2018. Populistische Herausforderer und politische Konfliktdimensionalität. Meeting of the DVPW working groups “Politik und Kommunikation” and “Wahlen und politische Einstellungen”. Berlin, May 24–25.
• Shikano, S., D. Nyhuis, P. König & T. Küntzler. 2018. Populistische Herausforderer in Deutschland: Ein multikategoriales Item Response Modell zur Analyse politischer Konfliktdimensionalität. Meeting of the DVPW section “Methoden der Politikwissenschaft”. Frankfurt, May 4–5.
• Czulo, O., D. Nyhuis & A. Weyell. 2018. The effect of terroristic events on the framing of extremism in mediated public discourse. General Online Research. Cologne, February 28-March 2.
• Nyhuis, D. & S. Shikano. 2018. Short-term dynamics of political preferences: Candidate valence during electoral campaigns. Conference of the PSA Methodology Group. Essex, January 12.
• Zittel, T. & D. Nyhuis. 2017. Three faces of party unity: Roll call behavior and vote explanations in the German Bundestag. ECPR General Conference. Oslo, September 6–9.
• Ceyhan, S., D. Nyhuis & T. Zittel. 2017. The dilemma of intra-party democracy: Candidate selection and the quality of legislators. Conference of the ECPR Standing Group on Parliaments. Basel, June 29–July 1.
• Nyhuis, D., M. Henneke & T. Zittel. 2017. Representation beyond the district: A party-level rationale for geographic representation. Annual Conference of the EPSA. Milan, June 22–24.
• Nyhuis, D., M. Henneke & T. Zittel. 2017. Geographic representation in legislative text: Generating dictionaries for automated content analyses of individual parliamentary instruments. Meeting of the DVPW section “Methoden der Politikwissenschaft”. Mainz, May 12–14.
• Stoetzer, L. & D. Nyhuis. 2017. A comprehensive statistical model for estimating party ambiguity. Annual Meeting of the PSA. Glasgow, April 10–12.