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Schumacher, T., Lutz, M., Sikdar, S. und Strohmaier, M. (2025). Properties of group fairness measures for rankings. ACM Transactions on Social Computing, 8, 1–45.
Pellert, M., Lechner, C. M., Wagner, C., Rammstedt, B. und Strohmaier, M. (2024). AI psychometrics: Assessing the psychological profiles of large language models through psychometric inventories. Perspectives on Psychological Science, 19, 808–826.
Savela, N., Garcia, D., Pellert, M. und Oksanen, A. (2024). Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes. New Media & Society, 26, 757–781.
Génois, M., Zens, M., Oliveira, M., Lechner, C. M., Schaible, J. und Strohmaier, M. (2023). Combining sensors and surveys to study social interactions: A case of four science conferences. Personality Science : PS, 4, 1–24.
Metzler, H., Rimé, B., Pellert, M., Niederkrotenthaler, T., Di Natale, A. und Garcia, D. (2023). Collective emotions during the COVID-19 outbreak. Emotion, 23, 844–858.
Neuhäuser, L., Karimi, F., Bachmann, J., Strohmaier, M. und Schaub, M. T. (2023). Improving the visibility of minorities through network growth interventions. Communications Physics, 6, 108–13.
Smirnov, I., Oprea, C. und Strohmaier, M. (2023). Toxic comments are associated with reduced activity of volunteer editors on Wikipedia. PNAS Nexus, 2, 1–10.
Espín-Noboa, L., Wagner, C., Strohmaier, M. und Karimi, F. (2022). Inequality and inequity in network-based ranking and recommendation algorithms. Scientific Reports, 12, 1–14.
Fortmann, J., Lutz, M. und Spreckelsen, C. (2022). System for context-specific visualization of clinical practice guidelines (GuLiNav): Concept and software implementation. JMIR Formative Research, 6, 1–13.
Koncar, P., Santos, T., Strohmaier, M. und Helic, D. (2022). Correction to: On the application of the Two-Factor Theory to online employer reviews. Journal of Data, Information and Management, 4, 87.
Koncar, P., Santos, T., Strohmaier, M. und Helic, D. (2022). On the application of the Two-Factor Theory to online employer reviews. Journal of Data, Information and Management, 4, 1–23.
Oliveira, M., Karimi, F., Zens, M., Schaible, J., Génois, M. und Strohmaier, M. (2022). Group mixing drives inequality in face-to-face gatherings. Communications Physics, 5, 1–9.
Pellert, M., Metzler, H., Matzenberger, M. und Garcia, D. (2022). Validating daily social media macroscopes of emotions. Scientific Reports, 12, 1–8.
Reelfs, J. H., Hohlfeld, O., Strohmaier, M. und Henckell, N. (2022). Characterizing the country-wide adoption and evolution of the Jodel messaging app in Saudi Arabia. The Journal of Web Science, 8, 1–14.
Sikdar, S., Sachdeva, R., Wachs, J., Lemmerich, F. und Strohmaier, M. (2022). The effects of gender signals and performance in online product reviews. Frontiers in Big Data, 4, 1–1.
Balietti, S. (2021). Technical perspective: Does your experiment smell? Communications of the ACM, 64, 107.
Balietti, S., Getoor, L., Goldstein, D. G. und Watts, D. J. (2021). Reducing opinion polarization: Effects of exposure to similar people with differing political views. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 118, 1–11.
Balietti, S., Klein, B. und Riedl, C. (2021). Optimal design of experiments to identify latent behavioral types. Experimental Economics, 24, 772–799.
Balietti, S. und Riedl, C. (2021). Incentives, competition, and inequality in markets for creative production. Research Policy, 50, 1–35.
Di Natale, A., Pellert, M. und Garcia, D. (2021). Colexification networks encode affective meaning. Affective Science, 2021, 99–111.
Neuhäuser, L., Stamm, F. I., Lemmerich, F., Schaub, M. T. und Strohmaier, M. (2021). Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes. Applied Network Science, 6, 1–22.
Savela, N., Oksanen, A., Pellert, M. und Garcia, D. (2021). Emotional reactions to robot colleagues in a role-playing experiment. International Journal of Information Management, 60, 1–15.
Smirnov, I., Lemmerich, F. und Strohmaier, M. (2021). Quota-based debiasing can decrease representation of the most under-represented groups. Royal Society Open Science, 8, 1–5.
Wagner, C., Strohmaier, M., Olteanu, A., Kiciman, E., Contractor, N. und Eliassi-Rad, T. (2021). Measuring algorithmically infused societies. Nature, 595, 197–204.
Balietti, S. (2020). The human quest for discovering mathematical beauty in the arts. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 117, 27073-27075.
Lazer, D. M. J., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., Deen, F., González-Bailón, S., King, G., Margetts, H., Nelson, A., Salganik, M. J., Strohmaier, M., Vespignani, A. und Wagner, C. (2020). Computational social science: Obstacles and opportunities. Science, 369, 1060-1062.
Pellert, M., Lasser, J., Metzler, H. und Garcia, D. (2020). Dashboard of sentiment in Austrian social media during COVID-19. Frontiers in Big Data, 3, 1–9.
Pellert, M., Schweighofer, S. und Garcia, D. (2020). The individual dynamics of affective expression on social media. EPJ Data Science, 9, 1–14.
Smirnov, I. (2020). Estimating educational outcomes from students’ short texts on social media. EPJ Data Science, 9, 1–11.
Dimitrov, D., Lemmerich, F., Flöck, F. und Strohmaier, M. (2019). Different topic, different traffic: How search and navigation interplay on Wikipedia. The Journal of Web Science, 6, 1–15.
Lee, E., Karimi, F., Wagner, C., Jo, H.-H., Strohmaier, M. und Galesic, M. (2019). Homophily and minority-group size explain perception biases in social networks. Nature Human Behaviour, 3, 1078-1087.
Posch, L., Bleier, A., Lechner, C. M., Danner, D., Flöck, F. und Strohmaier, M. (2019). Measuring motivations of crowdworkers: The multidimensional crowdworker motivation scale. ACM Transactions on Social Computing, 2, 1–34.
Santos, T., Lemmerich, F., Strohmaier, M. und Helic, D. (2019). What's in a review: Discrepancies between expert and amateur reviews of video games on Metacritic. Proceedings of the ACM on Human-Computer Interaction, 3, 1–22.
Santos, T., Walk, S., Kern, R., Strohmaier, M. und Helic, D. (2019). Activity archetypes in question-and-answer (Q8A) websites—A study of 50 Stack Exchange instances. ACM Transactions on Social Computing, 2, 1–23.
Sivak, E. und Smirnov, I. (2019). Parents mention sons more often than daughters on social media. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 116, 2039–2041.
Smirnov, I. (2019). Schools are segregated by educational outcomes in the digital space. PLOS ONE, 14, 1–9.
Spina, D., Zubiagab, A., Sheth, A. und Strohmaier, M. (2019). Processing social media in real-time. Information Processing & Management, 56, 1081-1083.
Trpin, B. und Pellert, M. (2019). Inference to the best explanation in uncertain evidential situations. The British Journal for the Philosophy of Science : BJPS, 70, 978-1001.
Karimi, F., Génois, M., Wagner, C., Singer, P. und Strohmaier, M. (2018). Homophily influences ranking of minorities in social networks. Scientific Reports, 8, 1–12.
Stier, S., Bleier, A., Lietz, H. und Strohmaier, M. (2018). Election campaigning on social media: Politicians, audiences, and the mediation of political communication on Facebook and Twitter. Political Communication, 35, 50–74.
Becker, M., Lemmerich, F., Singer, P., Strohmaier, M. und Hotho, A. (2017). MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Data Mining and Knowledge Discovery : DMKD, 31, 1359-1390.
Espín-Noboa, L., Lemmerich, F., Strohmaier, M. und Singer, P. (2017). JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs. Applied Network Science, 2, 1–20.
Lamprecht, D., Lerman, K., Helic, D. und Strohmaier, M. (2017). How the structure of Wikipedia articles influences user navigation. The New Review of Hypermedia and Multimedia, 23, 29–50.
Lamprecht, D., Strohmaier, M. und Helic, D. (2017). A method for evaluating discoverability and navigability of recommendation algorithms. Computational Social Networks, 4, 1–26.
Polivanova, K. und Smirnov, I. (2017). Что в профиле тебе моем Данные «ВКонтакте» как инструмент изучения интересов современных подростков. Voprosy Obrazovanija, 2017, 134–152.
Singer, P., Helic, D., Hotho, A. und Strohmaier, M. (2017). A Bayesian method for comparing hypotheses about human trails. ACM Transactions on the Web : TWEB, 11, 1–29.
Smirnov, I. und Thurner, S. (2017). Formation of homophily in academic performance: Students change their friends rather than performance. PLOS ONE, 12, 1–16.
Stier, S., Posch, L., Bleier, A. und Strohmaier, M. (2017). When populists become popular: comparing Facebook use by the right-wing movement Pegida and German political parties. Information, Communication & Society : ICS, 20, 1365-1388.
Doerfel, S., Zoller, D., Singer, P., Niebler, T., Hotho, A. und Strohmaier, M. (2016). What users actually do in a social tagging system: A study of user behavior in BibSonomy. ACM Transactions on the Web : TWEB, 10, 1–32.
Fukazawa, Y., Kröll, M., Strohmaier, M. und Ota, J. (2016). IR based task-model learning: Automating the hierarchical structuring of tasks. Web Intelligence : WI, 14, 31–41.
Posch, L., Schaer, P., Bleier, A. und Strohmaier, M. (2016). A system for probabilistic linking of thesauri and classification systems. Künstliche Intelligenz : KI, 30, 193–196.
Samoilenko, A., Karimi, F., Edler, D., Kunegis, J. und Strohmaier, M. (2016). Linguistic neighbourhoods: explaining cultural borders on Wikipedia through multilingual co-editing activity. EPJ Data Science, 5, 1–20.
Singer, P., Ferrara, E., Kooti, F., Strohmaier, M. und Lerman, K. (2016). Evidence of online performance deterioration in user sessions on Reddit. PLOS ONE, 11, 1–16.
Smirnov, I., Sivak, E. und Kozmina, Y. (2016). В поисках утраченных профилей: достоверность данных «ВКонтакте» и их значение для исследований образования. Voprosy Obrazovanija, 2016, 106–122.
Walk, S., Helic, D., Geigl, F. und Strohmaier, M. (2016). Activity dynamics in collaboration networks. ACM Transactions on the Web : TWEB, 10, 1–32.
Lamprecht, D., Strohmaier, M., Helic, D., Nyulas, C., Tudorache, T., Noy, N. F. und Musen, M. A. (2015). Using ontologies to model human navigation behavior in information networks: A study based on Wikipedia. Semantic Web, 6, 403–422.
Walk, S., Singer, P., Strohmaier, M., Helic, D., Noy, N. F. und Musen, M. A. (2015). How to apply Markov chains for modeling sequential edit patterns in collaborative ontology-engineering projects. International Journal of Human-Computer Studies : IJHCS, 84, 51–66.

Génois, M., Zens, M., Lechner, C. M., Rammstedt, B. und Strohmaier, M. (2019). Building connections: How scientists meet each other during a conference. Köln ; Mannheim: GESIS – Leibniz-Institut für Sozialwissenschaften.

Lutz, M., Choenni, R., Strohmaier, M. und Lauscher, A. (2024). Local contrastive editing of gender stereotypes. In , EMNLP 2024 : the 2024 Conference on Empirical Methods in Natural Language Processing : proceedings of the conference : November 12–16, 2024 (S. 21474-21493). , Association for Computational Linguistics: Kerrville.
Engler, J., Sikdar, S., Lutz, M. und Strohmaier, M. (2023). SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. In , Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing : EMNLP 2022 (S. 4607-4619). , ACL: Stroudsburg, PA.
Haslhofer, B., Victor, F., Strohmaier, M. und Xu, J. (2023). CAAW’23: The 2nd international Cryptoasset Analytics Workshop. In , The ACM Web Conference : Companion of the World Wide Web Conference WWW 2023 : [proceedings] (S. 1077-1077). , Association for Computing Machinery: New York, NY.
Stamm, F. I., Scholkemper, M., Strohmaier, M. und Schaub, M. T. (2023). Neighborhood structure configuration models. In , The ACM Web Conference 2023 : Proceedings of The World Wide Web Conference WWW 2023 (S. 210–220). , Association for Computing Machinery: New York, NY.
Hussain, H., Cao, M., Sikdar, S., Helic, D., Lex, E., Strohmaier, M. und Kern, R. (2022). Adversarial inter-group link injection degrades the fairness of graph neural networks. In , 2022nd IEEE International Conference on Data Mining : 28 November-1 December 2022, Orlando, Florida : proceedings (S. 975–980). , IEEE Computer Society: Los Alamitos, CA [u.a.].
Reelfs, J. H., Mohaupt, T., Sikdar, S., Strohmaier, M. und Hohlfeld, O. (2022). Interpreting emoji with emoji. In , The Fifth International Workshop on Emoji Understanding and Applications in Social Media : proceedings of the workshop, July 14, 2022 (S. 1–10). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
Sikdar, S., Lemmerich, F. und Strohmaier, M. (2022). Getfair: Generalized fairness tuning of classification models. In , Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022) : June 21–24, 2022, Seoul, Korea (S. 289–299). , ACM: New York, NY.
Ahnert, G., Smirnov, I., Lemmerich, F., Wagner, C. und Strohmaier, M. (2021). The FairCeptron: A framework for measuring human perceptions of algorithmic fairness. In , UMAP ’21 : adjunct publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization : June 21–25, 2020, Utrecht, Netherlands (S. 401–403). , Association for Computing Machinery: New York, NY.
Brückner, S., Lemmerich, F. und Strohmaier, M. (2021). Inferring sociodemographic attributes of Wikipedia editors: State-of-the-art and implications for editor privacy. In , The Web Conference 2021 : Companion of The World Wide Web Conference WWW 2021, April 19–23, 2021 Ljubljana, Slovenia (S. 616–622). , ACM: New York, NY.
Mattern, J., Qiao, Y., Kerz, E., Wiechmann, D. und Strohmaier, M. (2021). FANG-COVID: A new large-scale benchmark dataset for fake news detection in German. In , FEVER : Fact Extraction and VERification – proceedings of the fourth workshop, November 10, 2021, Punta Cana, Dominican Republic : EMNLP 2021 (S. 78–91). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
Moldon, L., Strohmaier, M. und Wachs, J. (2021). How gamification affects software developers: Cautionary evidence from a natural experiment on GitHub. In , 2021 IEEE/ACM 43rd International Conference on Software Engineering : ICSE 2021, virtual (originally Madrid, Spain) 25–28 May 2021, proceedings (S. 549–561). , IEEE Computer Society: Piscataway, NJ.
Stamm, F. I., Becker, M., Strohmaier, M. und Lemmerich, F. (2021). Redescription Model Mining. In , KDD ’21 : Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14–18, 2021, virtual event, Singapore (S. 1521-1529). , ACM: New York, NY.
Mathew, B., Sikdar, S., Lemmerich, F. und Strohmaier, M. (2020). The POLAR framework: Polar opposites enable interpretability of pre-trained word embeddings. In , The Web Conference 2020 : Proceedings of The World Wide Web Conference WWW 2020, April 20–24, 2020, Taipei, Taiwan (S. 1548-1558). , ACM: New York, NY.
Popović, R., Lemmerich, F. und Strohmaier, M. (2020). Joint multiclass debiasing of word embeddings. In , Foundations of intelligent systems : 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, proceedings (S. 79–89). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Strohmaier, M. (2020). Ranking people. In , Conversational Search : Dagstuhl Seminar 19461 (S. 45). Dagstuhl Reports, Schloss Dagstuhl: Wadern.
Wegmann, A., Lemmerich, F. und Strohmaier, M. (2020). Detecting different forms of semantic shift in word embeddings via paradigmatic and syntagmatic association changes. In , The Semantic Web – ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, proceedings, Part I (S. 619–635). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Espín-Noboa, L., Lemmerich, F., Walk, S., Strohmaier, M. und Musen, M. A. (2019). HopRank: How semantic structure influences teleportation in PageRank (a case study on BioPortal). In , The Web Conference 2019 : Proceedings of The World Wide Web Conference WWW 2019, May 13–17, 2019, San Francisco, CA, USA (S. 2708-2714). , ACM: New York, NY.
Kasper, P., Koncar, P., Walk, S., Santos, T., Wölbitsch, M., Strohmaier, M. und Helic, D. (2019). Modeling user dynamics in collaboration websites. In , Dynamics On and Of Complex Networks III : machine learning and statistical physics approaches (S. 113–133). , Springer: Cham.
Knoche, M., Popović, R., Lemmerich, F. und Strohmaier, M. (2019). Identifying biases in politically biased Wikis through word embeddings. In , HT ’19 : Proceedings of the 30th ACM Conference on Hypertext and Social Media, September 17–20, 2019, Hof, Germany (S. 253–257). , ACM: New York, NY.
Santos, T., Walk, S., Kern, R., Strohmaier, M. und Helic, D. (2019). Self- and cross-excitation in Stack Exchange Question & Answer communities. In , The Web Conference 2019 : Proceedings of The World Wide Web Conference WWW 2019, May 13–17, 2019, San Francisco, CA, USA (S. 1634-1645). , ACM: New York, NY.
Scholtes, I. und Strohmaier, M. (2019). Data science. In , INFORMATIK 2019 : 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Konferenzbeiträge der 49. Jahrestagung der Gesellschaft für Informatik, 23.-26.9.2010, Kassel, Deutschland (S. 187–188). GI-Edition : Lecture Notes in Informatics. Proceedings, Ges. für Informatik: Bonn.
Strohmaier, M. (2019). Measuring social and political phenomena on the web. In , Computational social science and complex systems : proceedings of the International School of Physics „Enrico Fermi“, Varenna on Lake Como, Villa Monastero, 16–24 July 2018 (S. 51–56). Rendiconti della Scuola Internazionale di Fisica Enrico Fermi = Proceedings of the International School of Physics Enrico Fermi, IOS Press: Amsterdam.
Dimitrov, D., Lemmerich, F., Flöck, F. und Strohmaier, M. (2018). Query for architecture, click through military: Comparing the roles of search and navigation on Wikipedia. In , WebSci '18 : Proceedings of the 10th ACM Conference on Web Science, May 27–30, 2018, Amsterdam, Netherlands (S. 371–380). , ACM: New York, NY.
Samoilenko, A., Lemmerich, F., Zens, M., Jadidi, M., Génois, M. und Strohmaier, M. (2018). (Don't) mention the war: A comparison of Wikipedia and Britannica articles on national histories. In , The Web Conference 2018 : Proceedings of the World Wide Web Conference WWW2018, April 23 -27, 2018, Lyon, France (S. 843–852). , ACM: New York, NY.
Smirnov, I. (2018). Predicting PISA scores from students' digital traces. In , Proceedings of the Twelfth International AAAI Conference on Web and Social Media (ICWSM 2018) (S. 360–364). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
Dimitrov, D., Singer, P., Lemmerich, F. und Strohmaier, M. (2017). What makes a link successful on Wikipedia? In , WWW '17 : Proceedings of the 26th International Conference on World Wide Web, May 3–7, 2017, Perth, Australia (S. 917–926). , ACM: New York, NY.
Espín-Noboa, L., Lemmerich, F., Strohmaier, M. und Singer, P. (2017). A hypotheses-driven Bayesian approach for understanding edge formation in attributed multigraphs. In , Complex Networks & their Applications V : Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) (S. 3–16). Studies in Computational Intelligence : SCI, Springer: Berlin ; Heidelberg ; New York, NY.
Hannák, A., Wagner, C., Garcia, D., Mislove, A., Strohmaier, M. und Wilson, C. (2017). Bias in online freelance marketplaces: Evidence from TaskRabbit and Fiverr. In , CSCW ’17 : Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, Feb. 25–Mar. 1, 2017, Portland, OR, USA (S. 1914-1933). , ACM: New York, NY.
Koncar, P., Walk, S., Helic, D. und Strohmaier, M. (2017). Exploring the impact of trolls on activity dynamics in real-world collaboration networks. In , WWW '17 Companion : Proceedings of the 26th International Conference on World Wide Web, April 3–7, 2017, Perth, Australia (S. 1573-1578). , ACM: New York, NY.
Lamprecht, D., Strohmaier, M. und Helic, D. (2017). A method for evaluating the navigability of recommendation algorithms. In , Complex Networks & Their Applications : Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) (S. 247–259). Studies in Computational Intelligence : SCI, Springer: Berlin ; Heidelberg ; New York, NY.
Lemmerich, F., Singer, P., Becker, M., Espín-Noboa, L., Dimitrov, D., Helic, D., Hotho, A. und Strohmaier, M. (2017). A Bayesian approach for comparing hypotheses about sequential data and its applications. In , LWDA 2017 : Lernen, Wissen, Daten, Analysen (LWDA) conference proceedings, Rostock, Germany, September 11–13, 2017 (S. 99). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Lemmerich, F., Singer, P., Becker, M., Espín-Noboa, L., Dimitrov, D., Helic, D., Hotho, A. und Strohmaier, M. (2017). Comparing hypotheses about sequential data: A Bayesian approach and its applications. In , Machine Learning and Knowledge Discovery in Databases : European conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, proceedings. Part 3 (S. 354–357). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Samoilenko, A., Lemmerich, F., Weller, K., Zens, M. und Strohmaier, M. (2017). Analysing timelines of national histories across Wikipedia editions: A comparative computational approach. In , Proceedings of the Eleventh International AAAI Conference on Web and Social Media : 15–18 May 2017, Montréal, Québec, Canada (S. 210–219). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
Singer, P., Lemmerich, F., West, R., Zia, L., Wulczyn, E., Strohmaier, M. und Leskovec, J. (2017). Why we read Wikipedia. In , WWW '17 : Proceedings of the 26th International Conference on World Wide Web, May 3–7, 2017, Perth, Australia (S. 1591-1600). , ACM: New York, NY.
Smirnov, I. (2017). The digital flynn effect: Complexity of posts on social media increases over time. In , Social Informatics : 9th International Conference, SocInfo 2017, Oxford, UK, September 13–15, 2017, Proceedings, Part II (S. 24–30). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Stanisavljevic, D., Hasani-Mavriqi, I., Lex, E., Strohmaier, M. und Helic, D. (2017). Semantic stability in Wikipedia. In , Complex networks & their applications V : Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) (S. 379–390). Studies in Computational Intelligence : SCI, Springer: Berlin ; Heidelberg ; New York, NY.
Wagner, C., Singer, P., Karimi, F., Pfeffer, J. und Strohmaier, M. (2017). Sampling from social networks with attributes. In , WWW '17 : Proceedings of the 26th International Conference on World Wide Web, May 3–7, 2017 Perth, Australia (S. 1181-1190). , ACM: New York, NY.
Walk, S., Esín-Noboa, L., Helic, D., Strohmaier, M. und Musen, M. A. (2017). How users explore ontologies on the Web: A study of NCBO's BioPortal usage logs. In , WWW '17 : Proceedings of the 26th International Conference on World Wide Web, May 3–7, 2017, Perth, Australia (S. 775–784). , ACM: New York, NY.
Becker, M., Mewes, H., Hotho, A., Dimitrov, D., Lemmerich, F. und Strohmaier, M. (2016). SparkTrails: A MapReduce implementation of HypTrails for comparing hypotheses about human trails. In , WWW '16 Companion : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 17–18). , ACM: New York, NY.
Dimitrov, D., Singer, P., Lemmerich, F. und Strohmaier, M. (2016). Visual positions of links and clicks on Wikipedia. In , WWW '16 Companion : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 27–28). , ACM: New York, NY.
Espín-Noboa, L., Lemmerich, F., Singer, P. und Strohmaier, M. (2016). Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data. In , WWW '16 Companion : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 537–542). , ACM: New York, NY.
Garcia, D. und Strohmaier, M. (2016). The QWERTY effect on the Web : How typing shapes the meaning of words in online human-computer interaction. In , WWW '16 : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 661–670). , ACM: New York, NY.
Geigl, F., Lerman, K., Walk, S., Strohmaier, M. und Helic, D. (2016). Assessing the navigational effects on click biases and link insertion on the Web. In , HT’16 : proceedings of the 27th ACM Conference on Hypertext and Social Media, July 10–13, 2016, Halifax, Nova Scotia, Canada (S. 37–47). , ACM: New York, NY.
Geigl, F., Walk, S., Strohmaier, M. und Helic, D. (2016). Steering the random surfer on directed webgraphs. In , 2016 IEEE/WIC/ACM International Conference on Web Intelligence : WI 2016, Omaha, NE, USA, 13–16 October 2016, proceedings (S. 280–287). , IEEE: Piscataway, NJ.
Hall, M., Mazarakis, A., Peters, I., Chorley, M., Caton, S., Mai, J.-E. und Strohmaier, M. (2016). Following user pathways: Cross platform and mixed methods analysis in social media studies. In , CHI EA '16 : extended abstracts of the 34th Annual CHI Conference on Human Factors in Computing Systems, San Jose Convention Center, San Jose, CA, USA, May 7–12 (S. 3400-3407). , ACM: New York, NY.
Karimi, F., Wagner, C., Lemmerich, F., Jadidi, M. und Strohmaier, M. (2016). Inferring gender from names on the Web: A comparative evaluation of gender detection methods. In , WWW '16 Companion : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 53–54). , ACM: New York, NY.
Lamprecht, D., Dimitrov, D., Helic, D. und Strohmaier, M. (2016). Evaluating and improving navigability of Wikipedia: A comparative study of eight language editions. In , Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016 : August 17–19, 2016, Berlin, Germany (S. 1–10). , ACM: New York, NY.
Lemmerich, F., Becker, M., Singer, P., Helic, D., Hotho, A. und Strohmaier, M. (2016). Mining subgroups with exceptional transition behavior. In , KDD ’16 : Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 13–17, 2016, San Francisco, CA, USA (S. 965–974). , ACM: New York, NY.
Liao, Q. V., Fu, W.-T. und Strohmaier, M. (2016). #Snowden: Understanding biases introduced by behavioral differences of opinion groups on social media. In , #chi4good : CHI 2016, the 34th Annual CHI Conference on Human Factors in Computing Systems, San Jose Convention Center, San Jose, CA, USA, May 7–12, proceedings (S. 3352-3363). , ACM: New York, NY.
Weber, I., Wagner, C., Strohmaier, M. und Aiello, L. M. (2016). Computational social science for the World Wide Web (CSSW3). In , WWW '16 Companion : Proceedings of the 25th International Conference on World Wide Web, May 11–15, 2016, Montreal, Canada (S. 1037-1038). , ACM: New York, NY.
Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D. und Strohmaier, M. (2015). Analyzing geo-spatial trails: Visualizing and comparing movement hypotheses. In , LWA 2015 : Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7–9, 2015 (S. 120). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D. und Strohmaier, M. (2015). Photowalking the city: Comparing hypotheses about urban photo trails on Flickr. In , Social Informatics : 7th International Conference, SocInfo 2015, Beijing, China, December 9–12, 2015, proceedings (S. 227–244). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D. und Strohmaier, M. (2015). VizTrails: An information visualization tool for exploring geographic movement trajectories. In , HT’15 : proceedings of the 26th ACM Conference on Hypertext & Social Media, September 1–4, 2015, Guzelyurt, Northern Cyprus (S. 319–320). , ACM: New York, NY.
Dimitrov, D., Singer, P., Helic, D. und Strohmaier, M. (2015). The role of structural information for designing navigational user interfaces. In , HT '15 : proceedings of the 26th ACM Conference on Hypertext & Social Media, September 1–4, 2015, Guzelyurt, Northern Cyprus (S. 59–68). , ACM: New York, NY.
Geigl, F., Lamprecht, D., Hofmann-Wellenhof, R., Walk, S., Strohmaier, M. und Helic, D. (2015). Random surfers on a web encyclopedia. In , Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, i-KNOW 2015 : 21 – 22 October 2015, Graz, Austria (S. 1–8). , ACM: New York, NY.
Kling, C., Kunegis, J., Hartmann, H., Strohmaier, M. und Staab, S. (2015). Voting behaviour and power in online democracy: A study of LiquidFeedback in Germany's pirate party. In , Proceedings of the Ninth International AAAI Conference on Web and Social Media : May 26–29 2015, Oxford, United Kingdom (S. 208–217). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
Kröll, M. und Strohmaier, M. (2015). Associating intent with sentiment in weblogs. In , Natural language processing and information systems : 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17–19, 2015, proceedings (S. 212–219). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Lamprecht, D., Geigl, F., Karas, T., Walk, S., Helic, D. und Strohmaier, M. (2015). Improving recommender system navigability through diversification: A case study of IMDb. In , Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, i-KNOW 2015 : 21 – 22 October 2015, Graz, Austria (S. 1–8). , ACM: New York, NY.
Lamprecht, D., Helic, D. und Strohmaier, M. (2015). Quo Vadis? On the effects of Wikipedia’s policies on navigation. In , Wikipedia, a Social Pedia: Research Challenges and Opportunities : papers from the 2015 ICWSM workshop [held Tuesday, May 26, 2015 in Oxford, UK] (S. 64–66). Technical report / Association for the Advancement of Artificial Intelligence. WS, AAAI Press: Palo Alto, Calif..
Laufer, P., Wagner, C., Flöck, F. und Strohmaier, M. (2015). Mining cross-cultural relations from Wikipedia : A study of 31 European food cultures. In , Proceedings of the 2015 ACM Web Science Conference, University of Oxford, June 28th – July 1st, 2015, Oxford, United Kingdom (S. 1–10). , ACM: New York, NY.
Posch, L., Bleier, A., Schaer, P. und Strohmaier, M. (2015). The polylingual labeled topic model. In , KI 2015: Advances in Artificial Intelligence : 38th Annual German Conference on AI Dresden, Germany, September 21–25, 2015, proceedings (S. 295–301). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Samoilenko, A., Karimi, F., Kunegis, J., Edler, D. und Strohmaier, M. (2015). Linguistic influence patterns within the global network of Wikipedia language editions. In , Proceedings of the 2015 ACM Web Science Conference, University of Oxford, June 28 – July 1, 2015, Oxford, United Kingdom (S. 1–2). , ACM: New York, NY.
Singer, P., Helic, D., Hotho, A. und Strohmaier, M. (2015). HypTrails: A Bayesian approach for comparing hypotheses about human trails on the Web. In , WWW '15 : Proceedings of the 24th International Conference on World Wide Web, May 18–22, 2015, Florence, Italy (S. 1003-1013). , ACM: New York, NY.
Wagner, C., Garcia, D., Jadidi, M. und Strohmaier, M. (2015). It's a man's Wikipedia? Assessing gender inequality in an online encyclopedia. In , Proceedings of the Ninth International AAAI Conference on Web and Social Media : May 26–29 2015, Oxford, United Kingdom (S. 454–463). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
Walk, S., Singer, P., Espín Noboa, L., Tudorache, T., Musen, M. A. und Strohmaier, M. (2015). Understanding how users edit ontologies: Comparing hypotheses about four real-world projects. In , The Semantic Web – ISWC 2015 : 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11–15, 2015, proceedings. Part I (S. 551–568). Lecture Notes in Computer Science, Springer: Berlin [u.a.].

Arenas, M., Corcho, O., Simperl, E., Strohmaier, M., d’Aquin, M., Srinivas, K., Groth, P., Dumontier, M., Heflin, J., Thirunarayan, K. und Staab, S. (Hrsg.) (2015). The Semantic Web – ISWC 2015 : 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11–15, 2015, proceedings, Part I. Berlin [u.a.]: Springer.

Pellert, M., Schweighofer, S. und Garcia, D. (2022). Social media data in affective science. In Handbook of computational social science (S. 240–255). London: Routledge, Taylor & Francis Group.
Sivak, E. und Smirnov, I. (2020). Measuring adolescents’ well-being: Correspondence of naïve digital traces to survey data. In Social Informatics : 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, proceedings (S. 352–363). Berlin [u.a.]: Springer.
Dimitrov, D., Helic, D. und Strohmaier, M. (2018). Tag-based navigation and visualization. In Social information access : systems and technologies (S. 181–212). Berlin [u.a.]: Springer.
Russell, M. G., Flora, J., Strohmaier, M., Pöschko, J., Perez, R., Yu, J., Smith, M. A. und Rubens, N. (2015). Semantic analysis of energy-related conversations in social media: A Twitter case study. In Communicating sustainability for the green economy (S. 223–241). London ; New York: Routledge, Taylor & Francis Group.

Singer, P., Niebler, T., Hotho, A. und Strohmaier, M. (2018). Folksonomies. In , Encyclopedia of social network analysis and mining (S. 851–855). New York, NY: Springer.

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