Curriculum Vitae of Dr. Daniel Röchert
Dr. Daniel Röchert
Researcher
Address: Forsthausweg 2, 47057 Duisburg
Room: LF 218
Office hours: by arrangement
Phone: +49 203 379 - 2630
E-Mail: daniel.roechert@uni-due.de
Areas of Interest:
- Social Media Analytics
- Machine Learning & Deep Learning
- Predictive Analytics
- Information Systems
Academic Qualifications
2016-2017 |
M. Sc., Information Engineering and Computer Science, Rhine-Waal University of Applied Science, Germany |
2012-2016 |
B. Sc., Media Communication and Computer Science, Rhine-Waal University of Applied Science, German |
Professional Background
Since 2018 |
Researcher in the Junior Research Group "Digital Citizenship in Network Technologies" (DICINT), University of Duisburg-Essen |
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2017 |
Student research assistant - Cognitive Computing in z/OS mainframe system – Predictive Analytics: IBM Deutschland Research and Development GmbH, Böblingen |
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2017 |
Student research assistant - Cognitive Computing in z/OS mainframe system – Predictive Analytics: IBM Deutschland Research and Development GmbH, Böblingen |
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2016 |
Student research assistant - Database Management Systems: Fraunhofer Institute for Microelectronic Circuits and Systems (IMS), Duisburg |
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2015-2016 |
Student research assistant - Web Application Engineering: Fraunhofer Institute for Industrial Engineering (IAO), Stuttgart |
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2015 |
Student trainee - Web Application Engineering: Fraunhofer Institute for Industrial Engineering (IAO), Stuttgart |
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2014 | Student research assistant - IT-Support: Rhine-Waal University of Applied Science, Kamp-Lintfort |
Publications
Journal Articles and Conference Proceedings (with peer review)
Röchert, D., Neubaum, G., Ross, B., Brachten, F., & Stieglitz, S (2020). Opinion-based Homogeneity on YouTube: Combining Sentiment and Social Network Analysis. Computational Communication Research (CCR) 2(1), pp. 81–108, DOI: https://doi.org/10.5117/CCR2020.1.004.ROCH.
Röchert, D., Weitzel, M., Ross, B. (2020). The homogeneity of right-wing populist and radical content in YouTube recommendations. In International Conference on Social Media and Society (SMSociety ’20), Toronto, July 2020, 245-254. DOI: https://doi.org/10.1145/3400806.3400835.
Röchert, D., Neubaum, G., Stieglitz, S (2020). Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models. In 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM2020), Leiden, 2020. DOI: https://doi.org/10.1007/978-3-030-61841-4_8.
Röchert, D., Shahi, GK., Neubaum, G., Ross, B., & Stieglitz, S (2021). The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. Online Social Networks and Media (OSNEM), DOI: https://doi.org/10.1016/j.osnem.2021.100164.
Cabrera, B., Ross, B., Röchert, D., Brünker, F. & Stieglitz, S (2021). The influence of community structure on opinion expression: an agent-based model. J Bus Econ. https://doi.org/10.1007/s11573-021-01064-7
Röchert, D., Neubaum, G., Ross, B. & Stieglitz, S (2022). Caught in a networked collusion? Homogeneity in conspiracy-related discussion networks on YouTube. Information Systems, DOI: https://doi.org/10.1016/j.is.2021.101866.
Röchert, Cargnino, & Neubaum (2022). Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks. Journal of Computational Social Science. https://doi.org/10.1007/s42001-022-00161-z
Conference Presentations
Röchert, D., Shahi, GK., Neubaum, G. & Stieglitz, S. (2022). Political Polarization in Times of Crisis: Ideological Bias of News Coverage of the COVID-19 Pandemic on YouTube. International Communication Association (ICA), Paris, May 2022
Röchert, D., Cargnino, M., & Neubaum, G. (2021). When the Leader takes it all: An Agent-Based Model on the Effects of Ambivalent Opinion Leaders. 71st Conference of the International Communication Association (ICA), Virtual Meeting, 27th – 31st May 2021.
Röchert, D., Neubaum, G., Ross, B., & Stieglitz, S (2020, May). Caught in a Networked Complot? Analyzing Homogeneity in Conspiracy-Related Discussion Networks on YouTube. Paper presented at the Annual Meeting of the International Communicaton Association (ICA), Converted from Australia to virtual due to COVID-19, May 2020.
Röchert, D., Neubaum, G., Stieglitz, S (2020, May). Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models. Paper presented at the Annual Meeting of the International Communicaton Association (ICA), Converted from Australia to virtual due to COVID-19, May 2020.
Röchert, D., Neubaum, G. Ross, B., Brachten, F., & Stieglitz, S. (2019, September). Digitale Arenen auf YouTube: Untersuchung von meinungsbasierter Homogenität mit Hilfe von Sentiment- und Netzwerkanalysen. Paper to be presented "Die datafizierte Gesellschaft: Praktiken, Prozesse und Folgen der Datafizierung", Bonn, DE, September 2019.
Röchert, D., Neubaum, G. Ross, B., Brachten, F., & Stieglitz, S. (2019, May). Can You Hear the Echo? Combining Sentiment and Social Network Analyses to Measure Opinion-Based Homogeneity in Social Media. Paper presented at the Annual Meeting of the International Communicaton Association (ICA), Washington, DC, USA, May 2019.
Röchert, D., & Neubaum, G. (2019, February). The networked collusion - Examining the virality of conspiracy theories on YouTube. Paper presented at the Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), Hamburg, DE, February 2019.
Röchert, D. (2018). Identification of opinion-based homogeneity and heterogeneity in online networks (YouTube). Paper presented at the Annual Meeting of the data2day, Heidelberg, BW, Germany, September 2018
Other Contributions / Reports
Neubaum, G., Cargnino, M., Röchert, D., & Maleszka, J. (2018). Gefangen im Netz der Gleichdenkenden? Eine medienpsychologische Analyse von (politischer) Homogenität in sozialen Medien. Psychologie in Österreich, 5, 384-390.