Francielle Vargas
PhD in Computer Science - Natural Language Processing
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I am a computer and language scientist with a Ph.D. and M.Sc. in Natural Language Processing, both earned in Computer Science and Computational Mathematics from the University of São Paulo (USP). I also hold a BS in Information Systems and a BA in Linguistics. During my Ph.D., I was a visiting researcher at the University of Southern California (USC) in the USA and an invited researcher and speaker at the Leibniz Institute for the Social Sciences (GESIS) in Germany. I was honored to receive the prestigious Google Latin America Research Award (LARA). Additionally, I have actively contributed to ACL and AAAI conferences and workshops, serving as a program committee member and co-organizing ICWSM in 2021, 2022, and 2023, along with shared tasks on hate speech. Currently, I am one of the organizers of the Workshop on Online Abuse and Harms (WOAH @ ACL 2025) and the Explainable Deep Neural Networks for Responsible AI (DeepXplain @ IJCNN 2025). My research focuses on enhancing the interpretability of neural language models, including Large Language Models (LLMs), while ensuring their safety, factuality, and fairness.
Research Interests
- Responsible AI, Explainability and Interpretability, Bias Mitigation, Fairness
- Fact-Checking, Fake News and Media Bias Detection, Misinformation, Factuality
- Hate Speech and Offensive Language Detection, Abusive Content, Morality, Subjectivity
Research Projects
- 2024-Current: Building a Moral Foundation Theory Benchmark Dataset with Human-Annotated Rationales. USP & USC
- 2024-2024: Responsible and Explainable Fact-Checking through Fine-Grained Factual Reasoning. Google
- 2022-2024: Building a Benchmark Dataset for Hate Speech Detection in Hausa African Indigenous Language. Google
- 2020-2024: Towards Socially Responsible and Explainable Hate Speech Technologies. University of São Paulo
- 2022-2022: Expanding Evaluation Data for Multilingual Protest News Detection. Koç University
- 2020-2020: Detecting Antisemitism on Social Media. Indiana University Bloomington
Awards, Honors, and Grants
Recognitions, grants, and scholarships received:
- Google Latin America Research Award (LARA, 2024)
- Diversity and Inclusion Grant Award (EMNLP, 2024)
- Diversity and Inclusion Grant Award (NAACL, 2024)
- Doctoral Research Scholarship (SINCH, 2020)
- Master’s Research Scholarship (CAPES, 2015)
- Undergraduate Research Scholarship (CNPq, 2013)
- Outstanding Academic Achievement Award (UFMG, 2013)
- Outstanding Academic Achievement Award (UFMG, 2012)
Press Coverage
- USP News: Explainable Artificial Intelligence Systems in Combating Hate Speech and Fake News.
- Portal USP: A Researcher from University of São Paulo Proposes Explainable AI for Detecting Hate Speech and Fake News.
Publications
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HateBRXplain: A Benchmark Dataset with Human-Annotated Rationales for Explainable Hate Speech Detection in Brazilian Portuguese
Isadora Salles, Francielle Vargas, Fabrício Benevenuto
31st International Conference on Computational Linguistics (COLING 2025). Abu Dhabi, UAE. pp. 6659-6669. 2025. see
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Discourse Annotation Guideline for Low-Resource Languages
Francielle Vargas, Wolfgang Schmeisser-Nieto, Zohar Rabinovich, Thiago A.S. Pardo, Fabrício Benevenuto
Natural Language Engineering Journal. Cambridge University Press. pp. 1-44. 2024. to appear
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Context-Aware and Expert Data Resources for Brazilian Portuguese Hate Speech Detection
Francielle Vargas, Isabelle Carvalho, Thiago A.S. Pardo, Fabrício Benevenuto
Natural Language Engineering Journal. Cambridge University Press. pp. 1-22. 2024. see
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Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning
Francielle Vargas, Isadora Salles, Diego Alves, Ameeta Agrawal, Thiago Pardo, Fabrício Benevenuto
7th Fact Extraction and VERification Workshop (FEVER @ EMNLP 2024). Miami, United States. see
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HausaHate: An Expert Annotated Corpus for Hausa Hate Speech Detection
Francielle Vargas, Samuel Guimarães, Shamsuddeen H. Muhammad, Diego Alves, Ibrahim Said Ahmad, Idris Abdulmumin, Diallo Mohamed, Thiago Pardo, Fabrício Benevenuto
8th Workshop on Online Abuse and Harms (WOAH @ NAACL 2024). pp. 52–58. Mexico City, Mexico. see
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Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024
Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Hariram Veeramani, Raghav Jain, Sandesh Jain, Francielle Vargas, Ali Hürriyetoğlu, Usman Naseem
Workshop Proceedings of the 18th Annual Meeting of the European chapter of the Association for Computational Linguistics (CASE @ EACL 2024). pp. 221–228. St. Julians, Malta. see
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Predicting Sentence-Level Factuality of News and Bias of Media Outlets
Francielle Vargas, Kokil Jaidka, Thiago A.S. Pardo, Fabrício Benevenuto
Recent Advances in Natural Language Processing (RANLP 2023). pp. 1197–1206. Varna, Bulgaria. see
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Socially Responsible Hate Speech Detection: Can Classifiers Reflect Social Stereotypes?
Franciell Vargas, Isabelle Carvalho, Ali Hürriyetoğlu, Thiago A.S. Pardo, Fabrício Benevenuto
Recent Advances in Natural Language Processing (RANLP 2023). pp. 1187–1196. Varna, Bulgaria. see
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NoHateBrazil: A Brazilian Portuguese Text Offensiveness Analysis System
Franciell Vargas, Isabelle Carvalho, Wolfgang Schmeisser-Nieto, Fabrício Benevenuto, Thiago A.S. Pardo
Recent Advances in Natural Language Processing (RANLP 2023). pp.1180–1186. Varna, Bulgaria. see
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Multimodal Hate Speech Event Detection - Shared Task 4, CASE 2023
Surendrabikram Thapa, Farhan Jafr, Ali Hürriyetoğlu, Francielle Vargas, Roy Ka-Wei Le, Usman Naseem
Workshop Proceedings of the 14th Recent Advances in Natural Language Processing (CASE @ RANLP 2023) . pp.151-159. Varna, Bulgaria. see
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HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection
Franciell Vargas, Isabelle Carvalho, Fabiana R. Góes, Thiago A.S. Pardo, Fabrício Benevenuto
13th Conference on Language Resources and Evaluation (LREC 2022). pp. 7174–7183. Marseille, France. see
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Rhetorical Structure Approach for Online Deception Detection: A Survey
Francielle Vargas, Jonas D'Alessandro, Zohar Rabinovich, Fabrício Benevenuto, Thiago A.S. Pardo
13th Conference on Language Resources and Evaluation (LREC 2022). pp. 5906‑5915. Marseille, France. see
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Studying Dishonest Intentions in Texts
Francielle Vargas, Thiago A.S. Pardo
Deceptive AI. Springer: Communications in Computer and Information Science, vol 1296. pp. 166–178. see
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Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022
Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Aaqib Javid, Erdem Yörük
Workshop Proceedings of the 2022 Conference on Empirical Methods for Natural Language Processing (CASE @ EMNLP 2022). pp. 223–228. Abu Dhabi, Arab Emirates. see
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Contextual-Lexicon Approach for Abusive Language Detection
Francielle Vargas, Fabiana R. Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago A.S. Pardo
Recent Advances in Natural Language Processing (RANLP 2021). pp. 1442-1451. Held Online. see
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Toward Discourse-Aware Models for Multilingual Fake News Detection
Francielle Vargas, Fabrício Benevenuto, Thiago A.S. Pardo
Recent Advances in Natural Language Processing (RANLP 2021). pp. 210-218. Held Online. see
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Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization
Mateus T. Machado, Thiago A. S. Pardo, Evandro E. S. Ruiz, Ariani Di Felippo, Francielle Vargas
15th International Conference on the Computational Processing of Portuguese (PROPOR 2021). pp. 68-78. Fortaleza, Brazil. see
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Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM)
Jason R.C. Nurse, Francielle Vargas, Naeemul Hassan, Dakuo Wang, Panagiotis Andriotis, Amira Ghenai, Kokil Jaidka, Eni Mustafaraj, Kenneth Joseph and Brooke Foucault Welles
Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). pp. 01-12. Held Online. see
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Linguistic Rules for Fine-Grained Opinion Extraction
Francielle Vargas, Thiago A.S. Pardo
Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media (SocialSens @ ICWSM 2020). pp. 1-6. Held Online. see
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Identifying Fine-Grained Opinion and Classifying Polarity on Coronavirus Pandemic
Francielle Vargas, Rodolfo S. S. Dos Santos, Pedro R. Rocha
9th Brazilian Conference on Intelligent Systems (BRACIS 2020). pp. 511-520. Rio Grande, Brazil. see
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Aspect Clustering Methods for Sentiment Analysis
Francielle Vargas, Thiago A.S. Pardo
13th International Conference on the Computational Processing of Portuguese (PROPOR 2018). pp.365-374. Canela, Brazil. see
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The Coreference Annotation of the CSTNews Corpus
Thiago A. S. Pardo, Jorge Baptista, Magali S. Duran, Maria das Graças Nunes, Fernando Nóbrega, Sandra Aluísio, Ariani Di Felippo, Eloize Seno, Raphael R. Silva, Rafael Anchieta, Henrico Brum, Márcio Dias, Rafael Martins, Erick Maziero, Jackson Souza, Francielle Vargas
2nd Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval @ SEPLN 2017). pp. 102-112. Murcia, Spain. see
Resources
- B+M: Contextualized Bag-of-Words with Feature Saliency for Explainable Hate Speech Detection
- SSA: A Counterfactual Explanation Approach to Assess Social Bias in Hate Speech Classifiers
- SELFAR: Sentence-Level Factual Reasoning for Explanable Fact-Checking
- HateBR and HateBRXplain: A Benchmark Dataset for Brazilian Portuguese Hate Speech Detection with Human--Annotated Rationales
- FactNews: A Benchmark Dataset for Sentence-Level Factuality Prediction
- HausaHate: A Benchmark Dataset for Hausa Hate Speech Detection
- SentiAspect-PT: A Dataset of Consumer Reviews for Aspect-Based Sentiment Analysis
- OPCovidBR: A Dataset of Covid-19 Tweets for Aspect-Based Sentiment Analysis
- OPCluster-PT: A System for Extraction and Clustering of Opinions for Aspect-Based Sentiment Analysis
- NoHateBrazil: An Explainable System for Text Offensiveness Analysis in Brazilian Portuguese
- FACTual: A Trustworthy System for Fact-Checking and News Source Reliability Estimation
- PRO: A Set of Taxonomies for Aspect-Based Sentiment Analysis
- MOL: A Context-Aware Multilingual Offensive Lexicon
Teaching
- 2021: Neural Networks and Deep Learning . Teaching Assistant. University of São Paulo
- 2020: Computing Theory and Compilers. Teaching Assistant. University of São Paulo
- 2016: Computer Seminars I. Teaching Assistant. University of São Paulo
Service
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WOAH (ACL 2025) -
DeepXplain (IJCNN 2025) -
CASE (RANLP 2023) (EMNLP 2022)
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Dataset Co-Chair (ICWSM 2023)
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Accessibility Chair (ICWSM 2022)
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Diversity, Equity, & Inclusion Chair (ICWSM 2021)
Thesis
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Socially Responsible and Explainable Automated Fact-Checking and Hate Speech Detection
Francielle Vargas
Ph.D. Thesis in Computer Science and Computational Mathematics . University of São Paulo, 2024. 223 p. São Carlos, Brazil. see
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Semantic Clustering of Aspects for Opinion Mining
Francielle Vargas
MS.c. Thesis in Computer Science and Computational Mathematics . University of São Paulo, 2017. 126 p. São Carlos, Brazil. see
Talks
- 2024: Invited Researcher. Computational Social Science Lab. University of Southern California (USC). Los Angeles, United States
Talk: Fighting Misinformation and Radicalism: Socially Responsible and Explainable Fact-Checking and Hate Speech Detection. see - 2024: Keynote Speaker. Conference cum Conclave on Emerging trends in Journalistic and Media Practices. DG Vaishnav College (DDGDV). Chennai, India.
Talk: Predicting Sentence-Level News Source Reliability for Fact-Checking. see - 2023: Invited Speaker. Conference on Harmful Online Communication. Leibniz Institute for the Social Sciences (GESIS). Cologne, Germany.
Talk: Countering Harmful Online Communication in Brazil: Predicting Fine-Grained Factuality of News and Offensive Context of Social Media Comments. see