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Paper Index on ACL Anthology

A Bounded Coordination-Support Capability for Multi-Party Settings: Task-State Monitoring in Firefighter Incident Command A Dataset of Latin Etymologies Extracted from Wiktionary An Efficient Approach for Answering Not Readily Attainable Questions for RAG-based Applications Automated German Alt Text Generation for News Charts Call Support Copilot: A Reproducible Multimodal System for Speech Emotion Recognition, Intent Understanding, and Agent Assistance Can Large Language Models Replace Statistical Software? Code-Switching Detection in Multilingual Child Speech with SwissBERT Concept Extraction and Webb’s Depth of Knowledge: Comparing LLM Question Generation Pipelines for Educational Assessment Data Augmentation for Historical NER: A Systematic Comparison of Lexical and LLM-based Approaches Enhancing Retrieval via Cognitively Motivated Document Expansion Extending the Contact Hypothesis: Cross-Linguistic Evaluation of Religion and Nationality Bias When Prompting LLMs in German and Icelandic Extracting Article-Level Legal Dependencies from Swiss Federal Law using LLMs How Good is AI on Swiss Voting Booklets? A Multilingual OCR and Alignment Benchmark Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment Proceedings of the 11th Edition of the Swiss Text Analytics Conference Reinforcement Learning for Latent-Space Thinking in LLMs RUMLEM: A Dictionary-Based Lemmatizer for Romansh Skill Extraction from Resumes and Job Offers across Six Languages Text vs. Phoneme Intermediates for Low-Resource Swiss German The Same Email, Signed Differently: Testing Negotiation Bias and Recommendation Stability in LLMs Which Skills Debate Reaches the Public? Comparing Scientific Literature and Media Coverage of AI and LLM Skill Impacts (2022–2025) Controlling Language and Style of Multi-lingual Generative Language Models with Control Vectors Hybrid Human-LLM Corpus Construction and LLM Evaluation for the Caused-Motion Construction Implicit and Indirect: Detecting Face-threatening and Paired Actions in Asynchronous Online Conversations Northern European Journal of Language Technology, Volume 11 A modular architecture for creating multimodal embodied agents with an episodic Knowledge Graph as an explainable and controllable long-term memory A Neural Approach to Discourse Relation Signal Detection An Analysis of Japanese Sentence-final Particle Yone: Compare Yone and Ne in Response Attribution and the discourse structure of reports Automatic Detection of the Bulgarian Evidential Renarrative
Diálogos Tóxicos: Gatilhos e Padrões de Interação no Redd...
2026-04-13 · via Paper Index on ACL Anthology

Abstract

In this paper we analyze the structural and linguistic dynamics of online toxicity in Reddit discussion trees, focusing on how trigger comments escalate conflicts in Brazilian Portuguese. Using a fine-tuned BERTAbaporu model, we show that toxic discussions are deeper, more engaging, and initially semantically cohesive, but degrade over time, while non-toxic interactions emphasize social bonding. Our findings contribute to a better understanding of toxicity escalation and support early detection of discursive conflicts.

Anthology ID:
2026.propor-1.57
Volume:
Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
Month:
April
Year:
2026
Address:
Salvador, Brazil
Editors:
Marlo Souza, Iria de-Dios-Flores, Diana Santos, Larissa Freitas, Jackson Wilke da Cruz Souza, Eugénio Ribeiro
Venue:
PROPOR
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
581–590
Language:
URL:
https://aclanthology.org/2026.propor-1.57/
DOI:
Bibkey:
Cite (ACL):
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. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 581–590, Salvador, Brazil. Association for Computational Linguistics.
Cite (Informal):
Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro (Piorino et al., PROPOR 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.propor-1.57.pdf