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1	Carlos Abel Córdova Sáenz(carlosab1802@gmail.com)
2	Karin Becker(karin.becker@inf.ufrgs.br)

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Reference

#	Reference
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2	ALDayel, A. and Magdy, W. (2021). Stance detection on social media: State of the art and trends. Information Processing Management, 58(4):102597.
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4	Clark, J. H., Garrette, D., Turc, I., and Wieting, J. (2021). Canine: Pre-training an efficient tokenization-free encoder for language representation. arXiv preprint arXiv:2103.06874.
5	Devlin, J., Chang, M., Lee, K., and Toutanova, K. (2019). BERT: pre-training of deep bidirectional transformers for language understanding. In Proc. of the 2019 Conf. of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (NAACL-HLT), pages 4171–4186.
6	Ebeling, R., Régis, C. C., Nobre, J. C., and Becker, K. (2022). Analysis of the influence of political polarization in the vaccination stance: the brazilian covid-19 scenario. In Proc. of the 15th Intl. Conference on Web and Social Media (ICWSM). To appear.
7	Ebeling, R., Sáenz, C. C., Nobre, J. C., and Becker, K. (2020). Quarenteners vs. cloroquiners: a framework to analyze the effect of political polarization on social distance stances. In Anais do VIII Symposium on Knowledge Discovery, Mining and Learning, pages 89–96. SBC.
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