Publications

Works by members of the teams

  • Ackland, R., Gumbert, F., Pütz, O., Gertzel, B. & Orlikowski, M. (2024): Reciprocal Communication and Political Deliberation on TwitterSocial Sciences  13(5): https://doi.org/10.3390/socsci13010005.
  • Heppner, H., Schiffhauer, B., Seelmeyer, U. (2024): Conveying chatbot personality through conversational cues in social media messages. Computers in Human Behavior: Artificial Humans 2 (1): 100044.
  • Ackland, R. (2023): Heuristics for Identifying Echo Chambers in Political Discussions on Twitter. International Sociological Association World Congress of Sociology 2023, Melbourne.
  • Gumbert, F., Pütz; O., Muhle, F. & Ackland, R. (2023): Echo Chambers without Conversation? Enriching Research on Polarization and Fragmentation on Twitter with the Analysis of Reciprocal Communication. In: Paula-Irene Villa (Hg.): Polarisierte Welten. Verhandlungen des 41. Kongresses der Deutschen Gesellschaft für Soziologie 2022.
  • Muhle, F. (2023): Sichtbares Publikum? Automatisierte Akteure als (un-)sichtbares Publikumssegment der Öffentlichkeit. In: Florian Muhle, Tilmann Sutter und Josef Wehner (Hg.): Das sichtbare Publikum? Wiesbaden: Springer VS, S. 167–192.
  • Heinisch, P., Orlikowski, M., Romberg, J. & Cimiano, P. (2023): Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11138–11154, Singapore. Association for Computational Linguistics.
  • Möhle, P., Orlikowski, M. & Cimiano, P. (2023): Just Collect, Don’t Filter: Noisy Labels Do Not Improve Counterspeech Collection for Languages Without Annotated Resources. In Proceedings of the 1st Workshop on CounterSpeech for Online Abuse (CS4OA), pages 44–61, Prague, Czechia. Association for Computational Linguistics.
  • Orlikowski, M., Röttger, P., Cimiano, P. & Hovy, D. (2023): The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1017–1029, Toronto, Canada. Association for Computational Linguistics.
  • O’Neil, M. (2023): Creating heuristics to identify echo chambers in political discussions on Twitter, International Association for Media and Communication Research Conference IAMCR23, Lyon, France 10-13 July 2023.
  • O’Neil, M., Ackland, R. & Cunneen, R. (2023): Submission to the Senate Select Committee on Foreign Interference through Social Media 2023. Submission #21 ‘Building Resilience with Information Literacy and Information Health‘.
  • Veale, T. (2023a): Have I Got Views For You! Generating “Fair and Balanced” Interventions into Online Debates. In Proc. of ICCC-2023, the 14th international conference on Computational Creativity, Waterloo, Canada, July 19-23.
  • Veale, T. (2023b): The Funhouse Mirror Has Two Sides: Visual Storification of Debates with Comics. In R. Campos, A. Jorge, A. Jatowt, S. Bhatia, and M. Litvak (eds.): Proceedings of the Text2Story’23 Workshop at ECIR, Dublin, Ireland, April 2nd.
  • Esposito, E. (2022): Artificial Communication: How Algorithms Produce Social Intelligence. Cambridge: MIT Press
  • Muhle, F. (2022): Socialbots at the Gates? Plädoyer für eine holistische Perspektive auf automatisierte Akteure in der Umwelt des Journalismus. In: Medien & Kommunikationswissenschaft (M&K) 70 (1-2), 40-59.
  • Veale, T. (2022): Two-Fisted Comics Generation: Comics as a Medium and as a Representation for Creative Meanings. In Proc. of ICCC-2022, the 13th international conference on Computational Creativity, Bolzano, Italy, June 25-29.
  • Ackland, R., Jensen, M. & O’Neil, M. (2020): Submission No. 8 to the Senate Select Committee on Foreign Interference through Social Media.
    https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Foreign_Interference_t hrough_Social_Media/ForeignInterference/Submissions (Accessed 20 March 2020).
  • Seelmeyer, U . & Waag, P. (2020): Hybridisierung personenbezogener sozialer Dienstleistungen. In: Kutscher, N., Siller, F., Ley, T., Tillmann, A., Seelmeyer, U., Zorn, I. (eds.): Handbuch Soziale Arbeit und Digitalisierung, Beltz Juventa,180-189.
  • Muhle, F. (2020): Alles bots? Ein Vorschlag zur Typisierung (teil-)automatisierter Accounts auf Twitter. In: Breidenbach, S., Klimczak, P. & C. Petersen (eds.): Soziale Medien. Interdisziplinäre Zugänge zur Onlinekommunikation. Wiesbaden: Springer.
  • Graham, T., Gertzel, B., Chan, C-h & Ackland, R. (2019): vosonSML: Collecting Social Media Data and Generating Networks for Analysis. https://cran.r-project.org/package=vosonSML.
  • Muhle, F. , Ackland, R. , & Graham, T. (2019): Automatisierte politische Kommunikation auf Twitter. Popularität und Einfluss automatisierter Accounts in Online-Konversationen zur US-Präsidentschaftswahl 2016. In: N. Burzan (Hg.): Komplexe Dynamiken globaler und lokaler Entwicklungen. Verhandlungen des 39. Kongresses der Deutschen Gesellschaft für Soziologie in Göttingen 2018.
  • Veale, T. & Cook, M. (2018): Twitterbots: Making Machines that Make Meaning. Cambridge: MIT Press.