@inproceedings{huertas-garcia_civic-upm_2021,

title = {CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification},

author = {Álvaro Huertas-García and Javier Huertas-Tato and Alejandro Martín and David Camacho},

url = {http://ceur-ws.org/Vol-2936/paper-41.pdf},

year  = {2021},

date = {2021-05-24},

urldate = {2021-05-24},

booktitle = {Conference and Labs of the Evaluation Forum (CLEF) Working Notes},

pages = {520--530},

abstract = {Online Social Networks (OSNs) growth enables and amplifies the quick spread of harmful, manipulative and false information that influence public opinion while sow conflict on social or political issues. Therefore, the development of tools to detect malicious actors and to identify low-credibility information and misinformation sources is a new crucial challenge in the ever-evolving field of Artificial Intelligence. The scope of this paper is to present a Natural Language Processing (NLP) approach that uses Doc2Vec and different state-of-the-art transformer-based models for the CLEF2021 Checkthat! lab Task 3. Through this approach, the results show that it is possible to achieve 41.43% macro-average F1-score in the misinformation detection (Task A) and 67.65% macro-average F1-score in the topic classification (Task B).},

keywords = {Computational Intelligence, Deep Learning, Disinformation, Information Distortion, Machine Learning, Natural Language Processing, Social Networks, Text Analysis, Transformers},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{BelloCajiasCamacho2011,

title = {Study on the Impact of Crowd-Based Voting Schemes in the ’Eurovision’ European Contest},

author = {Gema Bello-Orgaz and Raul Cajias and David Camacho},

url = {http://dl.acm.org/citation.cfm?id=1988718 

https://aida.etsisi.upm.es/wp-content/uploads/2012/09/WIMS2011AStudyOnImpact.pdf},

year  = {2011},

date = {2011-01-04},

urldate = {2011-01-04},

booktitle = {1st International Conference on Web Intelligence, Mining 

and Semantics (WIMS’11)},

publisher = {ACM Press},

keywords = {Clustering, Data Mining, Graph Theory, Social Networks},

pubstate = {published},

tppubtype = {inproceedings}

}