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Bähr, Sebastian, Georg-Christoph Haas, Florian Keusch, Frauke Kreuter and Mark Trappmann (2022): Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data. Social Science Computer Review, 40, issue 1, pp. 212–235. more
Böhmelt, Tobias, Lawrence Ezrow and Roni Lehrer (2022): Populism and intra-party democracy. European Journal of Political Research, 61, issue 4, pp. 1143-1154. more
Bühler, Babette, Katja Möhring and Andreas P. Weiland (2022): Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques. Quality & Quantity, 56, pp. 4747–4774. more
Carey, Sabine C., Belén González and Christian Gläßel (2022): Divergent Perceptions of Peace in Post-Conflict Societies: Insights from Sri Lanka. Journal of Conflict Resolution, 66, issue 9, pp. 1589-1618. more
Cernat, Alexandru, and Florian Keusch (2022): Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology, 25, issue 1, pp. 79-90. more
Chan, Chung-hong (2022): Bayesian (Comparative) Journalism Studies. [72nd Annual International Communication Association Conference, Paris, May 26th to May 30th, 2022] more
Chan, Chung-hong (2022): An R Package for Detecting Biases in Word Embeddings. [72nd Annual International Communication Association Conference, Paris, May 26th to May 30th, 2022] more
Chan, Chung-hong (2022): sweater: Speedy Word Embedding Association Test and Extras Using R. Journal of Open Source Software, 7, issue 72, (article no. 4036), pp. 1-8. more
Chan, Chung-hong, and Christiane Grill (2022): The Highs in Communication Research: Research Topics With High Supply, High Popularity, and High Prestige in High-Impact Journals. Communication Research, 49, issue 5, pp. 599–626. more
Cheng, Cindy, Amélie Desvars-Larrive, Bernhard Ebbinghaus, Thomas Hale, Alexandra Howes, Lukas Lehner, Luca Messerschmidt, Angeliki Nika, Steve Penson, Anna Petherick, Hanmeng Xu, Alexander Zapf, Yuxi Zhang and Sophia Zweig (2022): Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science. Scientific Data, 9, (article no. 520), pp. 1-9. more

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