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DFG-Project "Public Communication about Transnational Competitive Events in Social Media and its Predictive Power" (Project Phase 3)


Division Digitalization and Participation
in collaboration with the Research Group Digital Communication and Transformation at University Duisburg-Essen, since February 2022 University of Potsdam

Principal Investigator:
  • Prof. Dr. Stefan Stieglitz

Former staff member:

  • Florian Buhl (research assistant)

DFG Funding

Contact Person:
Prof. Dr. Christoph Neuberger

Research priorities in the three project phases:
Within the framework of interdisciplinary cooperation between communication science and computer science, the use of automated and manual methods of content analysis is being further developed for different questions.    

In the first project phase, the issue dynamics in the Internet public sphere were investigated. Patterns of issue dynamics were examined using the example of the microblogging service Twitter.

In the second project phase, the scope of observation was extended to professional journalistic websites. References and spill-over effects between Twitter and journalism were analysed.

In the third project phase, transnational, periodic competitive events, like the European elections and the Eurovision Song Contest, are focus of the analysis. Prediction models are developed on the basis of the data. For this purpose, speech acts on Twitter will be recorded using content analysis.

Florian Buhl M. A. was a research assistant in the third project phase (2020-2022).

Duration of the research project: 2012 - 2023

Kapidzic, Sanja/Frey, Felix/Neuberger, Christoph/Stieglitz, Stefan/Mirbabaie, Milad (2023): Crisis communication on Twitter: Differences between user Types in top tweets about the 2015 “refugee crisis” in Germany. In: International Journal of Communication. 17. Jg., S. 735-754 1932–8036/20230005.                                                                                                      

Kapidzic, Sanja/Neuberger, Christoph/Frey, Felix/Stieglitz, Stefan/Mirbabaie, Milad (2022): How news websites refer to Twitter: A content analysis of Twitter sources in journalism. Journalism Studies. 23. Jg., H. 10, S. 1247-1268.                        

Basyurt, Ali Sercan/Brünker, Felix/Stieglitz, Stefan/Buhl, Florian/Neuberger, Christoph (2022): Development of social media opinion leaders during international periodic events. Research-in-progress. Australasian Conference on Information Systems 2022, Melbourne. http://acis.aaisnet.org › ACIS 2022 paper 91

Kapidzic, Sanja/Frey, Felix/Neuberger, Christoph/Stieglitz, Stefan/Mirbabaie, Milad (2019): Interaction and influence on Twitter: Comparing the discourse relationship between user types on five topics. In: Digital Journalism. 7. Jg., H. 2, S. 251-272.                                                                                              

Stieglitz, Stefan/Mirbabaie, Milad/Ross, Björn/Neuberger, Christoph (2018): Social me­dia analytics – Challenges in topic discovery, data collection, and data preparation. In: In­ternational Journal of Information Management (IJIM). 39. Jg., H. 2, S. 156-168.                                                                    

Kapidzic, Sanja/Neuberger, Christoph/Stieglitz, Stefan/Mirbabaie, Milad (2018): The qua­lity of tweets and the adoption of journalistic norms. In: Otto, Kim/Köhler, Andreas (Hrsg.): Trust in media and jour­nalism: Empirical perspectives on ethics, norms, impacts and populism in Europe. Wiesbaden: Springer VS, S. 61-69.                                                                           

Stieglitz, Stefan/Dang-Xuan, Linh/Bruns, Axel/Neuberger, Christoph (2014): Social me­dia analytics. An interdisciplinary approach and its implications for infor­mation systems. In: Business & Information Systems Engineering. 6. Jg., H. 2, S. 89-96. Zugleich auf Deutsch: Stieglitz, Stefan/Dang-Xuan, Linh/Bruns, Axel/Neu­ber­ger, Christoph (2014): Social Me­dia Analytics. In: Wirtschaftsin­for­matik. 56. Jg., H. 2, S. 101-109.                                                                                                   


  • Internet public sphere, social media, topic setting, transnational public communication, online journalism, media diffusion processes, predictive models.