Barbu, C. M. (2016). Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources. Proceedings of the 10th ACM Conference on Recommender Systems, pp. 447-450. Link 

Barbu, C. M. & Ziegler, J. (2017). User Model Dimensions for Personalizing the Presentation of Recommendations. In Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O'Donovan, J., Tintarev, N., & Willemsen, M. C. (Eds.). Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2017), Como, Italy, August 2017. CEUR-WS 1884, pp. 27-31. Link 

Barbu, C. M. & Ziegler, J. (2017). Co-Staying: A Social Network for Increasing the Trustworthiness of Hotel Recommendations. In: Neidhardt, J., Fesenmaier, D., Kuflik, T., & Wörndl, W. (Eds.). Proceedings of the 2nd Workshop on Recommenders in Tourism (RecTour 2017), Como, Italy, August 2017. CEUR-WS 1906, pp. 35-39. Link

Barbu, C. M. & Ziegler, J. (2017). Users' Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations. In Domonkos, T. & Pu, P. (Eds.). Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August, 2017. CEUR-WS 1905, pp. 44-45. Link

Barbu, C. M. & Ziegler, J. (2017). Towards a Design Space for Personalizing the Presentation of Recommendations. In: Boratto, L., Carta, S., & Fenu, G. (Eds.). Proceedings of the 2nd Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS 2017), Lisbon, Portugal, June 2017. (to appear) 

Benikova, D., & Zesch, T. (2016). Bridging the gap between computable and expressive event representations in Social Media. Proceedings of the Uphill Battles in Language Processing, Austin, TX, USA, October, 2016, pp. 6-10. Link

Benikova, D., Wojatzki, M. & Zesch, T. (2017). What does this imply? Examining the Impact of Implicitness on the Perception of Hate Speech. Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL-2017). Berlin, Germany.

Benikova, D. & Zesch, T. (2017). Same same, but different: Compositionality of paraphrase granularity levels. Proceedings of the Recent Advances in Natural Language Processing (RANLP-2017). Varna, Bulgaria.

Cabrera, B. (2016). Towards Using Subpattern Distributions in Social Network Analysis. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), ASONAM '16.

Cabrera, B., Steinert, L. & Ross, B. (2017). Grawitas: A Grammar-based Wikipedia Talk Page Parser.Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pp. 21-24. Link

Cabrera, B. & König, B. (2017). Extracting the Main Path of Historic Events From Wikipedia. Proceedings of the 4th European Network Intelligence Conference (best paper award).

Carbonell, G. & Brand, M. (2017). Choosing a physician on social media: Comments and ratings of users are more important than the qualification of a physician. International Journal of Human-Computer Interaction, 1-12. Link

Díaz Ferreyra, N. E., & Schäwel, J. (2016). Self-disclosure in Social Media: An opportunity for Self-Adaptive Systems. Joint Proceedings of the Workshops and Doctoral Symposium on Requirements Engineering - Foundation of Software Quality (REFSQ 2016), Gothenburg, Sweden, March 14-15, 2016, Paper 14. Link

Díaz Ferreyra, N. E. , Schäwel, J., Heisel, M., & Meske, C. (2016). Addressing Self-disclosure in Social Media: An Instructional Awareness Approach. Proceedings of the 2nd ACS/IEEE International Workshop on Online Social Networks Technologies (OSNT), pp. 1-6. Link

Díaz Ferreyra, N. E. , Meis, R. & Heisel, M. (2017). Online Self-disclosure: From Users’ Regrets to Instructional Awareness. Proceedings of the IFIP International Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2017).

Díaz Ferreyra, N. E. , Meis, R. & Heisel, M. (2017). Towards an ILP Approach for Learning Privacy Heuristics From Users’ Regrets. Proceedings of the 4th European Network Intelligence Conference (ENIC 2017).

Díaz Ferreyra, N. E. , Meis, R. & Heisel, M. (2017). Should User-generated Content be a Matter of Privacy Awareness? (A Position Paper). Proceedings of the 9th International Conference On Knowledge Management and Information Sharing (KMIS 2017).

Dungs, S. & Fuhr, N. (2017). Advanced Hidden Markov Models for Recognizing Search Phases. Proceedings Of The 3rd ACM International Conference on the Theory of Information Retrieval., ICTIR '17. ACM, New York, NY, USA.

Dungs, S (2016). Describing user's search behaviour with Hidden Markov Models. In: Bulletin of IEEE Technical Committee on Digital Libraries Volume 12 Issue 2 November 2016 of TPDL '16, TCDL

Ferro, N., Fuhr, N., Järvelin, K., Kando, N., Lippold, M., & Zobel, J. (2016). Increasing Reproducibility in IR: Findings from the Dagstuhl Seminar on “Reproducibility of Data-Oriented Experiments in e-Science”. SIGIR Forum, June, 2016, pp. 68-82. Link 

Feuerbach, J., Loepp, B., Barbu, C. M., & Ziegler, J. (2017). Enhancing an Interactive Recommendation System with Review-based Information Filtering. In: Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O'Donovan, J., Tintarev, N., & Willemsen, M. C. (Eds.). Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2017), Como, Italy, August 2017. CEUR-WS 1884, pp. 2-9. Link 

Hecking, T., Steinert, L., Masias, V., Leßmann, S. & Hoppe, H. U. (2017). Identifying Accelerators of Information Diffusion across Social Media Channels. Proceedings of the 4th European Network Intelligence Conference

Hecking, T., Steinert, L., Masias, V. & Hoppe, H. U. (2017). Relational Patterns in Cross-media Information Diffusion Networks. Proceedings of the 6th International Conference on Complex Networks and their Appplications, pp. 1002-1014. Link

Horsmann, T. & Zesch, T. (2016). Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, Japan, 2016, pp. 328-336. Link

Horsmann, T. & Zesch, T. (2016). Building a Social Media Adapted PoS Tagger Using FlexTag – A Case Study on Italian Tweets. Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian - EVALITA 2016, Naples, Italy, 2016, pp. 95-89. Link

Meske, C., Brockmann, T., Stieglitz, S. & Ross, B. (2017). Impact of Mobile IT Consumerization on Organizations – An Empirical Study on the Adoption of BYOD Practices. Proceedings of the 4th International Conference on HCI in Business, Government and Organizations (HCIBGO), pp. 349-363. Link

Meyer, N., Wojatzki, M. & Zesch, T. (2016). Validating Bundled Gap Filling - Empirical Evidence for Ambiguity Reduction and Language Proficiency Testing Capabilities. Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition at SLTC, Umeå, 16th November 2016. No. 130. Linköping University Electronic Press, 2016. Link

Mirbabaie, M., Tschampel N., & Stieglitz, S. (2016). Geodaten in Social Media als Informationsquelle in Krisensituationen. Proceedings of the 9th Multikonferenz Wirtschaftsinformatik (MKWI), Ilmenau, Germany, March 9-11, 2016, pp. 315-326. Link

Remus, S., Hintz, G., Benikova, D., Arnold, T., Eckle-Kohler, J., Meyer, C. M., Mieskes, M., & Biemann, C. (2016). EmpiriST: AIPHES Robust Tokenization and POS-Tagging for Different Genres. Proceedings of the 10th Web as Corpus Workshop (WAC-X), Berlin, Germany, August, 2016, pp. 106–114. Link

Ross, B., Rist, M., Carbonell, G., Cabrera, B, Kurowsky, N., & Wojatzki, M. (2016). Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis. Proceedings of KONVENS 2016, NLP4CMC workshop. Link

Ross, B., Potthoff, T., Majchrzak, T. A., Chakraborty, N. R., Lazreg, M. B., Stieglitz, S. (2018). The Diffusion of Crisis-Related Communication on Social Media: An Empirical Analysis of Facebook Reactions. In Proceedings of the 51st Annual Hawaii International Conference on System Sciences (HICSS), Big Island, Hawaii, Januar 2018, pp. 2525-2534. (Best paper award) Link

Steinert, L., & Hoppe, H.U. (2016). What Makes a Good Recommendation? In: Yuizono, T., Ogata, H., Hoppe, U., and Vassileva, J. (eds.) Collaboration and Technology: Proceedings of the 22nd International Conference, CRIWG 2016, Kanazawa, Japan, September 14-16, 2016,  pp. 115–130. Springer International Publishing, Cham (2016). Link  

Steinert, L., & Hoppe, H. U. (2016). A Comparative Analysis of Network-Based Similarity Measures for Scientific Paper Recommendations. 2016 Third European Network Intelligence Conference (ENIC), pp. 17-24. Link

Stieglitz, S., Brachten, F., Ross, B., Jung, A. (2017). Do Social Bots Dream of Electric Sheep? A Categorisation of Social Media Bot Accounts. In Proceedings of the 28th Australasian Conference on Information Systems (ACIS), Hobart, Tasmania, Dezember 2017. Link

Stieglitz, S., Mirbabaie, M., Ross, B., Neuberger, C. (2018). Social Media Analytics – Challenges in Topic Discovery, Data Collection, and Data Preparation. International Journal of Information Management (IJIM) 39, pp. 156-168. Link

Wojatzki, M., Melamud, O., & Zesch, T. (2016). Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, San Diego, California, June, 2016, pp. 172-181. Link

Wojatzki, M., & Zesch, T. (2016). ltl. uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), San Diego, California, June, 2016, pp. 440-445. Link

Wojatzki, M., & Zesch, T. (2016). Stance-based Argument Mining–Modeling Implicit Argumentation Using Stance. Proceedings of the KONVENS, Bochum, Germany, 2016, pp. 313-322.

Wojatzki, M., & Zesch, T. (2017). Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence. Proceedings of the 2nd SEPLN Workshop on Evaluation of Human Language Technologies for Iberian Languages (IBEREVAL). Link

Wojatzki, M., Ruppert, E., Holschneider, S., Zesch, T., & Biemann, C. (2017). Germeval 2017: Shared task on aspect-based sentiment in social media customer feedback. Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pp. 1-12.

Zesch, T., & Horsmann, T. (2016). FlexTag: A Highly Flexible Pos Tagging Framework. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia, March 23, 2016, pp. 4259-4263. Link