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.


Barbu, C.-M., Carbonell, G., & Ziegler, J. (accepted). The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19). ACM.

Cabrera B. (2019) Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models. In: Agarwal N., Dokoohaki N., Tokdemir S. (eds) Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Lecture Notes in Social Networks. Springer, Cham. Link

Carbonell, G., Barbu, C., Vorgerd, L., & Brand, M. (2019). The impact of emotionality and trust cues on the perceived trustworthiness of online reviews. Cogent Business & Management 6(1), doi:10.1080/23311975.2019.1586062. Link

Deitelhoff, F., et al. (2019). An Intuitive Visualization for Rapid Data Analysis - Using the DNA Metaphor for Eye Movement Patterns. In Proceedings of the 2019 ACM Symposium on Eye Tracking Research and Applications. Denver, Colorado, USA: ACM. Link

Deitelhoff, F., et al. (2019). The Influence of Different AOI Models in Source Code Comprehension Analysis. In Proceedings of the 6th International Workshop on Eye Movements in Programming - EMIP ’19.

Diaz Ferreyra, N. E., Meis, R. & Heisel, M. (2019). Learning from Online Regrets: From Deleted Posts to Risk Awareness in Social Network Sites, Submitted for publication, 2019.

Frick, N., Brünker, F., Ross, B., & Stieglitz, S. (2019). Der Einsatz von künstlicher Intelligenz zur Verbesserung des Incident Managements. HMD Praxis der Wirtschaftsinformatik 56(2), 357–369. Link

Hecking, T., Steinert, L., Masias, V. H. & Hoppe, H. U. (2019). Positional analysis in crossmedia information diffusion networks. Applied Network Science, 4(1), 1. Link

Kößmeier, C. & Büttner, O. B. (2019). Why are We Distracted by Social Media? Examining Reasons for Distraction by Social Media, its Relation to Personality and Distraction Situations. Paper to be presented at The 10th International Conference on Social Media & Society, Toronto.

Ross, B., Pilz, L., Cabrera, B., Brachten, F., Neubaum, G., Stieglitz, S. (2019). Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks, European Journal of Information Systems, DOI: 10.1080/0960085X.2018.1560920. Link


Barbu, C. M., & Ziegler, J. Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System. RecTour 2018. Link

Bruns, A., Moon, B., Münch, F., Wikström, P., Stieglitz, S., Brachten, F., Ross, B. (2018). Detecting Twitter Bots That Share SoundCloud Tracks. In Proceedings of the 9th International Conference on Social Media and Society, Copenhagen, July 2018, pp. 251-255. Link

Cabrera, B., Ross, B., Dado, M., Heisel, M. (2018). The Gender Gap in Wikipedia Talk Pages. In Proceedings of the Twelfth International Conference on Web and Social Media (ICWSM-2018), pp. 572-575. Link

Cabrera, B., Heindel, T., Heckel, R., & König, B. (2018). Updating Probabilistic Knowledge on Condition/Event Nets using Bayesian Networks. In LIPIcs-Leibniz International Proceedings in Informatics (Vol. 118). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. Link

Carbonell, G., & Brand, M. (2018). 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, 34(2), 117-128. Link

Carbonell, G., Brand, M., & Meshi, D. (2018). Number of users as a heuristic for making decision: Advice-taking in social media. In A. C. Schütz, A. Schubö, Do. Endres, & H. Lachnit (Eds.), Abstracts of the 60th Conference of Experimental Psychologists (TeaP) (p. 46). Lengerich: Pabst.

Carbonell, G. & Brand, M. (2018). Decision making with social media support: The case of physician rating websites. Abstract presented at the 29th International Conference of Applied Psychology, Montreal, Canada.

Carbonell, G., Meshi, D., & Brand, M. (2018). Social influence on physician rating websites: How the number of online recommendations influences decisions. Paper presented at The 68th Annual Conference of the International Communication Association, Prague, Czech Republic.

Carbonell, G., Meshi, D., & Brand, M. (2018). The use of recommendations on physician rating websites: The number of raters makes the difference when adjusting decisions. Health Communication, doi: Link

Dado, M., Bodemer D. (2018). Social and cognitive group awareness to aid socio-scientific argumentation on social media. Paper to be presented at the 13th International Conference on the Learning Sciences, London, UK. Link

Deitelhoff, F. (2018, June). Asynchronous gaze sharing: towards a dynamic help system to support learners during program comprehension. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (p. 70). ACM. Link

Deitelhoff, F., & Harrer, A. (2018, July). Towards a Dynamic Help System: Support of Learners During Programming Tasks Based Upon Historical Eye-Tracking Data. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT) (pp. 77-78). IEEE. Link

Díaz Ferreyra, N. E., Hecking, T., Hoppe, H. U., & Heisel, M. (2018, September). Access-Control Prediction in Social Network Sites: Examining the Role of Homophily. In International Conference on Social Informatics (pp. 61-74). Springer, Cham. Link

Diaz Ferreyra, N.E., Meis, R. & Heisel, M. (2018). At Your Own Risk: Shaping Privacy Heuristics for Online Self-disclosure. In Proceedings of the 16th Annual Conference on Privacy, Security and Trust (PST’16), (pp. 1–10). IEEE. Link

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

Elsweiler, D., Ludwig, B., Said, A., Schäfer, H., Torkamaan, H., & Trattner, C. (2018, September). Third international workshop on health recommender systems (healthrecsys 2018). In Proceedings of the 12th ACM Conference on Recommender Systems (pp. 517-518). ACM. Link

Fromm, J., Melzer, S., Ross, B., Stieglitz, S. (2018). Trump versus Clinton – Twitter Communication During the US Primaries. In Lecture Notes in Social Networks, Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródka, Przemyslaw Kazienko (eds.): Network Intelligence Meets User Centered Social Media Networks, pp. 201-217. Link

Hecking, T., Steinert, L., Masias, V. H., Hoppe H. U. (2018) Positional Analysis in Cross-media Information Diffusion Networks. Applied Network Science. Springer. Link


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). Link

Lloret, E., Plaza, L., & Aker, A. (2018). The challenging task of summary evaluation: an overview. Language Resources and Evaluation, 1-48. Link

Masías, V. H., Hecking, T., Hoppe H. U. (2018) Exploring the Relationship between Social Networking Site Usage and Participation in Protest Activities. Frontiers in Applied Mathematics and Statistics, section Quantitative Psychology and Measurement. Frontiers Media SA. Link

Masías, V. H., Hecking, T., Hoppe H. U. (2018) Social networking site usage and participation in protest activities in 17 Latin American countries. Telematics and Informatics (35)7. 1809- 1831. Link

Masood R. and Aker A. (2018). The Fake News Challenge: Stance Detection using Traditional Machine Learning Approaches. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-330-8, pages 128-135. DOI: 10.5220/0006898801280135. Link

Meinert J., Mirbabaie M., Dungs S., Aker A. (2018) Is It Really Fake? – Towards an Understanding of Fake News in Social Media Communication. In: Meiselwitz G. (eds) Social Computing and Social Media. User Experience and Behavior. SCSM 2018. Lecture Notes in Computer Science, vol 10913. Springer, Cham. Link

Muslim, A., Chatti, M. A., Bashir, M. B., Varela, O. E. B., & Schroeder, U. (2018). A modular and extensible framework for open learning analytics. Journal of Learning Analytics, 5(1):92–100. Link

Pilz, L. (2018). Scientific Paper Recommendations. Collaborative Technologies and Data Science in Smart City Applications, 53. Link

Rist, M., Aker, A., & Fuhr, N. (2018). Towards Making Sense of Online Reviews Based on Statement Extraction. Proceedings 7th International Conference on Natural Language Processing (NLP 2018), pp. 1-12.

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

Sliwa, A., Man, Y., Liu, R., Borad, N., Ziyaei, S., Ghobadi, M., Sabbah, F., Aker, A. (2018). Multi-lingual Argumentative Corpora in English, Turkish, Greek, Albanian, Croatian, Serbian, Macedonian, Bulgarian, Romanian and Arabic. In LREC. Link

Stieglitz, S., Meske, C., Ross, B., Mirbabaie, M. (2018). Going Back in Time to Predict the Future – The Complex Role of the Data Collection Period in Social Media Analytics. Information Systems Frontiers (ISF). 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. Link

Torkamaan, H., & Ziegler, J. (2018). Multi-Criteria Rating-Based Preference Elicitation in Health Recommender Systems. Link

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). Link

Wojatzki, M., Zesch T. (2018). Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty. In Proceedings of the Conference on Natural Language Processing (KONVENS’18), Vienna, Austria, (pp. 69–79). Link

Wojatzki, M., Horsmann T., Gold B., Zesch T. (2018). Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments. In Proceedings of the Conference on Natural Language Processing (KONVENS’18), Vienna, Austria, (pp. 110–120).

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). Link

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. 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. 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. Link

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. Link

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). Link

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

Dado, M., Bodemer, D. (2017). A review of methodological applications of social network analysis in computer-supported collaborative learning. Educational Research Review, 22, 159–180.  Link

Dado, M., Hecking, H., Bodemer D., Hoppe, H.U. (2017). On the Adoption of Social Network Analysis Methods in CSCL Research – A Network Analysis. Paper presented at the 12th International Conference on Computer Supported Collaborative Learning, 18. – 22.06.2017, Philadelphia, USA. Link

Deitelhoff, F. (2017). Applying Asynchronous Gaze Sharing and Social Navigation for Problem Solving Principles in an Programming Environment. In PPIG. 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). Link

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). Link

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). Link

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. Link

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. Link

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. 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 (ENIC). Link

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). 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

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. Link

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

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. Link

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. Link

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

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

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

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

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

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). Link

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

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. Link

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

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. Link

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. Link

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. Link

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. Link


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. Link

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. Link

Dado, M., Bodemer, D. (2016, August). A literature review of social network analysis in computer-supported collaborative learning. Poster presented at the EARLI Special Interest Group Meeting of SIG 6 (Instructional Design) and SIG 7 (Learning and Instruction with Computers), Dijon, France.

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. Link

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). Link

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. Link

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

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. Link

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. 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

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. Link

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. Link

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. Link

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. Link

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. Link

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. 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

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. Link

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