Publications

The following list shows all publications with participations of UCSM PhD-Students from 2016 to 2018.

Note: PhD-Students of the UCSM are written in bold.

2018

Dungs, S., Aker, A., Fuhr N., Bontcheva K. (2018) Can Rumour Stance Alone Predict Veracity? Accepted Paper at COLING 2018

Kunkel, J., Donkers, T., Barbu, C. M., & Ziegler, J. (2018). Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations. In Companion Proceedings of the 23rd International on Intelligent User Interfaces: 2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).

Lloret, E., Plaza, L., & Aker, A. (2017). The challenging task of summary evaluation: an overview. Language Resources and Evaluation, 1-48.

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

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

Stieglitz, S., Mirbabaie, M., & Milde, M. (2018). Social Positions and Collective Sense-Making in Crisis Communication. International Journal of Human–Computer Interaction, 34(4), 328-355.

Wojatzki, M., Zesch, T., Mohammad, S., & Kiritchenko, S. (2018). Agree or Disagree: Predicting Judgments on Nuanced Assertions. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (pp. 214-224).

Wojatzki, M., Mohammad, S.M., Zesch, T., Kiritchenko, S. (2018). Quantifying Qualitative Data for Understanding Controversial Issues. In Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (pp. 1405-1418).

Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2018). Detection and resolution of rumours in social media: A survey. ACM Computing Surveys (CSUR), 51(2), 32.

2017

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). 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.

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., 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. , 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.

Elsweiler, D., Hors-Fraile, S., Ludwig, B., Said, A., Schäfer, H., Trattner, C., Torkamaan, H. & Calero Valdez, A. (2017, August). Second workshop on health recommender systems:(healthrecsys 2017). In Proceedings of the Eleventh ACM Conference on Recommender Systems (pp. 374-375). ACM.

Feuerbach, J., Loepp, B., Barbu, C. M., & Ziegler, J. (2017). Enhancing an Interactive Recommendation System with Review-based Information Filtering. In 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 

Funk, A., Aker, A., Barker, E., Paramita, M. L., Hepple, M., & Gaizauskas, R. (2017, April). The SENSEI Overview of Newspaper Readers’ Comments. In European Conference on Information Retrieval (pp. 758-761). Springer, Cham.

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 (ENIC).

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. (2017). Do LSTMs really work so well for PoS tagging?–A replication study. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 727-736).

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

Meis, R., & Heisel, M. (2017). Aspect Frames: Describing Cross-Cutting Concerns in Aspect-Oriented Requirements Engineering. In Proceedings of the 22nd European Conference on Pattern Languages of Programs (p. 25). ACM.

Meis, R., & Heisel, M. (2017). Computer-Aided Identification and Validation of Intervenability Requirements. Information, 8(1), 30.

Meis, R., & Heisel, M. (2017). Pattern-based Representation of Privacy Enhancing Technologies as Early Aspects. In International Conference on Trust and Privacy in Digital Business (pp. 49-65). Springer, Cham.

Meis, R., & Heisel, M. (2017). Towards Systematic Privacy and Operability (PRIOP) Studies. In IFIP International Conference on ICT Systems Security and Privacy Protection (pp. 427-441). Springer, Cham.

Mirbabaie, M., Stieglitz, S., & Kubat, P. (2017). Mobile Unterstützung für Hilfsorganisationen in Krisensituationen. INFORMATIK 2017.

Mirbabaie, M., & Zapatka, E. (2017). Sensemaking in Social Media Crisis Communication–A Case Study on the Brussels Bombings in 2016.

Mirbabaie, M., Stieglitz, S., & Eiro, M. R. (2017). # IronyOff–Understanding the Usage of Irony on Twitter during a Corporate Crisis.

Mohammadi, N. G., & Heisel, M. (2017). A Framework for Systematic Refinement of Trustworthiness Requirements. Information, 8(2), 46.

Muslim, A., Chatti, M. A., Mughal, M., & Schroeder, U. (2017). The Goal-Question-Indicator Approach for Personalized Learning Analytics.

Ross, B., Rist, M., Carbonell, G., Cabrera, B., Kurowsky, N., & Wojatzki, M. (2017). Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis. Proceedings of KONVENS 2016, NLP4CMC workshop. Link

Sanchan, N., Aker, A., & Bontcheva, K. (2017). Automatic Summarization of Online Debates. In Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 2017 (pp. 19-27).

Sanchan, N., Aker, A., & Bontcheva, K. (2017). Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data.

Schäfer, H., Hors-Fraile, S., Karumur, R. P., Calero Valdez, A., Said, A., Torkamaan, H., ... & Trattner, C. (2017). Towards health (aware) recommender systems. In Proceedings of the 2017 international conference on digital health (pp. 157-161). ACM.

Schäwel, J., & Krämer, N. C. (2017). How to Spread Kindness: Effects of Rewarding Elements Within a Persuasive Application to Foster Prosocial Behavior. In International Conference on Smart Objects and Technologies for Social Good (pp. 163-172). Springer, Cham.

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., Schwenner, L., Marx, J., Lehr, J., & Brünker, F. (2017). Sensemaking and communication roles in social media crisis communication.

Torkamaan, H., & Ziegler, J. (2017, October). A taxonomy of mood research and its applications in computer science. In Affective Computing and Intelligent Interaction (ACII), 2017 Seventh International Conference on (pp. 421-426). IEEE.

Troncy, R., Rizzo, G., Jameson, A., Corcho, O., Plu, J., Palumbo, E., Barbu, C. & Rossi, M. (2017). 3cixty: Building comprehensive knowledge bases for city exploration. Web Semantics: Science, Services and Agents on the World Wide Web, 46, 2-13.

Valle, M. A., Ruz, G. A., & Masías, V. H. (2017). Using self-organizing maps to model turnover of sales agents in a call center. Applied Soft Computing, 60, 763-774.

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.

2016

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 

Benikova, D., & Biemann, C. (2016). SemRelData―Multilingual Contextual Annotation of Semantic Relations between Nominals: Dataset and Guidelines. In LREC.

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

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.

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

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 

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

Horsmann, T., & Zesch, T. (2016). LTL-UDE $@ $ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text. In Proceedings of the 10th Web as Corpus Workshop (pp. 120-126).

Masías, V. H., Baldwin, P., Laengle, S., Vargas, A., & Crespo, F. A. (2016). Exploring the prominence of Romeo and Juliet’s characters using weighted centrality measures. Digital Scholarship in the Humanities, 32(4), 837-858.

Meyer, N., Wojatzki, M., & Zesch, T. (2016, November). Validating Bundled Gap Filling--Empirical Evidence for Ambiguity Reduction and Language Proficiency Testing Capabilities. In 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, pp. 51-59). Linköping University Electronic Press.

Meis, R., & Heisel, M. (2016). Computer-aided identification and validation of privacy requirements. Information, 7(2), 28.

Meis, R., & Heisel, M. (2016). Understanding the privacy goal intervenability. In International Conference on Trust and Privacy in Digital Business (pp. 79-94). Springer, Cham.

Meyer, C. M., Benikova, D., Mieskes, M., & Gurevych, I. (2016). MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora. Proceedings of ACL-2016 System Demonstrations, 97-102.

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

Mirbabaie, M., Stieglitz, S., & Volkeri, S. (2016). Volunteered Geographic Information and Its Implications for Disaster Management. In System Sciences (HICSS), 2016 49th Hawaii International Conference on (pp. 207-216). IEEE.

Mohammadi, N. G., & Heisel, M. (2016). Enhancing business process models with trustworthiness requirements. In IFIP International Conference on Trust Management (pp. 33-51). Springer, Cham.

Mohammadi, N. G., & Heisel, M. (2016). Patterns for identification of trust concerns and specification of trustworthiness requirements. In Proceedings of the 21st European Conference on Pattern Languages of Programs (p. 31). ACM.

Mohammadi, N. G., & Heisel, M. (2016, September). A framework for systematic analysis and modeling of trustworthiness requirements using i* and BPMN. In International Conference on Trust and Privacy in Digital Business (pp. 3-18). Springer, Cham.

Muslim, A., Chatti, M. A., Mahapatra, T., & Schroeder, U. (2016, April). A rule-based indicator definition tool for personalized learning analytics. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 264-273). ACM.

Qasem, Z., Jansen, M., Hecking, T., & Hoppe, H. U. (2016, November). Influential actors detection using attractiveness model in social media networks. In International Workshop on Complex Networks and their Applications (pp. 123-134). Springer, Cham.

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

Rösner, L., Winter, S., & Krämer, N. C. (2016). Dangerous minds? Effects of uncivil online comments on aggressive cognitions, emotions, and behavior. Computers in Human Behavior, 58, 461-470.

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

Ulfat-Bunyadi, N., Meis, R., & Heisel, M. (2016). The Six-Variable Model-Context Modelling Enabling Systematic Reuse of Control Software. In ICSOFT-PT (pp. 15-26).

Ulfat-Bunyadi, N., Meis, R., Mohammadi, N. G., & Heisel, M. (2016). Introducing Product Line Engineering in a Bottom-up Approach. In ICSOFT-PT (pp. 146-153).

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.

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