2023

Gregor Donabauer, Udo Kruschwitz: Exploring Fake News Detection with Heterogeneous Social Media Context Graphs. 45th European Conference on Information Retrieval (ECIR) 2023: 396-405

Hoai-Nam Tran, Udo Kruschwitz: Towards Reducing Misinformation and Toxic Content Using Cross-Lingual Text Summarization “  Proceedings of  the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2023)  at ECIR 2023.

Ognibene, D., Donabauer, G., Theophilou, E. et al. Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context.Datenbank Spektrum (2023). https://doi.org/10.1007/s13222-023-00436-3
 

2022

Theophilou, E., Amarasinghe, I., Hernández Leo, D., Lobo, R., & Crespi, F. (2021). Towards socially shared regulation within CSCL scripts: mirroring group participation in PyramidApp. In (LASI-SPAIN 2021); 2021 Jul 7-9; Barcelona, Spain. Aachen: CEUR Workshop Proceedings; 2021.. CEUR Workshop Proceedings.

Sánchez-Reina, JR; Hernández-Leo, D; Theophilou, E.; Lobo-Quintero, R. ‘But I don’t wanna share my data’. Analyzing teen’s concerns about the use of social media.  IAMCR 2022 Conference. Communication Research in the Era of Neo-Globalisation: Reorientations, Challenges and Changing Contexts (Beijing and Online).

Emotion-Core: An open source framework for emotion detection research N Alvarez-Gonzalez, A Kaltenbrunner, V Gómez Software Impacts, 100179 2021

Uncovering the Limits of Text-based Emotion Detection N Alvarez-Gonzalez, A Kaltenbrunner, V Gómez Findings of Empirical Methods in Natural Language Processing (EMNLP)

Amarasinghe, I., Michos, K., Crespi, F., Hernández-Leo, D.. Learning Analytics Support to Teachers’ Design and Orchestrating Tasks (2022). Journal of Computer Assisted Learning (in press)

Dieckmann, M., Hernandez-Leo, D., & Amarasinghe, I. (2022). Flagging in teacher-facing orchestration dashboards: Factors affecting its use in Pyramid CSCL debriefing, 2022 International Conference on Advanced Learning Technologies (ICALT), pp. 133 - 135.

Philipp Hartl, Udo Kruschwitz: Applying Automatic Text Summarization for Fake News Detection. To appear in Proceedings of the 13th Language Resources and Evaluation conference (LREC) (2022).
https://arxiv.org/abs/2204.01841

Christoph Turban, Udo Kruschwitz: Tackling Irony Detection using Ensemble Classifiers and Data Augmentation. To appear in Proceedings of the 13th Language Resources and Evaluation conference (LREC) (2022).

Philipp Hartl, Udo Kruschwitz: University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection. CLEF (Working Notes) 2021: 508-519 (2021).
http://ceur-ws.org/Vol-2936/paper-40.pdf

Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig: University of Regensburg @ PAN: Profiling Hate Speech Spreaders on Twitter. CLEF (Working Notes) 2021: 2083-2089 (2021).
http://ceur-ws.org/Vol-2936/paper-184.pdf

Hoai Nam Tran, Udo Kruschwitz: ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models. In Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021, pages 83–87, Online (2021).
https://aclanthology.org/2021.germeval-1.12/

Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig. UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments. In Proceedings of the
GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021, pages 95–99, Online (2021).
https://aclanthology.org/2021.germeval-1.14.pdf

Submitted:

Lobo R, Sánchez-Reina R, Theophilou E & Hernández-Leo D (2022). Analyzing the intrinsic motivation in narrative scripts to enhance social media awareness. Paper submitted for the Helmeto Conference 2022.

Sánchez-Reina, J. R., Theophilou, E., Hernández-Leo, D., & Medina-Bravo, P. (2021). The power of beauty or the tyranny of algorithms. How do teens understand body image on Instagram?. In conference proceedings VI Congreso Internacional Comunicación y Pensamiento. La revolución de los prosumers: Youtubers e instagramers (2021).

Theophilou E., Schwarze V., Schäwel J., Sánchez-Reina R., Scifo L., Lomonaco F., Taibi D. & Eimler S. (2022). Enhancing Social Media Literacy Skills in Students: Empirically Investigating Virtual Learning Companions. Manuscript submitted for publication.

Odakura, Valguima; Amarasinghe, Ishari; Hernández-Leo, Davinia; Sánchez-Reina, J Roberto; Theophilou, Emily; Quintero,  René. Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with open-ended task. Submitted do Collabtech 2022

2021

Amarasinghe, I., Hernández-Leo, D., Theophilou, E., Sánchez-Reina, R., & Lobo, R. (2021). Learning gains in Pyramid computer-supported collaboration scripts: factors and implications for design. Paper submitted for CollabTech Conference 2021, Trier, Germany.

R Lobo-Quintero, Hernandez-Leo, D. (2021) An analysis of the Game Mechanics and Learning Analytics behind Pyramid collaboration scripts. Workshop @ the 11th International Conference on Learning Analytics

Donabauer, G., & Kruschwitz, U. (2021). University of Regensburg @SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text. Proceedings of the 1st Shared Task on Sentence End and Punctuation Prediction in NLG Text (SEPP-NLG 2021) at SwissText 2021.

Donabauer, G., Kruschwitz, U., & Corney, D. (2021). Making Sense of Subtitles: Sentence Boundary Detection and Speaker Change Detection in Unpunctuated Texts. Proceedings of the 2nd International Workshop on Cross/Multi modal Natural Language Processing (NLPBT 2021) co-located with The Web Conference 2021. ACM.

Hernandez-Leo, D., Theophilou, E., Lobo, R., Sánchez-Reina, R., & Ognibene, D. (2021). Narrative scripts embedded in social media towards empowering digital and self-protection skills. European Conference on Technology-Enhanced Learning 2021, Springer, LNCS.

Hilbig, L., Schwarze, V., Escher, B., Scharnetzki, J., Arlinghaus, C., & Eimler, S. C. (2021). Pride and Prejudice: A Stereotype-Content-Model Study on Young People's Perception of Social Media Subgroups. Poster presented at MediaPsych 2021, Aachen, Germany.

Hoffmann, J., & Kruschwitz, U. (2021). UR_NLP @ HaSpeeDe 2 at EVALITA 2020: Towards Robust Hate Speech Detection with Contextual Embeddings" EVALITA 2020. CEUR Workshop Proceedings, vol. 2765.

Malzahn, N., Aprin, F., Hoppe, H. U., Eimler, S. C., & Moder, S. (2021): Measuring disagreement in learning groups as a basis for identifying and discussing controversial judgements. In C. Hmelo-Silver, B. De Wever, & J. Oshima (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 233–236). International Society of the Learning Sciences, 2021.

Ognibene, D., Taibi, D., Kruschwitz, U., Wilkens, R. S., Hernandez-Leo, D., Theophilou, E., Scifo, L., Lobo, R. A., Lomonaco, F., Eimler, S. C., Hoppe, H. U., & Malzahn, N., (2021). Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion. arXiv preprint arXiv:2102.04211.

Sánchez-Reina, J. R., Theophilou, E., Hernández-Leo, D., & Medina-Bravo, P. (2021). The power of beauty or the tyranny of algorithms. How do teens understand body image in Instagram?. In conference proceedings VI Congreso Internacional Comunicación y Pensamiento. La revolución de los prosumers: Youtubers e instagramers (2021). Manuscript in review.

Schwarze, V., Hilbig, L., Grewe, A., Siepmann, M, Lobermeier, T., & Eimler, S. C. (2021). Right Where we Belong - Investigating Young People's Perceptions of Social Groups in Social Media vs. Society at Large. Poster presented at MediaPsych 2021, Aachen, Germany.

Scifo L., Bruno N., Fulantelli G., & Taibi D. (2021). Promoting and supporting constructive use of social media in adolescents: a pilot study in secondary schools in Italy [Manuscript submitted for publication].

Theophilou, E., Amarasinghe, A., Hernández-Leo, D., Lobo, R., & Crespi, F. (2021). Towards socially shared regulation within CSCL scripts: mirroring group participation in PyramidApp. Proceedings of the Learning Analytics Summer Institute Spain 2021, Barcelona. Accepted, to be published in CEUR proceedings.

Wilkens, R, Ognibene, D. (2021). MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks. Proceedings of the First Shared sEXism Identification in Social neTworks (EXIST) at  Iberian Languages Evaluation Forum (IberLEF) 2021.

2020

Martínez-Moreno, J., Hernández-Leo, D., & Santos, P. (2020). Artificial intelligence and social media threats: Increasing teenagers' reflective thinking through digital literacy. WSAI2020 Workshop. Interaction Design and Children (IDC) conference, 2020.

Ognibene, D., Fiore, V. G. & Gu, X. (2019). Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality. Neural Networks, 116, 269–278. https://doi.org/10.1016/j.neunet.2019.04.022

Tabibian, B., Gómez, V., De, A., Schölkopf, B., & Gomez Rodriguez, M. (2020). On the Design of Consequential Ranking Algorithms. In J. Peter, & D. Sontag (Eds.), Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (pp. 171-180). MLR Press.

Datasets and resources

(1) Datasets and code for the detection of sentence boundary detection
and speaker change detection in transcribed texts:
https://github.com/doGregor/SBD-SCD-pipeline

(2) Code for ensemble-based hate speech detection classifiers for
Italian social media: https://github.com/Juuuuuuul/HateSpeechDetection

(3) Datasets and code for the detection of fake news (English):
https://github.com/phHartl/lrec_2022

(4) Dataset, code and analysis for the detection of irony (English):
https://github.com/ChristophTurban/LREC-Irony-Detection-Ensemble-Classifier

(5) Code for profiling hate spreaders on Twitter (English and Spanish):

(6) Code and data for toxic comment classification / engaging comment classification / fact-claiming comment classification (German):
https://github.com/HN-Tran/GermEval2021

(7) Code and data for toxic comment classification / engaging comment classification / fact-claiming comment classification (German):
https://github.com/kaodamie/GermEval2021_Kobby_participation