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. [email protected]_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.

Fulantelli, G., Scifo, L., & Taibi, D. (2021). Training School Activities to Promote a Conscious Use of Social Media and Human Development According to the Ecological Systems Theory. Proceedings of the 13th International Conference on Computer Supported Education. Published. https://doi.org/10.5220/0010513005170524

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 Networks116, 269–278. https://doi.org/10.1016/j.neunet.2019.04.022

Puvia, E., Monteleone, V., Fulantelli, G. & Taibi, D. (2020). Facing the Appeal of Social Networks: Methodologies and Tools to Support Students towards a Critical Use of the Web. Proceedings of the 12th International Conference on Computer Supported Education. Published. https://doi.org/10.5220/0009571105670573

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