---
title: "Toxic dialogues — paper by Piorino et al. (2026)"
description: "The work builds on an earlier pilot study by the same group (Piorino et al., 2025). 37 references."
authors: ["Giovana Piorino", "Marco Antônio de Alcântara Machado", "Luiz Henrique Quevedo Lima", "Adriana Pagano", "Ana Paula Couto da Silva"]
year: 2026
venue: "Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1"
source: "https://aclanthology.org/2026.propor-1.57/"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
title_orig: "Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro"
title_lang: "pt"
canonical: "https://research.elamur.ai/free/en/papers/piorino-2026-dialogos-toxicos-gatilhos-e-padroes/"
---
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# Toxic dialogues: triggers and interaction patterns on Brazilian Reddit

*Original (Portuguese): Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro*

**Authors:** Giovana Piorino, Marco Antônio de Alcântara Machado, Luiz Henrique Quevedo Lima, [Adriana Pagano](https://md.research.elamur.ai/free/en/authors/adriana-pagano/) and Ana Paula Couto da Silva · **Year:** 2026 · **Venue:** [Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1](https://md.research.elamur.ai/free/en/venues/propor/) ([International Conference on Computational Processing of Portuguese 2026](https://md.research.elamur.ai/free/en/venues/propor/2026/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.propor-1.57/) · [PDF](https://aclanthology.org/2026.propor-1.57.pdf)

## Summary
The paper examines how toxicity arises and spreads in Brazilian Portuguese Reddit threads. It focuses on "triggers," which are non-toxic comments that draw toxic replies. The work builds on an earlier pilot study by the same group (Piorino et al., 2025). That study relied on a costly proprietary model and a small sample, so the authors now use an open model and many more discussion trees.

They fine-tuned BERTabaporu, a BERT model pretrained on Brazilian tweets, as a binary toxicity classifier. Training data combined human annotations with extra labels produced by majority vote among three LLMs. The classifier was then run over a 2022 corpus drawn from ten popular Brazilian subreddits. The authors analysed thread structure and language in trees with and without triggers.

Trees containing toxicity turn out deeper and attract more engagement. Their replies start out semantically cohesive, but coherence falls as the conversation goes on. Non-toxic threads lean toward social bonding. These patterns could support early, proactive moderation in a language that remains under-studied for this task.

## Key points
- **Released resources:**
  - a dataset of 883,953 Brazilian Reddit discussion trees;
  - the toxicity classifier, published on Hugging Face as `giovanaPcarvalho/bertabaporu-toxicity-reddit-ptbr`.
- **Source corpus:** data from Lima et al. (2024), collected via Pushshift. After filtering out bots, deleted items, laughter-only replies and similar noise, it holds 6,589,541 comments and about 390,000 posts from subreddits such as brasil, desabafos and futebol.
- **Human annotation:** 2,961 comments with majority-vote labels, based on Perspective API definitions. Of these, 85.21% are non-toxic and 14.79% toxic.
- **Synthetic labels:** Sabiá-2, Llama-2 and Mistral added 3,385 labelled comments, used for training only. The training set reached 5,753 comments (885 toxic), and the test set contains human labels exclusively.
- **Base model:** BERTabaporu, pretrained on roughly 238M tweets, was fine-tuned with Hugging Face Transformers. Learning rate and batch size were chosen by grid search.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

📚 Shelves (2): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 18,614 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 17,965 works

🧭 Topics (2): [🗨️ Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · 654 works · [🛡️ Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · 587 works

## Cite

Cite as: Giovana Piorino, Marco Antônio de Alcântara Machado, Luiz Henrique Quevedo Lima, Adriana Pagano and Ana Paula Couto da Silva. 2026. Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro. Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{piorino2026dialogos,
  title = {{Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro}},
  author = {Giovana Piorino, Marco Antônio {de Alcântara Machado}, Luiz Henrique Quevedo Lima, Adriana Pagano and Ana Paula Couto {da Silva}},
  booktitle = {Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1},
  year = {2026},
  url = {https://aclanthology.org/2026.propor-1.57/}
}
```

- [← previous Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/)
- [next → Toxic Subword Pruning for Dialogue Response Generation on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)
- [↑ back to papers of 2026](https://md.research.elamur.ai/free/en/papers/2026/page/54/)

## References

37 references, 7 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Thales Sales Almeida, Hugo Abonizio, Rodrigo Nogueira, e Ramon Pires. 2024. Sabiá-2: A new generation of portuguese large language models. Preprint, arXiv:2403.09887. — [arXiv:2403.09887](https://arxiv.org/abs/2403.09887) [find](https://scholar.google.com/scholar?q=Thales+Sales+Almeida%2C+Hugo+Abonizio%2C+Rodrigo+Nogueira%2C+e+Ramon+Pires%2E+2024%2E+Sabi%C3%A1%2D2%3A+A+new+generation+of+portuguese+large+language+models%2E+Preprint%2C+arXiv%3A2403%2E09887%2E+%E2%80%94+%5BarXiv%3A2403%2E09887%5D%28https%3A%2F%2Farxi)
2. Hind Almerekhi, Haewoon Kwak, e Bernard J Jansen. 2022a. Investigating toxicity changes of cross-community redditors from 2 billion posts and comments. PeerJ Computer Science, 8:e1059. [find](https://scholar.google.com/scholar?q=Hind+Almerekhi%2C+Haewoon+Kwak%2C+e+Bernard+J+Jansen%2E+2022a%2E+Investigating+toxicity+changes+of+cross%2Dcommunity+redditors+from+2+billion+posts+and+comments%2E+PeerJ+Computer+Science%2C+8%3Ae1059%2E)
3. Hind Almerekhi, Haewoon Kwak, Joni Salminen, e Bernard J. Jansen. 2020. Are these comments triggering? predicting triggers of toxicity in online discussions. Em Proceedings of The Web Conference 2020, WWW ’20, página 3033–3040, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=Hind+Almerekhi%2C+Haewoon+Kwak%2C+Joni+Salminen%2C+e+Bernard+J%2E+Jansen%2E+2020%2E+Are+these+comments+triggering%3F+predicting+triggers+of+toxicity+in+online+discussions%2E+Em+Proceedings+of+The+Web+Conference+2020%2C)
4. Hind Almerekhi, Haewoon Kwak, Joni Salminen, e Bernard J. Jansen. 2022b. Provoke: Toxicity trigger detection in conversations from the top 100 subreddits. Data and Information Management, 6(4):100019. [find](https://scholar.google.com/scholar?q=Hind+Almerekhi%2C+Haewoon+Kwak%2C+Joni+Salminen%2C+e+Bernard+J%2E+Jansen%2E+2022b%2E+Provoke%3A+Toxicity+trigger+detection+in+conversations+from+the+top+100+subreddits%2E+Data+and+Information+Management%2C+6%284%29%3A100019%2E)
5. Aahan Arif, Muskaan Abdul Qadir, Russell Seth Martins, e Hussain Maqbool Ahmed Khuwaja. 2024. The impact of cyberbullying on mental health outcomes amongst university students: A systematic review. PLOS Mental Health, 1(6):1–16. [find](https://scholar.google.com/scholar?q=Aahan+Arif%2C+Muskaan+Abdul+Qadir%2C+Russell+Seth+Martins%2C+e+Hussain+Maqbool+Ahmed+Khuwaja%2E+2024%2E+The+impact+of+cyberbullying+on+mental+health+outcomes+amongst+university+students%3A+A+systematic+review%2E+PL)
6. Michele Avalle and 1 others. 2024. Persistent interaction patterns across social media platforms and over time. Nature, 628(8008):582–589. [find](https://scholar.google.com/scholar?q=Michele+Avalle+and+1+others%2E+2024%2E+Persistent+interaction+patterns+across+social+media+platforms+and+over+time%2E+Nature%2C+628%288008%29%3A582%E2%80%93589%2E)
7. Steven Bird, Ewan Klein, e Edward Loper. 2009. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media, Inc. [find](https://scholar.google.com/scholar?q=Steven+Bird%2C+Ewan+Klein%2C+e+Edward+Loper%2E+2009%2E+Natural+Language+Processing+with+Python%3A+Analyzing+Text+with+the+Natural+Language+Toolkit%2E+O%E2%80%99Reilly+Media%2C+Inc%2E)
8. Pablo Botton Costa and 1 others. 2023. BERTabaporu: Assessing a genre-specific language model for Portuguese NLP. Em Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, páginas 217–223. INCOMA Ltd., Shoumen, Bulgaria. [find](https://scholar.google.com/scholar?q=Pablo+Botton+Costa+and+1+others%2E+2023%2E+BERTabaporu%3A+Assessing+a+genre%2Dspecific+language+model+for+Portuguese+NLP%2E+Em+Proceedings+of+the+14th+International+Conference+on+Recent+Advances+in+Natural+Lang)
9. Gustavo Cunha e Ana Silva. 2024. Caracterizando polarização em redes sociais: Um estudo de caso das discussões no reddit sobre as eleições brasileiras de 2018 e 2022. Em Proceedings of the 30th Brazilian Symposium on Multimedia and the Web, páginas 365–369, Porto Alegre, RS, Brasil. SBC. [find](https://scholar.google.com/scholar?q=Gustavo+Cunha+e+Ana+Silva%2E+2024%2E+Caracterizando+polariza%C3%A7%C3%A3o+em+redes+sociais%3A+Um+estudo+de+caso+das+discuss%C3%B5es+no+reddit+sobre+as+elei%C3%A7%C3%B5es+brasileiras+de+2018+e+2022%2E+Em+Proceedings+of+the+30th+Brazil)
10. Thomas Davidson, Dana Warmsley, Michael Macy, e Ingmar Weber. 2017. [Automated hate speech detection and the problem of offensive language](https://md.research.elamur.ai/free/en/papers/davidson-2017-automated-hate-speech-detection-problem/). Em Proceedings of the international AAAI conference on web and social media, volume 11, páginas 512–515.
11. Carolina Eberhart, Luciano Ignaczak, e Márcio Martins. 2021. Text mining for cyberbullying detection: a brazilian portuguese evaluation. Em Anais do XIII Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana, páginas 92–100, Porto Alegre, RS, Brasil. SBC. [find](https://scholar.google.com/scholar?q=Carolina+Eberhart%2C+Luciano+Ignaczak%2C+e+M%C3%A1rcio+Martins%2E+2021%2E+Text+mining+for+cyberbullying+detection%3A+a+brazilian+portuguese+evaluation%2E+Em+Anais+do+XIII+Simp%C3%B3sio+Brasileiro+de+Tecnologia+da+Informa%C3%A7%C3%A3)
12. Paula Fortuna, João Rocha da Silva, Juan Soler-Company, Leo Wanner, e Sérgio Nunes. 2019. [A hierarchically-labeled Portuguese hate speech dataset](https://md.research.elamur.ai/free/en/papers/fortuna-2019-hierarchically-labeled-portuguese-hate-speech/). Em Proceedings of the Third Workshop on Abusive Language Online, páginas 94–104, Florence, Italy. Association for Computational Linguistics.
13. Claudia Freitas, Paulo Rocha, e Eckhard Bick. 2008. A new world in floresta sintá(c)tica – the portuguese treebank. Calidoscópio, 6(3):142–148. [find](https://scholar.google.com/scholar?q=Claudia+Freitas%2C+Paulo+Rocha%2C+e+Eckhard+Bick%2E+2008%2E+A+new+world+in+floresta+sint%C3%A1%28c%29tica+%E2%80%93+the+portuguese+treebank%2E+Calidosc%C3%B3pio%2C+6%283%29%3A142%E2%80%93148%2E)
14. Marti A. Hearst. 1997. [Text tiling: Segmenting text into multi-paragraph subtopic passages](https://md.research.elamur.ai/free/en/papers/hearst-1997-text-tiling-segmenting-text-into/). Computational Linguistics, 23(1):33–64.
15. Dan Hiaeshutter-Rice e Ian Hawkins. 2022. The language of extremism on social media: An examination of posts, comments, and themes on reddit. Frontiers in Political Science, 4:805008. [find](https://scholar.google.com/scholar?q=Dan+Hiaeshutter%2DRice+e+Ian+Hawkins%2E+2022%2E+The+language+of+extremism+on+social+media%3A+An+examination+of+posts%2C+comments%2C+and+themes+on+reddit%2E+Frontiers+in+Political+Science%2C+4%3A805008%2E)
16. Albert Q. Jiang and 1 others. 2023. Mistral 7b. Preprint, arXiv:2310.06825. [find](https://scholar.google.com/scholar?q=Albert+Q%2E+Jiang+and+1+others%2E+2023%2E+Mistral+7b%2E+Preprint%2C+arXiv%3A2310%2E06825%2E)
17. Deepak Kumar, Jeff Hancock, Kurt Thomas, e Zakir Durumeric. 2023. Understanding the behaviors of toxic accounts on reddit. Em Proceedings of the ACM Web Conference 2023, WWW ’23, página 2797–2807, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=Deepak+Kumar%2C+Jeff+Hancock%2C+Kurt+Thomas%2C+e+Zakir+Durumeric%2E+2023%2E+Understanding+the+behaviors+of+toxic+accounts+on+reddit%2E+Em+Proceedings+of+the+ACM+Web+Conference+2023%2C+WWW+%E2%80%9923%2C+p%C3%A1gina+2797%E2%80%932807%2C+New)
18. João Augusto Leite and 1 others. 2020. Toxic language detection in social media for Brazilian Portuguese: New dataset and multilingual analysis. Em Proceedings of the 1st Conference of the Asia-Pacific and the 10th International Joint Conference on Natural Language Processing, páginas 914–924, Suzho… [find](https://scholar.google.com/scholar?q=Jo%C3%A3o+Augusto+Leite+and+1+others%2E+2020%2E+Toxic+language+detection+in+social+media+for+Brazilian+Portuguese%3A+New+dataset+and+multilingual+analysis%2E+Em+Proceedings+of+the+1st+Conference+of+the+Asia%2DPacifi)
19. Barbara Lewandowska-Tomaszczyk, Anna B aczkowska, Chaya Liebeskind, Giedre Valunaite Oleskeviciene, e Slavko Žitnik. 2023. An integrated explicit and implicit offensive language taxonomy. Lodz Papers in Pragmatics, 19(1):7–48. [find](https://scholar.google.com/scholar?q=Barbara+Lewandowska%2DTomaszczyk%2C+Anna+B+aczkowska%2C+Chaya+Liebeskind%2C+Giedre+Valunaite+Oleskeviciene%2C+e+Slavko+%C5%BDitnik%2E+2023%2E+An+integrated+explicit+and+implicit+offensive+language+taxonomy%2E+Lodz+Papers+)
20. Giovana Piorino, Luiz Lima, Adriana Pagano, e Ana Silva. 2025. Toxicidade e gatilhos: Um estudo de caso em comunidades do reddit no brasil. Em Proceedings of the 31st Brazilian Symposium on Multimedia and the Web, páginas 575–579, Porto Alegre, RS, Brasil. SBC. [find](https://scholar.google.com/scholar?q=Giovana+Piorino%2C+Luiz+Lima%2C+Adriana+Pagano%2C+e+Ana+Silva%2E+2025%2E+Toxicidade+e+gatilhos%3A+Um+estudo+de+caso+em+comunidades+do+reddit+no+brasil%2E+Em+Proceedings+of+the+31st+Brazilian+Symposium+on+Multimedia)
21. Nicholas Proferes, Naiyan Jones, Sarah Gilbert, Casey Fiesler, e Michael Zimmer. 2021. Studying reddit: A systematic overview of disciplines, approaches, methods, and ethics. Social Media+ Society, 7(2). [find](https://scholar.google.com/scholar?q=Nicholas+Proferes%2C+Naiyan+Jones%2C+Sarah+Gilbert%2C+Casey+Fiesler%2C+e+Michael+Zimmer%2E+2021%2E+Studying+reddit%3A+A+systematic+overview+of+disciplines%2C+approaches%2C+methods%2C+and+ethics%2E+Social+Media%2B+Society%2C+7%28)
22. Alexandre Rademaker, Fabricio Chalub, Livy Real, Cláudia Freitas, Eckhard Bick, e Valeria de Paiva. 2017. Universal dependencies for portuguese. Em Proceedings of the Fourth International Conference on Dependency Linguistics (Depling), páginas 197– 206, Pisa, Italy. [find](https://scholar.google.com/scholar?q=Alexandre+Rademaker%2C+Fabricio+Chalub%2C+Livy+Real%2C+Cl%C3%A1udia+Freitas%2C+Eckhard+Bick%2C+e+Valeria+de+Paiva%2E+2017%2E+Universal+dependencies+for+portuguese%2E+Em+Proceedings+of+the+Fourth+International+Conference+o)
23. Nils Reimers e Iryna Gurevych. 2019. [Sentence-bert: Sentence embeddings using siamese bert-networks](https://md.research.elamur.ai/free/en/papers/reimers-2019-sentence-bert-sentence-embeddings-siamese/). Em Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
24. Vigneshwaran Shankaran e Rajesh Sharma. 2024. Analyzing toxicity in deep conversations: A reddit case study. Preprint, arXiv:2404.07879. — [arXiv:2404.07879](https://arxiv.org/abs/2404.07879) [find](https://scholar.google.com/scholar?q=Vigneshwaran+Shankaran+e+Rajesh+Sharma%2E+2024%2E+Analyzing+toxicity+in+deep+conversations%3A+A+reddit+case+study%2E+Preprint%2C+arXiv%3A2404%2E07879%2E+%E2%80%94+%5BarXiv%3A2404%2E07879%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2404%2E07879%29)
25. Luiz Henrique Quevedo Lima, Adriana Silvina Pagano, e Ana Paula Couto da Silva. 2024. Toxic content detection in online social networks: a new dataset from Brazilian Reddit communities. Em Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1, páginas 47… [find](https://scholar.google.com/scholar?q=Luiz+Henrique+Quevedo+Lima%2C+Adriana+Silvina+Pagano%2C+e+Ana+Paula+Couto+da+Silva%2E+2024%2E+Toxic+content+detection+in+online+social+networks%3A+a+new+dataset+from+Brazilian+Reddit+communities%2E+Em+Proceedings)
26. Maryam Maleki, Mohammad Arani, Esther Mead, Joseph Kready, e Nitin Agarwal. 2022. Applying an epidemiological model to evaluate the propagation of toxicity related to covid-19 on twitter. [find](https://scholar.google.com/scholar?q=Maryam+Maleki%2C+Mohammad+Arani%2C+Esther+Mead%2C+Joseph+Kready%2C+e+Nitin+Agarwal%2E+2022%2E+Applying+an+epidemiological+model+to+evaluate+the+propagation+of+toxicity+related+to+covid%2D19+on+twitter%2E)
27. Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, e James R Curran. 2013. Learning multilingual named entity recognition from wikipedia. Artificial Intelligence, 194:151–175. [find](https://scholar.google.com/scholar?q=Joel+Nothman%2C+Nicky+Ringland%2C+Will+Radford%2C+Tara+Murphy%2C+e+James+R+Curran%2E+2013%2E+Learning+multilingual+named+entity+recognition+from+wikipedia%2E+Artificial+Intelligence%2C+194%3A151%E2%80%93175%2E)
28. Felipe Oliveira, Victoria Reis, e Nelson Ebecken. 2023. Tupy-e: detecting hate speech in brazilian portuguese social media with a novel dataset and comprehensive analysis of models. Preprint, arXiv:2312.17704. — [arXiv:2312.17704](https://arxiv.org/abs/2312.17704) [find](https://scholar.google.com/scholar?q=Felipe+Oliveira%2C+Victoria+Reis%2C+e+Nelson+Ebecken%2E+2023%2E+Tupy%2De%3A+detecting+hate+speech+in+brazilian+portuguese+social+media+with+a+novel+dataset+and+comprehensive+analysis+of+models%2E+Preprint%2C+arXiv%3A23)
29. Pablo Botton da Costa. 2022. bertabaporu-base-uncased (revision 1982d0f). [find](https://scholar.google.com/scholar?q=Pablo+Botton+da+Costa%2E+2022%2E+bertabaporu%2Dbase%2Duncased+%28revision+1982d0f%29%2E)
30. Joon Sung Park, Joseph Seering, e Michael S. Bernstein. 2022. Measuring the prevalence of antisocial behavior in online communities. Preprint, arXiv:2208.13094. — [arXiv:2208.13094](https://arxiv.org/abs/2208.13094) [find](https://scholar.google.com/scholar?q=Joon+Sung+Park%2C+Joseph+Seering%2C+e+Michael+S%2E+Bernstein%2E+2022%2E+Measuring+the+prevalence+of+antisocial+behavior+in+online+communities%2E+Preprint%2C+arXiv%3A2208%2E13094%2E+%E2%80%94+%5BarXiv%3A2208%2E13094%5D%28https%3A%2F%2Farxiv%2Eorg%2F)
31. Slav Petrov, Dipanjan Das, e Ryan McDonald. 2011. [A universal part-of-speech tagset](https://md.research.elamur.ai/free/en/papers/petrov-2012-universal-part-speech-tagset/). arXiv preprint arXiv:1104.2086.
32. Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, e Liliana Chanona-Hernández. 2014. Syntactic n-grams as machine learning features for natural language processing. Expert Systems with Applications, 41(3):853–860. spaCy. 2023. Portuguese models. [https://spacy.io/](https://spacy.io/) models… [↗](https://spacy.io/)
33. Hugo Touvron and 1 others. 2023. [Llama 2: Open foundation and fine-tuned chat models](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-2-open-foundation-fine/). Preprint, arXiv:2307.09288.
34. Francielle Vargas and 1 others. 2022. HateBR: A large expert annotated corpus of Brazilian Instagram comments for offensive language and hate speech detection. Em Proceedings of the Thirteenth Language Resources and Evaluation Conference, páginas 7174– 7183, Marseille, France. European Language Reso… [find](https://scholar.google.com/scholar?q=Francielle+Vargas+and+1+others%2E+2022%2E+HateBR%3A+A+large+expert+annotated+corpus+of+Brazilian+Instagram+comments+for+offensive+language+and+hate+speech+detection%2E+Em+Proceedings+of+the+Thirteenth+Languag)
35. Demetris Vrontis, Evangelia Siachou, Georgia Sakka, Sheshadri Chatterjee, Ranjan Chaudhuri, e Arka Ghosh. 2022. Societal effects of social media in organizations: Reflective points deriving from a systematic literature review and a bibliometric meta-analysis. European Management Journal, 40(2):151–1… [find](https://scholar.google.com/scholar?q=Demetris+Vrontis%2C+Evangelia+Siachou%2C+Georgia+Sakka%2C+Sheshadri+Chatterjee%2C+Ranjan+Chaudhuri%2C+e+Arka+Ghosh%2E+2022%2E+Societal+effects+of+social+media+in+organizations%3A+Reflective+points+deriving+from+a+sys)
36. Thomas Wolf and 1 others. 2020. [Transformers: State-of-the-art natural language processing](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/). Em Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, páginas 38–45. Association for Computational Linguistics.
37. Yulin Yu, Julie Jiang, e Paramveer Dhillon. 2024. Characterizing the structure of online conversations across reddit. Preprint, arXiv:2209.14836. — [arXiv:2209.14836](https://arxiv.org/abs/2209.14836) [find](https://scholar.google.com/scholar?q=Yulin+Yu%2C+Julie+Jiang%2C+e+Paramveer+Dhillon%2E+2024%2E+Characterizing+the+structure+of+online+conversations+across+reddit%2E+Preprint%2C+arXiv%3A2209%2E14836%2E+%E2%80%94+%5BarXiv%3A2209%2E14836%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2209%2E14836%29)

*Updated 1 November 2026*