2024

Börsting, J., Schwarze, V., Aprin, F., Malzahn, N., Hoppe, H. U., & Eimler, S. C. (2024). Accompany Me – Fighting Racism on Social Media Using a Virtual Learning CoBörsmpanion [Manuscript submitted for publication].

Börsting, J., Schwarze, V., Theophilou, E., Sánchez-Reina, J. R., Odakura, V., Taibi, D., Scifo, L., Fulantelli, G., Hernández-Leo, D., & Eimler, S. C. (2024). An Empathy Training for Sensitizing Adolescents for Cyberbullying on Social Media: A Cross-National Study [Manuscript submitted for publication].

Donabauer, G., & Kruschwitz, U. (in press). Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations. Proceedings of LREC-Coling 2024. 

Donabauer, G., Theophilou, E., Lomonaco, F.,  Buršić, S., Taibi, D., Hernández-Leo, D., Kruschwitz, U., & Ognibene, D. (in press). Empowering Users and Mitigating Harm: Leveraging Nudging Principles to Enhance Social Media Safety. Proceedings of TRAC 2024.

Gabbiadini, A., Ognibene, D., Baldissarri, C., & Anna, M. (2024). The emotional impact of generative AI: negative emotions and perception of threat. Behaviour & Information Technology, 1–18. https://doi.org/10.1080/0144929x.2024.2333933

Lobo-Quintero, R., & Hernández-Leo, D. (2024). Examining Intrinsic and Extrinsic Game Mechanics in Jigsaw CSCL Scripts [Conference presentation]. The International Society of the Learning Sciences (ISLS), Buffalo, USA.

Lobo-Quintero, R., Hernández-Leo, D., & Sánchez-Reina, J. R. (2024). Studying the Flow Experience in Collaborative Online Learning: A Study with PyramidApp [Manuscript submitted for publication].

Lobo-Quintero, R., Hernández-Leo, D., Taibi, D., Theophilou E., & Sánchez-Reina, J. R. (2024). Analyzing factors influencing student engagement in an educative social media platform [Manuscript submitted for publication].

Martinenghi, A., Donabauer, G., Amenta, S., Buršić, S., Giudici, M., Kruschwitz, U., Garzotto, F., & Ognibene, D. (in press). LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames' Multi-party Dialogues. Proceedings of Games and NLP 2024.

Sánchez-Reina, J. R., Theophilou, E., Hernández-Leo, D., & Lobo-Quintero, R. (2024, April 25–26). Abordando la influencia de las redes sociales en la Imagen Corporal. Una aproximación desde Instareal [Conference presentation]. Actas del III Congreso Internacional de Comunicación y Salud (CICyS), Madrid, Spain.

Sánchez-Reina, J. R., Theophilou, E., Hernández-Leo, D., & Ognibene, D. (in press). Exploring undergraduates’ attitudes towards ChatGPT. Is AI resistance constraining the acceptance of chatbot technology? Proceedings of 5th International Conference on Higher Education Learning Methodologies and Technologies Online. 

Schwarze, V., Börsting, J., & Eimler, S. C. (2024). Four Steps to the “Aha!” Moment – A Workshop to Sensitize Younger Adolescents to the Underlying Mechanisms of Stereotyping [Manuscript submitted for publication].

Schwarze, V., Börsting, J., & Eimler, S. C. (2024). Two Sides of a Medal? Exploring Adolescents’ Stereotypical Perception of Groups On and Off Social Media [Manuscript submitted for publication].

Schwarze, V., Börsting, J., Theophilou, E., Sánchez-Reina, J. R., Hernández-Leo, D., & Eimler, S. C. (2024). “This is cyberbullying!” An empirical study investigating the influence of an empathy training on adolescents’ ability to adopt perspectives [Manuscript submitted for publication].

Theophilou, E., Lobo-Quintero, R., Sánchez-Reina, J. R., Hernández-Leo, D., & Ognibene, D. (2024). Embedding educational narrative scripts in a social media environment [Manuscript submitted for publication].

Theophilou, E., Sánchez-Reina, J. R., Odakura, V., & Hernández-Leo, D. (2024). An Exploratory Study on Empathy and Online Discussions in Computer Supported Collaborative Learning [Manuscript submitted for publication].

2023

Aprin, F., Malzahn, N., Lomonaco, F., Donabauer, G., Ognibene, D., Kruschwitz, U., Hernández‐Leo, D., Fulantelli, G., & Hoppe, H. U. (2023). The “Courage Companion” – An AI-Supported Environment for Training Teenagers in Handling Social Media Critically and Responsibly. In G. Fulantelli, D. Burgos, G. Casalino, M. Cimitile, G. Lo Bosco, & D. Taibi (Eds.), Communications in Computer and Information Science: Vol. 1779. Higher Education Learning Methodologies and Technologies Online (pp. 395–406). Springer. https://doi.org/10.1007/978-3-031-29800-4_30 

Aprin, F., Peters, P., & Hoppe, H. U. (2023). The effectiveness of a virtual learning companion for supporting the critical judgment of social media content. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12275-6 

Börsting, J., Schwarze, V., & Eimler, S. C. (2023, September 6–8). Tell me why - Combating racism on social media with knowledge [Paper presentation]. 13th Conference of the Media Psychology Division (DGPs), Esch-sur-Alzette, Luxembourg.

Donabauer, G., & Kruschwitz, U. (2023). Exploring Fake News Detection with Heterogeneous Social Media Context Graphs. In J. Kamps, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Lecture Notes in Computer Science: Vol. 13981. Advances in Information Retrieval (pp. 396–405). Springer. https://doi.org/10.1007/978-3-031-28238-6_29

Eimler, S. C., Börsting, J., & Schwarze, V. (2023, September 6–8). Imagine it was you - Empathy as the key for reducing cyberbullying on social media [Paper presentation]. 13th Conference of the Media Psychology Division (DGPs), Esch-sur-Alzette, Luxembourg.

Kato, A., Shimomura, K., Ognibene, D., Parvaz, M. A., Berner, L. A., Morita, K., & Fiore, V. (2023). Computational models of behavioral addictions: State of the art and future directions. Addictive Behaviors, 140, 107595. https://doi.org/10.1016/j.addbeh.2022.107595

Koyutürk, C., Yavari, M., Theophilou, E., Buršić, S., Donabauer, G., Telari, A., Testa, A., Gabbiadini, A., Hernandez Leo, D., Ruskov, M., & Ognibene, D. (2023, December 4–8). Developing Effective Educational Chatbots with ChatGPT: Insights from Preliminary Tests in a Case Study on Social Media Literacy [Poster presentation]. 31st International Conference on Computers in Education (ICCE), Matsue, Shimane, Japan. https://arxiv.org/abs/2306.10645 

Lobo-Quintero, R., Sánchez-Reina, J. R., Theophilou, E., & Hernández-Leo, D. (2023). Intrinsic Motivation for Social Media Literacy, a Look into the Narrative Scripts. In G. Fulantelli, D. Burgos, G. Casalino, M. Cimitile, G. Lo Bosco, & D. Taibi (Eds.), Communications in Computer and Information Science: Vol. 1779. Higher Education Learning Methodologies and Technologies Online (pp. 419–432). Springer. https://doi.org/10.1007/978-3-031-29800-4_32 

Lomonaco, F., Taibi, D., Trianni, V., Buršić, S., Donabauer, G., & Ognibene, D. (2023). Yes, Echo-Chambers Mislead You Too: A Game-Based Educational Experience to Reveal the Impact of Social Media Personalization Algorithms. In G. Fulantelli, D. Burgos, G. Casalino, M. Cimitile, G. Lo Bosco, & D. Taibi (Eds.), Communications in Computer and Information Science: Vol. 1779. Higher Education Learning Methodologies and Technologies Online (pp. 330–344). Springer. https://doi.org/10.1007/978-3-031-29800-4_26 

Malzahn, N., Schwarze, V., Eimler, S. C., Aprin, F., Moder, S., & Hoppe, H. U. (2023). How to measure disagreement as a premise for learning from controversy in a social media context. Research and Practice in Technology Enhanced Learning, 18, 012. https://doi.org/10.58459/rptel.2023.18012 

Ognibene, D., Donabauer, G., Theophilou, E., Buršić, S., Lomonaco, F., Wilkens, R., Hernández-Leo, D., & Kruschwitz, U. (2023). Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context. Datenbank Spektrum, 23(1), 27–39. https://doi.org/10.1007/s13222-023-00436-3 

Ognibene, D., Wilkens, R., Taibi, D., Hernández-Leo, D., Kruschwitz, U., Donabauer, G., Theophilou, E., Lomonaco, F., Buršić, S., Lobo-Quintero, R. A., Sánchez-Reina, J. R., Scifo, L., Schwarze, V., Börsting, J., Hoppe, U. H., Aprin, F., Malzahn, N., & Eimler, S. C. (2023). Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.654930 

Sánchez-Reina, J. R., Theophilou, E., Ognibene, D., & Hernández-Leo, D. (2023, September 13–15). “Shall we rely on bots?” Students’ adherence to the integration of ChatGPT in the classroom” [Conference presentation]. 5th International Conference on Higher Education Learning Methodologies and Technologies Online (HELMeTO), Foggia, Italy.

Schwarze, V., Eimler, S. C., & Krämer, N. C. (2023, September 6–8). Picturing diversity: Exploring children’s perception of intergroup differences [Paper presentation]. 13th Conference of the Media Psychology Division (DGPs), Esch-sur-Alzette, Luxembourg.

Taibi, D., Börsting, J., Hoppe, H. U., Ognibene, D., Hernández‐Leo, D., Eimler, S. C., & Kruschwitz, U. (2023). The Role of Educational Interventions in Facing Social Media Threats: Overarching Principles of the COURAGE Project. In G. Fulantelli, D. Burgos, G. Casalino, M. Cimitile, G. Lo Bosco, & D. Taibi (Eds.), Communications in Computer and Information Science: Vol. 1779. Higher Education Learning Methodologies and Technologies Online (pp. 315–329). Springer. https://doi.org/10.1007/978-3-031-29800-4_25 

Taibi, D., Scifo, L., Bruno, N., & Fulantelli, G. (2023). Social Media Literacy to Support a Conscious Use of Social Media in Adolescents and Improve Their Psychological Well-Being: A Pilot Study. Sustainability, 15(17), 12726. https://doi.org/10.3390/su151712726

Taniguchi, T., Murata, S., Suzuki, M., Ognibene, D., Lanillos, P., Ugur, E., ... & Pezzulo, G. (2023). World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Advanced Robotics, 37(13), 780-806.

Theophilou, E., Hernández-Leo, D., & Gómez, V. (2023). Gender-based learning and behavioural differences in an educational social media platform. Journal of Computer Assisted Learning, 1–14. https://doi.org/10.1111/jcal.12927

Theophilou E., Koyutürk C., Yavari M., Buršić S., Donabauer G., Telari A., Testa A., Boiano R., Hernandez-Leo D., Ruskov M., Taibi D., Gabbiadini A., & Ognibene D. (2023). Learning to Prompt in the Classroom to Understand AI Limits: A pilot study. In R. Basili, D. Lembo, C. Limongelli, & A. Orlandini (Eds.), Lecture Notes in Computer Science: Vol. 14318. AIxIA 2023 – Advances in Artificial Intelligence (pp. 481–496). Springer. https://doi.org/10.1007/978-3-031-47546-7_33 

Theophilou, E., Lobo-Quintero, R., Sánchez-Reina, J. R., & Hernández-Leo, D. (2023). Students’ Generated Text Quality in a Narrative-Centered Learning Environment: Effects of Pre-Collaboration, Individual, and Chat-Interface Submissions. In H. Takada, D. M. Marutschke, C. Alvarez, T. Inoue, Y. Hayashi, & D. Hernández-Leo (Eds.), Lecture Notes in Computer Science: Vol. 14199. Collaboration Technologies and Social Computing (pp. 101–114). Springer. https://doi.org/10.1007/978-3-031-42141-9_7 

Theophilou, E., Lomonaco, F., Donabauer, G., Ognibene, D., Sánchez-Reina, J. R., Hernández-Leo, D. (2023). AI and Narrative Scripts to Educate Adolescents About Social Media Algorithms: Insights About AI Overdependence, Trust and Awareness. In O. Viberg, I. Jivet, P. Muñoz-Merino, M. Perifanou, & T. Papathoma (Eds.), Lecture Notes in Computer Science: Vol. 14200. Responsive and Sustainable Educational Futures (pp. 415–429). Springer. https://doi.org/10.1007/978-3-031-42682-7_28 

Theophilou, E., Sánchez-Reina, J. R., Hernández-Leo, D., Odakura, V., Amarasinghe, I., & Lobo-Quintero, R. (2023). The effect of a group awareness tool in synchronous online discussions: studying participation, quality and balance. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2023.2200543 

Theophilou, E., Schwarze, V., Börsting, J., Sánchez-Reina, R., Scifo, L., Lomonaco, F., Aprin, F., Ognibene, D., Taibi, D., Hernández-Leo, D., & Eimler, S. C. (2023). Empirically Investigating Virtual Learning Companions to Enhance Social Media Literacy. In G. Fulantelli, D. Burgos, G. Casalino, M. Cimitile, G. Lo Bosco, & D. Taibi (Eds.), Communications in Computer and Information Science: Vol. 1779. Higher Education Learning Methodologies and Technologies Online (pp. 345–360). Springer. https://doi.org/10.1007/978-3-031-29800-4_27 

Tran, H. N., &  Kruschwitz, U. (2023). Towards Reducing Misinformation and Toxic Content Using Cross-Lingual Text Summarization. Proceedings of ROMCIR 2023, 1–16. https://ceur-ws.org/Vol-3406/paper1_jot.pdf

2022

Amarasinghe, I., Michos, K., Crespi, F., & Hernández‐Leo, D. (2022). Learning analytics support to teachers' design and orchestrating tasks. Journal of Computer Assisted Learning, 1–16. https://doi.org/10.1111/jcal.12711 

Aprin, F., Chounta, I. A., & Hoppe, H. U. (2022). “See the Image in Different Contexts”: Using Reverse Image Search to Support the Identification of Fake News in Instagram-Like Social Media. In S. Crossley, & E. Popescu (Eds.), Lecture Notes in Computer Science: Vol. 13284. Intelligent Tutoring Systems (pp. 264–275). Springer. https://doi.org/10.1007/978-3-031-09680-8_25 

Fulantelli, G., Taibi, D., Scifo, L., Schwarze, V., & Eimler, S. C. (2022). Cyberbullying and Cyberhate as Two Interlinked Instances of Cyber-Aggression in Adolescence: A Systematic Review. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.909299 

Hartl, P., & Kruschwitz, U. (2022). Applying Automatic Text Summarization for Fake News Detection. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Marseille, France, 2702–2713. https://doi.org/10.48550/arXiv.2204.01841 

Lobo-Quintero, R., Theophilou, E., Sánchez-Reina, J. R., & Hernández-Leo, D. (2022). Evaluating an Adaptive Intervention in Collaboration Scripts Deconstructing Body Image Narratives in a Social Media Educational Platform. In L. H. Wong, Y. Hayashi, C. A. Collazos, C. Alvarez, C., G. Zurita, & N. Baloian (Eds.), Lecture Notes in Computer Science: Vol. 13632. Collaboration Technologies and Social Computing. Springer. https://doi.org/10.1007/978-3-031-20218-6_14 

Lomonaco, F., Donabauer, G., & Siino, M. (2022). COURAGE at CheckThat! 2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, 573–583. https://ceur-ws.org/Vol-3180/paper-45.pdf 

Odakura, V., Amarasinghe, I., Hernández‐Leo, D., Sánchez-Reina, J. R., Theophilou, E., & Lobo-Quintero, R. (2022). Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with Open-Ended Task. In L. H. Wong, Y. Hayashi, C. A. Collazos, C. Alvarez, C., G. Zurita, & N. Baloian (Eds.), Lecture notes in computer science: Vol. 13632. Collaboration Technologies and Social Computing (pp. 23–37). https://doi.org/10.1007/978-3-031-20218-6_2 

Rodríguez-Rementería, A., Sánchez-Reina, J. R., Theophilou, E., & Hernández-Leo, D. (2022, November 16–18). Actitudes sobre la edición de imágenes en redes sociales y su etiquetado: un posible preventivo [Conference presentation]. EDUTEC 2022 International Congress, Palma, Spain.

Sánchez-Reina, J. R.  (2022, September 6–8). Investigando con menores. Retos y oportunidades para el trabajo de campo [Conference presentation]. 33 Encuentro Nacional AMIC, Puebla, México.

Sánchez-Reina, J. R., & González-Lara, E. (2022). The COVID-19 infodemic among young people and adults: The support of critical media literacy. Comunicar, 73, 71–81. https://doi.org/10.3916/C73-2022-06    

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

Sánchez-Reina, J. R., Hernández-Leo, D., Theophilou, E., & Lobo-Quintero, R. (2022, October, 26–29). Uso de redes sociales en adolescentes catalanes. Hábitos y Competencias Mediáticas [Conference presentation]. XVII Congresso Ibero-Americano de Comunicação (IBERCOM 2022), Porto, Portugal.

Theophilou, E., Schwarze, V., Börsting, J., Sánchez-Reina, R., Scifo, L., Lomonaco, F., Taibi, D., & Eimler, S. C. (2022, September, 21–23). Enhancing Social Media Literacy Skills in Students: Empirically Investigating Virtual Learning Companions [Conference presentation]. 4th International Conference on Higher Education Learning Methodologies and Technologies Online, Palermo, Italy.

Tran, H.-N., & Kruschwitz, U. (2022). ur-iw-hnt at CheckThat!!-2022: Cross-lingual Text Summarization for Fake News Detection. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, 740–748.

Turban, C., & Kruschwitz, U. (2022). Tackling Irony Detection using Ensemble Classifiers and Data Augmentation. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 6976–6984.

2021

Akomeah, K. O., Kruschwitz, U., & Ludwig, B. (2021). UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification  of Toxic, Engaging and Fact-Claiming Comments. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, 95–99. https://aclanthology.org/2021.germeval-1.14.pdf 

Akomeah, K. O., Kruschwitz, U., & Ludwig, B. (2021). UR@PAN: Profiling Hate Speech Spreaders on Twitter. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 2083–2089. https://ceur-ws.org/Vol-2936/paper-184.pdf 

Alvarez-Gonzalez, N., Kaltenbrunner, A., & Gómez, V. (2021). Emotion-Core: An Open Source framework for emotion detection research. Software Impacts, 10, https://doi.org/10.1016/j.simpa.2021.100179

Alvarez-Gonzalez, N., Kaltenbrunner, A., & Gómez, V. (2021). Uncovering the Limits of Text-based Emotion Detection. In M. F. Moens, X. Huang, L. Specia, S. Wen-tau Yih (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 2560–2583). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.findings-emnlp.219 

Amarasinghe, I., Hernández-Leo, D., Theophilou, E., Sánchez-Reina, J. R., & Quintero, R. A. (2021). Learning Gains in Pyramid Computer-Supported Collaboration Scripts: Factors and Implications for Design. In D. Hernández-Leo, R. Hishiyama, G. Zurita, B. Weyers, A. Nolte, & H. Ogata (Eds.), Lecture Notes in Computer Science: Vol. 12856. Collaboration Technologies and Social Computing (pp. 35–50). Springer. https://doi.org/10.1007/978-3-030-85071-5_3 

Aprin, F., Manske, S., Chounta, I. A., & Hoppe, H. U. (2021). Is This Fake or Credible? A Virtual Learning Companion Supporting the Judgment of Young Learners Facing Social Media Content. In W. Zhou, & Y. Mu (Eds.), Lecture Notes in Computer Science: Vol. 13103.  Advances in Web-Based Learning – ICWL 2021 (pp. 52–60). Springer. https://doi.org/10.1007/978-3-030-90785-3_5 

Donabauer, G., & Kruschwitz, U. (2021). University of Regensburg @SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text. Proceedings of the Swiss Text Analytics Conference 2021. https://ceur-ws.org/Vol-2957/sepp_paper5.pdf 

Donabauer, G., Kruschwitz, U., & Corney, D. (2021). Making Sense of Subtitles: Sentence Boundary Detection and Speaker Change Detection in Unpunctuated Texts. Companion Proceedings of the Web Conference 2021, 357–362. https://doi.org/10.1145/3442442.3451894

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, 1, 517–524. https://doi.org/10.5220/0010513005170524 

Hartl, P., & Kruschwitz, U., (2021). University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 508–519. https://ceur-ws.org/Vol-2936/paper-40.pdf 

Hernández-Leo, D., Theophilou, E., Lobo, R., Sánchez-Reina, J. R., & Ognibene, D. (2021). Narrative Scripts Embedded in Social Media Towards Empowering Digital and Self-protection Skills. In T. De Laet, R. Klemke, C. Alario-Hoyos, I. Hilliger, & A. Ortega-Arranz (Eds.), Lecture Notes in Computer Science: Vol. 12884. Technology-Enhanced Learning for a Free, Safe, and Sustainable World (pp. 394–398). Springer. https://doi.org/10.1007/978-3-030-86436-1_42 

Hilbig, L., Schwarze, V., Escher, B., Scharnetzki, J., Arlinghaus, C., & Eimler, S. C. (2021, September 8–10). Pride and Prejudice: A Stereotype-Content-Model Study on Young People's Perception of Social Media Subgroups [Poster presentation]. 12th Conference of the Media Psychology Division (DGPs), Aachen, Germany.

Hoffmann, J., & Kruschwitz, U. (2021). UR NLP @ HaSpeeDe 2 at EVALITA 2020: Towards Robust Hate Speech Detection with Contextual Embeddings. Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. https://ceur-ws.org/Vol-2765/paper105.pdf

Lo Bosco, G., Pilato, G., & Schicchi, D. (2021). DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages. Array, 12, 100097. https://doi.org/10.1016/j.array.2021.100097 

Malzahn, N., Aprin, F., Hoppe, H. U., Eimler, S. C., & Moder, S. (2021). Measures of disagreement in learning groups as a basis for identifying and discussing controversial judgements. In Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning-CSCL 2021. International Society of the Learning Sciences. https://repository.isls.org/bitstream/1/7325/1/233-236.pdf 

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 B. Castillo-Abdul, & V. García-Prieto (Eds.), Prosumidores emergentes: redes sociales, alfabetización y creación de contenidos (pp. 429–450). Editorial Dykinson S.L.

Schicchi, D., Marino, B., & Taibi, D. (2021). Exploring learning analytics on YouTube: a tool to support students’ interactions analysis. Proceedings of the 22nd International Conference on Computer Systems and Technologies (CompSysTech '21), New York, USA, 207–211. https://doi.org/10.1145/3472410.3472442 

Schwarze, V., Hilbig, L., Grewe, A., Siepmann, M, Lobermeier, T., & Eimler, S. C. (2021, September 8–10). Right Where we Belong - Investigating Young People's Perceptions of Social Groups in Social Media vs. Society at Large [Poster presentation]. 12th Conference of the Media Psychology Division (DGPs), Aachen, Germany.

Taibi, D., Fulantelli, G., Monteleone, V., Schicchi, D., & Scifo, L. (2021). An Innovative Platform to Promote Social Media Literacy in School Contexts. Proceedings of the 20th European Conference on e-Learning ECEL 2021, 460–470. 

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 A. Hernández-García, D. Hernández-Leo, M. Caeiro-Rodríguez, & T. Sancho-Vinuesa (Eds.), Learning Analytics Summer Institute Spain 2021 (pp. 73–80). https://ceur-ws.org/Vol-3029/paper07.pdf 

Tran, H. N., & Kruschwitz, U. (2021). ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, 83–87. https://arxiv.org/abs/2110.02042  

Wilkens, R. S., & Ognibene, D. (2021). biCourage: ngram and syntax GCNs for Hate Speech detection. Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, 357–366. https://ceur-ws.org/Vol-3159/T1-35.pdf 

Wilkens, R. S., & Ognibene, D. (2021). MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021), 420–430. https://ceur-ws.org/Vol-2943/exist_paper9.pdf 

2020

Martínez-Moreno, J., Hernández-Leo, D., & Santos, P. (2020, June 21–24). Artificial intelligence and social media threats: Increasing teenagers’ reflective thinking through digital literacy [Workshop participation]. IDC '20: Interaction Design and Children, London, United Kingdom.

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, 1, 567-573. 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: Vol. 124 (pp. 171–180). PMLR.

2019

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 

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