Discourse Data 4 Policy

Publications

2022

Baumeister, D., Boes, L. and 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. ijcai.org, 2022.

Hemaspaandra, E., Hemaspaandra, L. and 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. and 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. and 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. and 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. and 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. and 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 (2021). 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, 2021.

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, 2021.

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 (2021). 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, 2021.

Skiba, K., Neugebauer, D. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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, Frank, Kimon Kieslich, Christopher Starke, and Marco 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, Dimitar, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, and Stefan Dietze. 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.

Gasquet, M., Brechtel, D., Zloch, M., Tchechmedjiev, A., Boland, K., Fafalios, P., Dietze, S., Todorov, K. 2019. Exploring Fact-checked Claims and their Descriptive Statistics, ISWC Satellites 2019: 289-292.

Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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.

Tchechmedjiev, A., Fafalios, P., Boland, K., Gasquet, M., Zloch, M., Zapilko, B., Dietze, S., Todorov, K. 2019. ClaimsKG: A Live Knowledge Graph of Fact-Checked Claims, 18th International Semantic Web Conference (ISWC19), Auckland, New Zealand, October 2019.