Selected works by members of the teams

  • 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.
  • Ackland, R. , O’Neil , M. & Sora Park (2019),
    Engagement with news on Twitter: insights from Australia and Korea, Asian Journal of Communication, 29:3, 235-251.
  • Graham, T. , Gertzel, B., Chan, C-h & R. Ackland (2019),
    vosonSML: Collecting Social Media Data and Generating Networks for Analysis.
  • Jebbara, S. & Cimiano, P. (2019),
    Zero-Shot Cross-Lingual Opinion Target Extraction. In Proc. of the Joint International Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) and the Conference for Human Language Technologies (HLT), 2486-2495.
  • Muhle, F. & Pütz, O. (2019),
    Socialbots in der politischen OnlineKommunikation. Typologie und Relevanz automatisierter Accounts auf Twitter. Vortrag auf dem Kongress ‘Alles im Wandel? Dynamiken und Kontinuitäten’ der Österreichischen Gesellschaft für Soziologie, Salzburg, 26.09.2019.
  • 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.
  • Pütz, O. (2019),
    Talking Collective Action: A Sequential Analysis of Strategic Planning in Anti-Nuclear Groups, Abingdon: Routledge.
  • Pütz, O. (2019),
    Common Understandings of and Consensus About Collective Action: The Transformation of Specifically Vague Proposals as a Collective Achievement, Human Studies 42(3), 483-512.
  • Schiffhauer, B. (2019),
    Responsible Innovation and Technology Assessment in Social Welfare Organizations. In Rahmen der Session: Value-driven Technologies: Role Concepts in Technology Assessment and Responsible Innovation. Talk. European Technology Assessment Conference, Bratislava.
  • Schneider, D.; Seelmeyer, U. (2019),
    Challenges in Using Big Data to Develop Decision Support Systems for Social Work in Germany. In: Journal of Technology in Human Services 37 (2-3), 113–128.
  • Veale, T. (2019),
    Read Me Like A Book: Lessons in Affective, Topical and Personalized Computational Creativity. In Proceedings of ICCC’19, the 10th International Conference on Computational Creativity, Charlotte, North Carolina, June 16th – 21st.
  • Orlikowski, M., Hartung, M., & Cimiano, P. (2018),
    Learning Diachronic Analogies to Analyze Concept Change. In: Proceedings of the 2nd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2018). Association for Computational Linguistics, 1-11.
  • Rizoiu, M.-A., Graham, T. , Zhang, R., Zhang, Y., Ackland, R. & L. Xie (2018),
    #DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate. In: International AAAI Conference on Web and Social Media (ICWSM ’18).
  • Schiffhauer, B. (2018),
    Über die reflektierte Berücksichtigung sozialer und ethischer Implikationen bei der Einführung innovativer Technologien und Geschäftsprozessen in den Verbänden der Wohlfahrt. Podium Big Data & Künstliche Intelligenz: Die digitale Zukunft Sozialer Arbeit. Vortrag, Bundeskongress Soziale Arbeit, Bielefeld.
  • Schiffhauer, B . & Preuß, M. (2018),
    On the interplay of political affiliations, social media consumption and devaluation of minorities. Talk & Poster, European Symposium on Societal Challenges in Computational Social Science, Köln.
  • Schneider, D. & Seelmeyer, U. (2018),
    Der Einfluss der Algorithmen. Neue Qualitäten durch Big Data Analytics und Künstliche Intelligenz. In: Sozial Extra 42 (3), 21–24.
  • Veale, T. & Cook, M. (2018),
    Twitterbots: Making Machines that Make Meaning. Cambridge: MIT Press.
  • Veale, T. (2018),
    A Massive Sarcastic Robot: What a Great Idea! Two Approaches to the Computational Generation of Irony. Proceedings of ICCC 2018, the 9th International Conference on Computational Creativity, Salamanca, Spain, June 25-29.
  • Veale, T. (2018),
    The “default” in our stars: Signposting non-defaultness in ironic discourse. Metaphor and Symbol, 33(3), 175-184.
  • Ley, T. & Seelmeyer, U. (2018),
    Der Wert der Sozialen Arbeit in der digitalen Gesellschaft. In: Sozial Extra 42 (4), 23–25.
  • Muhle, F. , Ackland, R. , & Graham, T. (2018),
    Socialbots in politischen Online-Konversationen. Eine (überschätzte) Gefahr für demokratische Willensbildung im Internet? Zeitschrift für Parlamentsfragen, 49(3), 618-638.
  • Muhle, F. (2017),
    Embodied Conversational Agents as Social Actors? Sociological Considerations on changing human-machine relations in online environments. In R. W. Gehl & M. Bakardjieva (Hg.), Socialbots and Their Friends: Digital Media and the Automation of Sociality (S. 86–109). Routledge.
  • Diehl, C., Schiffhauer, B. , Eyssel, F. A., Achenbach, J., Klett, S., Botsch, M. & Kopp, S. (2017),
    Get One or Create One: The Impact of Graded Involvement in a Selection Procedure for a Virtual Agent on Satisfaction and Suitability Ratings. In: Beskow J., Peters C., Castellano G., O’Sullivan C., Leite I., Kopp S. (eds.): Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science, vol 10498. Springer, 109-118.
  • Esposito, E . (2017),
    Artificial Communication? The Production of Contingency by Algorithms. Zeitschrift für Soziologie, 46(4), 249–265.
  • Graham, T. & Ackland, R. (2017),
    Do Socialbots Dream of Popping the Filter Bubble? In: Gehl, R. W. & Bakardjieva, M. (eds.), Socialbots and their Friends, London: Routledge, 187-206.
  • Veale, T. & Valitutti, A. (2017),
    Sparks Will Fly: Engineering Creative Script Conflicts. Connection Science 29(4), 332-349.
  • Veale, T. & Valitutti, A. (2017),
    Tweet dreams are made of this: Appropriate incongruity in the dreamwork of language. LINGUA 197, 141–153.
  • Schiffhauer, B. , Eyssel, F., Bröhl, R., & Adriaans J. (2016),
    Let the user decide! User Preferences regarding Functions, Apps, and Interfaces of a Smart Apartment and a Service Robot. 8th International Conference on Social Robotics (ICSR 2016).
  • Jebbara, S. & Cimiano, P. (2016),
    Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture. In: Proc. of the European Conference on Artificial Intelligence (ECAI), 1123-1131.
  • Veale, T. (2015),
    Unnatural Selection: Seeing Human Intelligence in Artificial Creations. Journal of General Artificial Intelligence, 6(1), special issue on Computational Creativity, Concept Invention, and General Intelligence, 5-20.
  • Veale, T. (2015),
    Unnatural Selection: Seeing Human Intelligence in Artificial Creations. Journal of General Artificial Intelligence, 6(1), special issue on Computational Creativity, Concept Invention, and General Intelligence, 5-20.
  • Buschmeier, K., Cimiano, P. , & Klinger, R. (2014),
    An impact analysis of features in a classification approach to Irony Detection in Product Reviews. In: Proc. of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), collocated with the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore.
  • Graham, T. (2008),
    Needles in a Haystack. In: Javnost – The Public 15 (2), S. 17–36.