2024
Korencic D., Chulvi B., Bonet X., Taulé M., Toselli A.H., Rosso P. What Distinguishes Conspiracy from Critical Narratives? A Computational Analysis of Oppositional Discourse. In: Expert Systems https://doi.org/10.1111/exsy.13671
Korencic D., Chulvi B., Bonet X., Taulé M., Rosso P., Rangel F. Overview of the Oppositional Thinking Analysis PAN Task at CLEF 2024. In: Faggioli G., Ferro N., Galušcáková, Garcia Seco de Herrera A. (eds.) CLEF 2024 Labs and Workshops, Notebook Papers, CEUR-WS.org, pp. 2462-2485
Ayele A., Babakov N., Bevendorff J., Bonet X,, Chulvi B., Dementieva D., Elnagar A., Freitag D., Fröbe M., Korencic D., Mayerl M., Moskovskiy D., Mukherjee A., Panchenko A., Potthast M., Rangel F., Rizwan N., Rosso P., Schneider F., Smirnova A., Stamatatos E., Stakovskii E., Stein B., Taulé M., Ustalov D., Wang X., Wiegmann M., Yimam S., Zangerle E. Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. In: Proc. 15th Int. Conf. of the CLEF Association, CLEF 2024, Grenoble, France, Springer-Verlag, LNCS(14959), pp. pp. 231-259
Bevendorff J., Bonet X., Chulvi B., Dementieva D., Elnagar A., Fröbe M., Korencic D., Mayerl M., Mukherjee A., Panchenko A., Potthast M., Rangel F., Rosso P., Smirnova A., Stamatatos E., Stein B., Taule M., Ustalov D., Wiegmann M., Zangerle E., Freitag D. Overview of PAN 2024: Multi-Author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification. In: Proc. 46th European Conf. on Information Retrieval, ECIR-2024, Springer-Verlag, LNCS(14613), pp. 3–10
Camacho D., Casanova-Mateo C., Huertas-Tato J., Liz-López H., Pérez-Aracil J., Sanz-Justo J., “Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information”. Knowledge-Based Systems. ISSN: 0950-7051, eISSN: 1872-7409. Volume 283, 111198.
Campo Sánchez-Hermosilla I., Panizo-Lledot A., Camacho D.A. Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts. In: Faggioli G., Ferro N., Galušcáková, Garcia Seco de Herrera A. (eds.) CLEF 2024 Labs and Workshops, Notebook Papers, CEUR-WS.org, pp. 2566-2571
Gómez-Romero J., González-Silot S., Montoro-Montarroso A., Molina-Solana M., Martínez Cámara E. Detection of Conspiracy-related Messages in Telegram with Anonymized Named Entities. In: Faggioli G., Ferro N., Galušcáková, Garcia Seco de Herrera A. (eds.) CLEF 2024 Labs and Workshops, Notebook Papers, CEUR-WS.org, pp. 2603-2612
Rosso, P., Chulvi, B. Korenčić, D., Taulé, M.; Bonet-Casals, X., Camacho, D, Panizo, A. , Arroyo, D. , Gómez, J. and Rangel, F. “XAI-DisInfodemics: eXplainable AI for disinformation and conspiracy detection during infodemics”. In: SEPLN-CEDI2024: Seminar of the Spanish Society for Natural Language Processing at the 7th Spanish Conference on Informatic, A Coruña, Spain, Workshop Proceedings, CEUR-WS.org, vol. 372
2023
Arroyo, D., Degli-Esposti, S., Gómez-Espés, A., Palmero-Muñoz, S., Pérez-Miguel, L., On the design of a misinformation widget (MsW) against cloaked science, in: Li, S., Manulis, M., Miyaji, A. (Eds.), Network and System Security, Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 385–396. doi:10.1007/978-3-031-39828-5_21.
Camacho D., Huertas-García Á., Huertas-Tato J., Martín A., “PART: Pre-trained Authorship Representation Transformer”, Human-centric Computing and Information Sciences. ISSN: N/A, eISSN: 2192- 1962. Pp. 1-26.
Camacho D., Huertas-García Á., Huertas-Tato J., Martín A., “Exploring Dimensionality Reduction Techniques in Multilingual Transformers”, Cognitive Computation. ISSN: 1866-9956, eISSN: 1866-9964. Volume 15, pp. 590–612.
Camacho D., Huertas-García Á., Huertas-Tato J., Martín A., “PART: Pre-trained Authorship Representation Transformer”, Human-centric Computing and Information Sciences. ISSN: N/A, eISSN: 2192- 1962. Pp. 1-26.
Camacho D., del Mar Grandio M., Martín A., Noguera Vivo J. M.,Villar G., ““Desinformación y vacunas en redes: Comportamiento de los bulos en Twitter”, Revista Latina de Comunicación Social (RCLS). ISSN: 1138-5820, eISSN: 1138-5820. Vol. 81(3).
Camacho D., Liz H., del Ser J., Huertas-Tato J., Panizo A., Sánchez Montañés M., “Deep learning for understanding multilabel imbalanced Chest X-ray datasets”, Future Generation Computer Systems-The International Journal of eScience. ISSN: 0167-739X, eISSN: 1872-7115. Volume 144, Issue C, pp 291–306.
Camacho D., Cambria E., D’Antonio‑Maceiras S., Hussain A., Torregrosa J., Villar‑Rodríguez G., “A Mixed Approach for Aggressive Political Discourse Analysis on Twitter”, Cognitive Computation. ISSN: 1866- 9956, eISSN: 1866-9964. Volume 15, pp. 440–465.
Camacho D., Montalvo-Garcia D., Nalepa G. J., Rodriguez-Fernandez V., Piccialli F., “DeepVATS: Deep Visual Analytics for Time Series”, Knowledge-Based Systems. ISSN: 0950-7051, eISSN: 1872-7409. Volume 277, 9, 110793, pp. 1-22.
Camacho D., Huertas-García Á.,Martín A. , Huertas-Tato J., “Countering malicious content moderation evasion in online social Simulation and detection of word camouflage”, Applied Soft Computing. ISSN: 1568-494, eISSN: 1872-9681. Volume 145, 110552.
Camacho D., Rodriguez-Fernandez V., Santamaria-Valenzuela I., " Exploring Multiple Classification Systems for Online Time Series Anomaly Detection". In Proceedings of 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Nitte Meenakshi Institute of Technology, Bengaluru · India.
Camacho. D., Huertas-García Á., Huertas-Tato J., Martín A., "Using authorship embeddings to understand writing style in social media". Proceedings of Conference and Labs of the Evaluation Forum Information Access Evaluation meets Multilinguality, Multimodality, and Visualization (CLEF 2023). Thessaloniki - Greece.
Camacho D., D’Antonio-Maceiras S., Panizo Lledot Á., Torregrosa J., "Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community ". In: Intelligent Data Engineering and Automated Learning–IDEAL 2023: 24th International Conference, I DEAL 2023, Évora, Portugal, Proceedings (pp. 1-6).
Huertas-Tato, J., Martín, A., & Camacho, D. "Check for updates Using Authorship Embeddings to Understand Writing Style in Social Media. In Experimental IR Meets Multilinguality, Multimodality, and Interaction": 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, Proceedings (Vol. 14163, p. 60). Springer Nature.
Liz-Lopez, H., Keita, M., Taleb-Ahmed, A., Hadid, A., Huertas-Tato, J., & Camacho, D., “Generation and detection of manipulated multimodal audiovisual advances, trends and open challenges”. Information Fusion. ISSN: 1566-2535, eISSN: 1872-6305. Volume 103, 102103, pp. 1–44.
Noguera Vivo, J. M., Grandío-Pérez, M. d. M., Villar-Rodríguez, G., Martín, A., Camacho, D., "Desinformación y vacunas en redes: Comportamiento de los bulos en Twitter," Revista Latina de Comunicación Social, 81, 44–62. doi:10.4185/RLCS-2023-1820.
Peskine Y., Korencic D., Grubišic I., Papotti P., Troncy R., Rosso P. Definitions Matter: Guiding GPT for Multi-label Classification. In: Findings of EMNLP-2023, Empirical Methods in Natural Language Processing, pp. 4054–4063.
Ruffo G., Semeraro A, Giachanou A., Rosso P. Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language. In: Computer Science Review, vol. 47.
Schlicht I., Fernandez E., Chulvi B., Rosso P. Automatic Detection of Health Misinformation: A Systematic Review. In: Journal of Ambient Intelligence & Humanized Computing (AIHC)
Schlicht I., Flek L. Rosso P. Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion. In: Proc. 45th European Conf. on Information Retrieval, ECIR-2023, Springer-Verlag, LNCS(13980)
Schlicht I., Fernandez E., Chulvi B., Rosso P. Automatic Detection of Health Misinformation: A Systematic Review. In: Journal of Ambient Intelligence & Humanized Computing (AIHC)
2022
Alarcón P. P., Camacho D., López-Fernández D., Menéndez-Ferreira R., Panizo-LLedot Á., Torregrosa J., “YoungRes: a serious game-based intervention to increase youngsters resilience against extremist ideologies”,IEEE Access. ISSN: 2169-3536, eISSN: 2169- 3536. pp 1-20.
Bello G., Camacho D., Panizo-LLedot Á., Pedemonte M. “Addressing evolutionary-based dynamic problems: a new methodology for evaluating Immigrants strategies in MOGAs”, IEEE Access. ISSN: 2169-3536, eISSN: 2169-3536. pp 1-20.
Camacho D., Huertas-Tato J., Martín A., “SILT: Efficient transformer training for inter-lingual inference”. Expert Systems with Applications. ISSN: 0957-4174, eISSN: 1873-6793. Vol. 200, 116923.
Camacho D., Martín A., “Recent advances on effective and efficient deep learning based solutions". Neural Computing & Applications. ISSN: 0941-0643, eISSN: 1433-3058. Vol., pages: 1-6.
Camacho D., Huertas-García Á., Huertas-Tato J., Martín A., Villar-Rodríguez G., “ FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference”, Knowledge-Based Systems. ISSN: 0950-7051, eISSN: 1872-7409. Volume 251, 109265, pp. 1-19.
Camacho D., Cambria E., D’Antonio-Maceiras S., Hussain A., Torregrosa J., Villar-Rodríguez G., “A mixed approach analysis of the aggressive political discourse in Twitter during Madrid's regional elections in 2021”, Cognitive Computation. ISSN: 1866-9956, eISSN: 1866-9964. Pp. 1-26.
Camacho D., Giron-Jimenez A., Panizo Lledot A., Torregrosa J., "Representational learning for the detection of COVID related conspiracy spreaders in online platforms". In: MediaEval 2022, Multimedia Benchmark Workshop.
Camacho D., Huertas-García Á., Huertas-Tato J., Liz López H., Martín A., Villar-Rodríguez G., "Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification". Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), Association for Computational Linguistics. pp. 1-23. Hybrid: Seattle, Washington.
Camacho D., del Ser J. , Laña I., Muhammad K., Nekane Bilbao M., "Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks". Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), IEEE World Congress on Computational Intelligence (WCCI 2022). Padova, Italy.
Camacho D., Huertas-García Á., Huertas-Tato J., Martín A., "Generating Authorship Embeddings with Transformers". Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), IEEE World Congress on Computational Intelligence (WCCI 2022). Padova, Italy.
De Paz, A., Suárez, M., Palmero, S., Degli-Esposti, S., Arroyo, D., Following negationists on Twitter and Telegram: Application of NCD to the analysis of multiplatform misinformation dynamics, in: Bravo, J., Ochoa, S., Favela, J. (Eds.), Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022), Lecture Notes in Networks and Systems, Springer International Publishing, pp. 1110–1116. doi:10.1007/978-3-031-21333-5_110
Del Ser, J., Bilbao, M. N., Laña, I., Muhammad, K., Camacho, D., "Efficient Fake News Detection Using Bagging Ensembles of Bidirectional Echo State Networks," in: 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1–7. ISSN: 2161-4407. doi:10.1109/IJCNN55064.2022.9892331.
Giachanou A., Ghanem B., Ríssola E., Rosso P., Crestani F., Oberski D. The Impact of Psycholinguistic Patterns in Discriminating between Fake News Spreaders and Fact Checkers. In: Data & Knowledge Engineering, Vol. 138, 101960
Korencic D., Grubišic I., De La Peña Sarracén G., Toselli A.H., Chulvi B., Rosso P. Tackling Covid-19 Conspiracies on Twitter using BERT Ensembles, GPT-3 Augmentation, and Graph NNs. In: Working Notes Proceedings of the MediaEval 2022 Workshop Bergen, Norway and Online, https://ceur-ws.org/Vol-3583/
Muñoz, S.P., Oliva, C., Lago-Fernández, L.F., Arroyo, D. Spezzano, F., Amaral, A., Ceolin, D., Fazio, L., Serra, E. Advancing the Use of Information Compression Distances in Authorship Attribution (eds) Disinformation in Open Online Media. MISDOOM 2022. Lecture Notes in Computer Science, vol 13545 . Springer, Cham.https://doi.org/10.1007/978-3-031-18253-2_8
Oliva, C., Palacio-Marín, I., Lago-Fernández, L. F., Arroyo, D., Rumor and clickbait detection by combining information divergence measures and deep learning techniques, in: Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES ’22, Association for Computing Machinery, pp. 1–6. doi:10.1145/3538969.3543791.
Oliva, C., Palmero-Muñoz, S., Lago-Fernández, L. F., Arroyo-Guardeño, D., Improving LSTMs' under-performance in authorship attribution for short texts, Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference. doi:http://hdl.handle.net/10261/268091.
Sakketou F., Plepi J., Cervero R., Giss H.J., Rosso P., Flek L. A New Dataset for Identifying Misinformation Spreaders and Political Bias. In: Proc. 13th Int. Conf. on Language Resources and Evaluation, LREC-2022, pp. 3231-3241