2022
Starke, C., Baleis, J., Keller, B. & Marcinkowski, F. (2022). Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature. Big Data & Society (to appear)
Breuer, J., Bensmann, F., Boland, K, Yu, R. & Dietze, R. (2022). All public opinions are not equal – Developing and testing a method for assessing the relationship between survey data and Twitter data as measures of public opinion. International Conference on Social Media & Society
Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption, Nature Machine Intelligence, 4, 418-424.
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design: Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221092956
Hafid, S., Schellhammer, S., Bringay, S., Todorov, K. & Dietze, S. (2022). SciTweets — A Dataset and Annotation Framework for Detecting Scientific Online Discourse. 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
Hövelmeyer, A., Boland, K. & Dietze, S. (2022). SimBa at CheckThat! 2022: Lexical and Semantic Similarity Based Detection of Verified Claims in an Unsupervised and Supervised Way. CLEF Working Notes 2022, Proceedings of the Working Notes of CLEF 2022 – Conference and Labs of the Evaluation Forum
Dimitrov, D., Segeth, D. & Dietze, S. (2022). Geotagging TweetsCOV19: Enriching a COVID-19 Twitter Discourse Knowledge Base with Geographic Information. In Companion Proceedings of the Web Conference 2022 (WWW ’22 Companion) April 25–29, 2022, Virtual Event, Lyon, France., New York: ACM. doi: https://doi.org/10.1145/3487553.3524623.
Baumeister, D., Boes, L. & Laußmann, C. (2022). Time-Constrained Participators Budgeting Under Uncertain Project Costs. In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (to appear)
Hemaspaandra, E., Hemaspaandra, L. & Rothe, J. (2022). The Complexity of Online Bribery in Sequential Elections. Journal of Computer and System Sciences, vol. 127, pp. 66-90, August 2022. https://doi.org/10.1016/j.jcss.2022.01.006
Brandes, U., Laußmann, C. & Rothe, J. (2022). Voting for Centrality (Extended Abstract). To appear in the proceedings of the 21th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), Auckland, New Zealand. IFAAMAS, May 2022
Haeri, M.A., Hartmann, K., Sirsch, J., Wenzelburger, G. & Zweig, K. A. (2022). Promises and Pitfalls of Algorithm Use by State Authorities.
Philos. Technol. 35, 33. https://doi.org/10.1007/s13347-022-00528-0
2021
Baumeister, D., Boes, L. & Hillebrand, J. (2021). Complexity of Manipulative Interference in Participatory Budgeting. In: Proceedings of the 7th International Conference on Algorithmic Decision Theory. Springer-Verlag LNCS, 2021, pages 424–439.
Baumeister, D. & Hogrebe, T. (2021). On the Complexity of Predicting Election Outcomes and Estimating Their Robustness. In: Proceedings of the 18th European Conference on Multiagent Systems. Springer-Verlag LNCS #12802, 2021, pages 228–244.
Baumeister, D., Boes, L. & Weishaupt, R. (2021). Complexity of Sequential Rules in Judgment Aggregation. In: Proceedings of the 20th International Joint Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2021, pages 187–195.
Boland, K., Fafalios, P., Tchechmedjiev, A., Dietze, S. & Todorov, K. (2021). Beyond Facts – a Survey and Conceptualisation of Claims in Online Discourse Analysis, Semantic Web Journal, IOS Press 2021.
Kieslich, K., Lünich, M. & Marcinkowski, F. (2021). The Threats of Artificial Intelligence Scale (TAI). Int J of Soc Robotics 13, 1563–1577. https://doi.org/10.1007/s12369-020-00734-w
Zhu, X., Zhu, L., Guo, J., Liang S., & Dietze, S. (2021). GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification, Expert Systems with Applications, Volume 186, 115712, Elsevier.
Zhu, X., Wu, J., Zhu, L., Guo, J., Yu, R., Boland, K. & Dietze, S. (2021). Exploring User Historical Semantic and Sentiment Preference for Microblog Sentiment Classification, Neurocomputing 464, 141-150, Elsevier.
Roy, A., Fafalios, P., Ekbal, A., Zhu, X. & Dietze, S. (2021). Exploiting stance hierarchies for cost-sensitive stance detection of Web documents, J Intell Inf Syst, Springer. https://doi.org/10.1007/s10844-021-00642-z.
Maliaroudakis, E., Boland, K., Dietze, S., Todorov, K., Tzitzikas, Y. & Fafalios, P. (2021). ClaimLinker: Linking Text to a Knowledge Graph of Fact-checked Claims, short paper, Satellite Proceedings of the TheWebConf2021, ACM.
Skiba, K., Neugebauer, D. & Rothe, J. (2021). Complexity of Nonempty Existence Problems in Incomplete Argumentation Frameworks. IEEE Intelligent Systems, vol. 36, no. 2, pp. 13-24, March/April 2021. https://ieeexplore.ieee.org/document/9305729
Baumeister, D., Järvisalo, M., Neugebauer, D., Niskanen, A. & Rothe, J. (2021). Acceptance in Incomplete Argumentation Frameworks. Artificial Intelligence, vol. 295, 103470, 35 pages, June 2021. https://doi.org/10.1016/j.artint.2021.103470
Neveling, M. & Rothe, J. (2021). Control Complexity in Borda Elections: Solving All Open Cases of Offline Control and Some Cases of Online Control. Artificial Intelligence, vol. 298, 103508, 30 pages, September 2021. https://doi.org/10.1016/j.artint.2021.103508
Baumeister, D., Neugebauer, D. & Rothe, J. (2021). Collective Acceptability in Abstract Argumentation.
Journal of Applied Logics, vol. 8, no. 6, pp. 1503-1542, July 2021. Appears also as a chapter in Handbook of Formal Argumentation, Volume 2, edited by D. Gabbay, M. Giacomin, G. Simari, and M. Thimm. http://www.collegepublications.co.uk/downloads/ifcolog00048.pdf
Erdélyi, G., Neveling, M., Reger, C., Rothe, J., Yang, Y. & Zorn, R. (2021). Towards Completing the Puzzle: Complexity of Control by Replacing, Adding, and Deleting Candidates or Voters. Journal of Autonomous Agents and Multi-Agent Systems, vol. 35, no. 2, article 41, July 2021. https://doi.org/10.1007/s10458-021-09523-9
Neugebauer, D., Rothe, J. & Skiba, K. (2021). Complexity of Nonemptiness in Control Argumentation Frameworks. Proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021), Prague, Czech Rebublic. Springer-Verlag Lecture Notes in Artificial Intelligence 12897, pages 117-129, September 2021. https://link.springer.com/chapter/10.1007/978-3-030-86772-0_9
Neveling, M., Rothe, J. & Weishaupt, R. (2021). The Possible Winner Problem with Uncertain Weights Revisited.
Proceedings of the 23rd International Symposium on Fundamentals of Computation Theory (FCT 2021), Athens, Greece. Best Paper Award. Springer-Verlag Lecture Notes in Computer Science 12867, pages 399-412, September 2021. https://link.springer.com/chapter/10.1007/978-3-030-86593-1_28
Kaczmarek, J. & Rothe, J. (2021). Manipulation in Communication Structures of Graph-Restricted Weighted Voting Games.
Proceedings of the 7th International Conference on Algorithmic Decision Theory (ADT 2021), Toulouse, France. Springer-Verlag Lecture Notes in Artificial Intelligence 13023, pages 194-208, November 2021. https://link.springer.com/chapter/10.1007/978-3-030-87756-9_13
Hartmann, K. & Wenzelburger, G. (2021). Uncertainty, risk and the use of algorithms in policy decisions: a case study on criminal justice in the USA. Policy Sci 54, pages 269–287. https://doi.org/10.1007/s11077-020-09414-y
König, P. D. & Wenzelburger, G. (2021). The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it. Technology in Society, Volume 67. https://doi.org/10.1016/j.techsoc.2021.101688
König, P. D. & Wenzelburger, G. (2021). When Politicization Stops Algorithms in Criminal Justice. The British Journal of Criminology, Volume 61, Issue 3, May 2021, pages 832–851, https://doi.org/10.1093/bjc/azaa099
König, P. D. & Wenzelburger, G. (2021). Between technochauvinism and human-centrism: Can algorithms improve decision-making in democratic politics?. Eur Polit Sci 21, pages 132–149. https://doi.org/10.1057/s41304-020-00298-3
Wenzelburger, G. & Hartmann, K. (2021). Policy formation, termination and the multiple streams framework: the case of introducing and abolishing automated university admission in France. Policy Studies https://doi.org/10.1080/01442872.2021.1922661
2020
Marcinkowski, F., K. Kieslich, C. Starke, & M. Lünich. (2020). Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 122–130. https://doi.org/10.1145/3351095.3372867
Starke, C., & Luenich, M. (2020). Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy. ArXiv, abs/2003.11320.
Dimitrov, D., Baran, E., Fafalios, P., Yu, R., Zhu, X., Zloch, M. & Dietze, S. (2020). TweetsCOV19: A knowledge base of semantically annotated tweets about the COVID-19 pandemic. In CIKM ’20: Proceedings of the 29th ACM international conference on information & knowledge management, edited by Mathieu d’Aquin, and Stefan Dietze, 2991–2998. New York: ACM. doi: https://doi.org/10.1145/3340531.3412765. https://arxiv.org/pdf/2006.14492v4.pdf.
Bensmann, F., Papenmeier, A., Kern, D., Zapilko, B. & Dietze, S. (2020). Semantic Annotation, Representation and Linking of Survey Data, SEMANTiCS, Springer.
Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J. & Selker, A. (2020). Complexity of Control in Judgment Aggregation for Uniform Premise-Based Quota Rules. Journal of Computer and System Sciences, vol. 112, pp. 13-33, September 2020. https://doi.org/10.1016/j.jcss.2020.03.001
Neveling, M. & Rothe, J. (2020). The Complexity of Cloning Candidates in Multiwinner Elections. Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Auckland, New Zealand. IFAAMAS, pages 922-930, May 2020. https://dl.acm.org/doi/abs/10.5555/3398761.3398869
Baumeister, D., Hogrebe, T. & Rothe, J. (2020). Towards Reality: Smoothed Analysis in Computational Social Choice. Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Auckland, New Zealand. IFAAMAS, pages 1691-1695, May 2020. https://dl.acm.org/doi/abs/10.5555/3398761.3398955
Skiba, K., Neugebauer, D. & Rothe, J. (2020). Complexity of Possible and Necessary Existence Problems in Abstract Argumentation. Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain. IOS Press, Frontiers in Artificial Intelligence and Applications 325, pages 897-904, August/September 2020. https://ebooks.iospress.nl/volumearticle/54976
Maushagen, C. & Rothe, J. (2020). The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections. Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain. IOS Press, Frontiers in Artificial Intelligence and Applications 325, pages 163-170, August/September 2020. https://ebooks.iospress.nl/volumearticle/54884
Neveling, M., Rothe, J. & Zorn, R. (2020). The Complexity of Controlling Condorcet, Fallback, and k-Veto Elections by Replacing Candidates or Voters. Proceedings of the 15th International Computer Science Symposium in Russia (CSR 2020), Ekaterinburg, Russia. Springer-Verlag Lecture Notes in Computer Science 12159, pages 314-327, June/July 2020. https://link.springer.com/chapter/10.1007/978-3-030-50026-9_23
Baumeister, D., Selker, A. & Wilczynski, A. (2020). Manipulation of Opinion Polls to Influence Iterative Elections. In: Proceedings of the 19th International Joint Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2020, pages 132–140.
Baumeister, D. & Hogrebe, T. (2020). Complexity of Election Evaluation and Probabilistic Robustness (Extended Abstract). In: Proceedings of the 19th International Joint Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2020, pages 1771–1773.
Baumeister, D., Boes, L. & Seeger, T. (2020). Irresolute Approval-Based Budgeting (Extended Abstract). In: Proceedings of the 19th International Joint Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, 2020, pages 1774–1776.