Mitarbeitendenverzeichnis

Zeitschriftenaufsatz

Müller, Philipp, Rainer Freudenthaler, Katharina Ludwig, and Chung-hong Chan. 2025. "Associations Measured = Stereotypes Conveyed? A Semantic Validation of Word Embedding-Based Measures of Implicit Group Stereotyping in Large Text Corpora ." Computational Communication Research 7 (1): 1-32. doi: https://doi.org/10.5117/CCR2025.1.14.MULL.

Linde, Maximilian, Chung-hong Chan, and Paul Balluff. 2025. "Rethinking Scaling Up Content Analysis: A Reappraisal of Justifications and Practices for Large-Scale Content Analysis." Journalism & Mass Communication Quarterly online first: . doi: https://doi.org/10.1177/10776990251378122.

Chan, Chung-hong, Hartmut Wessler, Marc Jungblut, Kasper Welbers, Scott Althaus, Joseph Bajjalieh, and Wouter Van Atteveldt. 2024. "Challenging the global cultural conflict narrative: An automated content analysis on how perpetrator identity shapes worldwide news coverage of islamist and right-wing terror attacks." The International Journal of Press/Politics 29 (4): 1064-1089. doi: https://doi.org/10.1177/19401612231157655.

Schoch, David, Chung-hong Chan, Claudia Wagner, and Arnim Bleier. 2024. "Computational reproducibility in computational social science." EPJ Data Science 13 (2 December 2024): 75. doi: https://doi.org/10.1140/epjds/s13688-024-00514-w.

Chan, Chung-hong, Rainer Freudenthaler, and Philipp Müller. 2024. "Developing a synthetic news corpus to validate generic frame detection methods." SCM Studies in Communication and Media 13 (1): 101-124. doi: https://doi.org/10.5771/2192-4007-2024-1-101.

Jakob, Julia, Chung-hong Chan, Timo Dobbrick, and Hartmut Wessler. 2024. "Discourse integration in positional online news reader comments: Patterns of responsiveness across types of democracy, digital platforms, and perspective camps." New Media & Society 26 (11): 6796-6814. doi: https://doi.org/10.1177/14614448231183704.

Jungblut, Marc, Scott Althaus, Joseph Bajjalieh, Chung-hong Chan, Kasper Welbers, Wouter Van Atteveldt, and Hartmut Wessler. 2024. "How shared ties and journalistic cultures shape global news coverage of disruptive media events: the case of the 9/11 terror attacks." Journal of Communication 74 (3): 183-197. doi: https://doi.org/10.1093/joc/jqae004.

TeBlunthuis, Nathan, Valerie Hase, and Chung-hong Chan. 2024. "Misclassification in Automated Content Analysis Causes Bias in Regression: Can We Fix It? Yes We Can!" Communication Methods and Measures 18 (3): 278-299. doi: https://doi.org/10.1080/19312458.2023.2293713.

Chan, Chung-hong, Tim Schatto-Eckrodt, and Johannes Gruber. 2024. "What makes computational communication science (ir)reproducible?" Computational Communication Research 6 (1): 1-30. doi: https://doi.org/10.5117/CCR2024.1.5.CHAN.

Chan, Chung-hong, Tim Schatto-Eckrodt, and Johannes B. Gruber. 2024. "What makes computational communication science (ir)reproducible?" Computational Communication Research 1 (6): 1. doi: https://doi.org/10.5117/ccr2024.1.5.chan.

Chan, Chung-hong, and Adrian Rauchfleisch. 2023. "Bayesian Multilevel Modeling and Its Application in Comparative Journalism Studies." International Journal of Communication 2023 (17): 3700-3721. https://ijoc.org/index.php/ijoc/article/view/19570.

Müller, Philipp, Chung-hong Chan, Katharina Ludwig, Rainer Freudenthaler, and Hartmut Wessler. 2023. "Differential Racism in the News: Using Semi-Supervised Machine Learning to Distinguish Explicit and Implicit Stigmatization of Ethnic and Religious Groups in Journalistic Discourse." Political Communication 40 (4): 396-414. doi: https://doi.org/10.1080/10584609.2023.2193146.

Zeng, Jing, and Chung-hong Chan. 2023. "Envisioning a more inclusive future for digital journalism: A diversity audit of journalism studies (2013–2021)." Digital Journalism 11 (4): 609-629. doi: https://doi.org/10.1080/21670811.2023.2182803.

Ho, Justin Chun-ting, and Chung-hong Chan. 2023. "Evaluating Transferability in Multilingual Analysis." Computational Communication Research 5 (2): 1-20. doi: https://doi.org/10.5117/CCR2023.2.2.HO.

Chan, Chung-hong. 2023. "grafzahl: fine-tuning Transformers for text data from within R." Computational Communication Research 5 (1): 76. doi: https://doi.org/10.5117/CCR2023.1.003.CHAN.

Chan, Chung-hong, and David Schoch. 2023. "rang: Reconstructing reproducible R computational environments." PLoS ONE 16 (6): e0286761. doi: https://doi.org/10.1371/journal.pone.0286761.

Schoch, David, and Chung-hong Chan. 2023. "Rtoot: Collecting and Analyzing Mastodon Data." Mobile Media & Communication 11 (3): 575–578. doi: https://doi.org/10.1177/20501579231176678.

Yen, Chia-yi, Mia Huai-wen Chang, and Chung-hong Chan. 2022. "A Computational Analysis of the Dynamics of R Style Based on 108 Million Lines of Code from All CRAN Packages in the Past 21 Years." R Journal 14 (1): 6-21. doi: https://doi.org/10.32614/RJ-2022-006.

Chan, Chung-hong. 2022. "sweater: Speedy Word Embedding Association Test and Extras Using R." Journal of Open Source Software 7 (72): 4036. doi: https://doi.org/10.21105/joss.04036.

Chan, Chung-hong, Jing Zeng, and Mike S. Schäfer. 2022. "Whose research benefits more from Twitter? On Twitter-worthiness of communication research and its role in reinforcing disparities of the field." PLoS ONE 17 (12): e0278840. doi: https://doi.org/10.1371/journal.pone.0278840.

Konferenzbeitrag

Balluff, Paul, Christina Viehmann, Maximilian Linde, Yannik Peters, Jun Sun, and Chung-hong Chan. 2026. "Beyond beyond standardization: Studying robustness of empirical claims from topic modeling through multiverse analysis." 76th Annual International Communication Association Conference, Kapstadt.

Viehmann, Christina, Chung-hong Chan, Felix Victor Münch, and Ahrabhi Kathirgamalingam. 2026. "Der Methods Hub - eine Open-Source Ressource für die Computational Communication Science ." 71. Jahrestagung der Deutschen Gesellschaft für Publizistik- und Kommunikationswissenschaft, TU Dortmund, Dortmund.

Bleier, Arnim, Johannes Kiesel, Christina Viehmann, Chung-hong Chan, Po-Chun Chang, Raniere Gaia Costa da Silva, Muhammad Taimoor Khan, Stephan Linzbach, Fakhri Momeni, Felix Victor Münch, Ran Yu, Claudia Wagner, and Stefan Dietze. 2026. "The Methods Hub: Integrating Tools, Tutorials, and Environments for Transparent Online Research." GOR Annual Conference 2026, Rheinische Fachhochschule Cologne, Köln, 2025-11-14.

Viehmann, Christina, Jun Sun, Haiko Lietz, and Chung-hong Chan. 2025. "Methods Hub - An Open Source Repository and Interactive Learning Environment for Computational Tools Enabling Network Analysis ." NetSci 2025 Satellite Workshop.

Ehrungen und Preise

Chan, Chung-hong, Tim Schatto-Eckrodt, and Johannes Gruber. 2024. "Top Paper award for "What Makes Computational Communication Science (Ir)reproducible" by Computational Methods Division of International Communication Association."

Chan, Chung-hong, and Rainer Freudenthaler. 2023. "Top paper award for "A Benchmark Dataset for Detecting Frames in Multi-topical News Content" by Computational Methods Division of International Communication Asssociation."

TeBlunthuis, Nathan, Valerie Hase, and Chung-hong Chan. 2023. "Top Paper Award for "Automated Content Misclassification Causes Bias in Regression. Can We Fix It? Yes We Can!" by Computational Methods Division of International Communication Association ."