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Assembly of polarity, emotion and user statistics for detection of fake profiles Notebook for PAN at CLEF 2020

dc.contributor.authorMoreno-Sandoval, Luis Gabriel
dc.contributor.authorPuertas, Edwin
dc.contributor.authorPomares-Quimbaya, Alexandra
dc.contributor.authorAlvarado-Valencia, Jorge Andres
dc.date.accessioned2023-07-21T15:47:38Z
dc.date.available2023-07-21T15:47:38Z
dc.date.issued2020
dc.date.submitted2023
dc.identifier.citationMoreno-Sandoval, L. G., Puertas, E., Pomares-Quimbaya, A., & Alvarado-Valencia, J. A. (s/f). Notebook for PAN at CLEF 2020. Webis.de. Recuperado el 14 de julio de 2023, de https://pan.webis.de/downloads/publications/papers/morenosandoval_2020.pdfspa
dc.identifier.urihttps://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85121794424&origin=resultslist&sort=plf-f&src=s&sid=5b5924365d87681725a9d6c17daad1d5&sot=b&sdt=b&s=TITLE-ABS-KEY%28Assembly+of+polarity%2C+emotion+and+user+statistics+for+detection+of+fake+profiles+Notebook+for+PAN+at+CLEF+2020%29&sl=125&sessionSearchId=5b5924365d87681725a9d6c17daad1d5
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12286
dc.description.abstractThe explosive growth of fake news on social networks has aroused great interest from researchers in different disciplines. To achieve efficient and effective detection of fake news requires scientific contributions from various disciplines, such as computational linguistics, artificial intelligence, and sociology. Here we illustrate how polarity, emotion, and user statistics can be used to detect fake profiles on Twitter’s social network. This paper presents a novel strategy for the characterization of the Twitter profile based on the generation of an assembly of polarity, emotion, and user statistics characteristics that serve as input to a set of classifiers. The results are part of our participation in the PAN 2020 in the CLEF in the task of Profiling Fake News Spreaders on Twitter. Copyright © 2020 for this paper by its authors.spa
dc.format.extent8 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceCEUR Workshop Proceedingsspa
dc.titleAssembly of polarity, emotion and user statistics for detection of fake profiles Notebook for PAN at CLEF 2020spa
dcterms.bibliographicCitationAhmed, H., Traore, I., Saad, S. Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10618 LNCS, pp. 127-138. Cited 297 times. http://springerlink.com/content/0302-9743/copyright/2005/ ISBN: 978-331969154-1 doi: 10.1007/978-3-319-69155-8_9spa
dcterms.bibliographicCitationAhmed, H., Traore, I., Saad, S. Detecting opinion spams and fake news using text classification (2018) Security and Privacy, 1 (1), p. e9. Cited 205 times.spa
dcterms.bibliographicCitationBondielli, A., Marcelloni, F. A survey on fake news and rumour detection techniques (2019) Information Sciences, 497, pp. 38-55. Cited 281 times. http://www.journals.elsevier.com/information-sciences/ doi: 10.1016/j.ins.2019.05.035spa
dcterms.bibliographicCitationCui, L., Wang, S., Lee, D. Same: Sentiment-aware multi-modal embedding for detecting fake news (2019) Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, pp. 41-48. Cited 63 times. http://dl.acm.org/citation.cfm?id=3341161 ISBN: 978-145036868-1 doi: 10.1145/3341161.3342894spa
dcterms.bibliographicCitationGhanem, B., Rosso, P., Rangel, F. An Emotional Analysis of False Information in Social Media and News Articles (2020) ACM Transactions on Internet Technology, 20 (2), art. no. 3381750. Cited 111 times. http://dl.acm.org/citation.cfm?id=J780 doi: 10.1145/3381750spa
dcterms.bibliographicCitationGiachanou, A., Ríssola, E.A., Ghanem, B., Crestani, F., Rosso, P. The role of personality and linguistic patterns in discriminating between fake news spreaders and fact checkers (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12089 LNCS, pp. 181-192. Cited 37 times. https://www.springer.com/series/558 ISBN: 978-303051309-2 doi: 10.1007/978-3-030-51310-8_17spa
dcterms.bibliographicCitationImran, M., Castillo, C., Diaz, F., Vieweg, S. Processing Social Media Messages in Mass Emergency: Survey Summary (2018) The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018, pp. 507-511. Cited 65 times. http://dl.acm.org/citation.cfm?id=3184558 ISBN: 978-145035640-4 doi: 10.1145/3184558.3186242spa
dcterms.bibliographicCitationJwa, H., Oh, D., Park, K., Kang, J.M., Lim, H. exBAKE: Automatic fake news detection model based on Bidirectional Encoder Representations from Transformers (BERT) (2019) Applied Sciences (Switzerland), 9 (19), art. no. 4062. Cited 111 times. https://res.mdpi.com/d_attachment/applsci/applsci-09-04062/article_deploy/applsci-09-04062-v4.pdf doi: 10.3390/app9194062spa
dcterms.bibliographicCitationKochkina, E., Liakata, M., Augenstein, I. (2017) Turing at semeval-2017 task 8: Sequential approach to rumour stance classification with branch-lstm. Cited 39 times. arXiv preprint arXiv:1704.07221spa
dcterms.bibliographicCitationLazer, D.M.J., Baum, M.A., Benkler, Y., Berinsky, A.J., Greenhill, K.M., Menczer, F., Metzger, M.J., (...), Zittrain, J.L. The science of fake news: Addressing fake news requires a multidisciplinary effort (2018) Science, 359 (6380), pp. 1094-1096. Cited 1877 times. http://science.sciencemag.org/content/359/6380/1094/tab-pdf doi: 10.1126/science.aao2998spa
dcterms.bibliographicCitationLong, Y. Fake news detection through multi-perspective speaker profiles (2017) Association for Computational Linguistics. Cited 8 times.spa
dcterms.bibliographicCitationMohammad, S.M., Turney, P.D. Crowdsourcing a word-emotion association lexicon (Open Access) (2013) Computational Intelligence, 29 (3), pp. 436-465. Cited 1418 times. doi: 10.1111/j.1467-8640.2012.00460.xspa
dcterms.bibliographicCitationMoreno-Sandoval, L.G., Beltrán-Herrera, P., Vargas-Cruz, J.A., Sánchez-Barriga, C., Pomares-Quimbaya, A., Alvarado-Valencia, J.A., García-Díaz, J.C. CSL: A Combined Spanish lexicon: Resource for polarity classification and sentiment analysis (Open Access) (2017) ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems, 1, pp. 288-295. Cited 10 times. http://www.scitepress.org/DigitalLibrary/HomePage.aspx ISBN: 978-989758247-9 doi: 10.5220/0006336402880295spa
dcterms.bibliographicCitationPotthast, M., Gollub, T., Wiegmann, M., Stein, B. TIRA Integrated Research Architecture (2019) Information Retrieval Evaluation in a Changing World. Cited 250 times. Ferro, N., Peters, C. (eds) Springer (Sep)spa
dcterms.bibliographicCitationRangel, F., Franco-Salvador, M., Rosso, P. A Low Dimensionality Representation for Language Variety Identification (2016) International Conference on Intelligent Text Processing and Computational Linguistics, pp. 156-169. Cited 46 times. Springerspa
dcterms.bibliographicCitationRangel, F., Giachanou, A., Ghanem, B., Rosso, P. Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter (Open Access) (2020) CEUR Workshop Proceedings, 2696. Cited 82 times. http://ceur-ws.org/spa
dcterms.bibliographicCitationRuchansky, N., Seo, S., Liu, Y. CSI: A hybrid deep model for fake news detection (2017) International Conference on Information and Knowledge Management, Proceedings, Part F131841, pp. 797-806. Cited 599 times. ISBN: 978-145034918-5 doi: 10.1145/3132847.3132877spa
dcterms.bibliographicCitationSharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., Liu, Y. Combating fake news: A survey on identification and mitigation techniques (Open Access) (2019) ACM Transactions on Intelligent Systems and Technology, 10 (3), art. no. a21. Cited 234 times. http://dl.acm.org/citation.cfm?id=J1318 doi: 10.1145/3305260spa
dcterms.bibliographicCitationShu, K., Wang, S., Liu, H. Understanding User Profiles on Social Media for Fake News Detection (Open Access) (2018) Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018, pp. 430-435. Cited 202 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8370891 ISBN: 978-153861857-8 doi: 10.1109/MIPR.2018.00092spa
dcterms.bibliographicCitationShu, K., Sliva, A., Wang, S., Tang, J., Liu, H. Fake news detection on social media: A data mining perspective (2017) ACM SIGKDD explorations newsletter, 19 (1), pp. 22-36. Cited 1506 times.spa
dcterms.bibliographicCitationWynne, H.E., Wint, Z.Z. Content based fake news detection using n-gram models (2019) Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, pp. 669-673. Cited 21 times.spa
dcterms.bibliographicCitationZhou, X., Zafarani, R. Fake news detection: An interdisciplinary research (2019) The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019, p. 1292. Cited 14 times. http://dl.acm.org/citation.cfm?id=3308560 ISBN: 978-145036675-5 doi: 10.1145/3308560.3316476spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.subject.keywordsRumor;spa
dc.subject.keywordsSocial Media;spa
dc.subject.keywordsDisinformationspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.