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Publications

Publications by Sérgio Nunes

2026

ClaimPT: A Portuguese Dataset of Annotated Claims in News Articles

Authors
Campos, R; Sequeira, R; Nerea, S; Cantante, I; Folques, D; Cunha, LF; Canavilhas, J; Branco, A; Jorge, A; Nunes, S; Guimarães, N; Silvano, P;

Publication
CoRR

Abstract

2026

CitiLink: Enhancing Municipal Transparency and Citizen Engagement through Searchable Meeting Minutes

Authors
Silva, R; Evans, JP; Isidro, J; Marques, M; Fonseca, A; Morais, R; Canavilhas, J; Pasquali, A; Silvano, P; Jorge, A; Guimarães, N; Nunes, S; Campos, R;

Publication
CoRR

Abstract

2026

VotIE: Information Extraction from Meeting Minutes

Authors
Evans, JP; Cunha, LF; Silvano, P; Jorge, A; Guimarães, N; Nunes, S; Campos, R;

Publication
CoRR

Abstract

2026

SegNSP: Revisiting Next Sentence Prediction for Linear Text Segmentation

Authors
Isidro, J; Cunha, LF; Silvano, P; Jorge, A; Guimarães, N; Nunes, S; Campos, R;

Publication
CoRR

Abstract

2024

Adding human values on the deepfake: co-designing fact-checking solutions to combat misinformation

Authors
C. H. Maia; P. Ariel; S. Nunes;

Publication
AI and Ethics

Abstract
Abstract The proliferation of misinformation poses a significant challenge to societies, and fact-checking emerges as a critical tool to combat this issue. In this work, we conduct an innovation impact assessment to question the use of technology to combat misinformation, specifically examining the ethical implications of this choice. To address this, we organized a workshop using the value sensitive design (VSD) methodology to explore questions in this context. The workshop introduced participants to the VSD framework, enabling them to critically assess whether specific scenarios align with human values, norms, and requirements. Real-world scenarios were discussed, including approaches implemented by legitimate news outlets and using 3D virtual characters by a Brazilian television employing deep learning. Participants analyzed how technology impacts journalism values, norms, and practices, focusing on aligning synthetic media technologies with automated fact-checking dissemination. In conclusion, the authors prepared recommendations from valuable insights into the complex ethical considerations surrounding synthetic media technologies for automatic fact-checking dissemination. It also facilitated cross-border discussions, with 11 participants from seven countries engaging in fruitful dialogue on this vital topic. The study proposed evaluation criteria for AI-generated content in this diversity, including privacy protection, inclusiveness, transparency, beauty standards conformity, engagement, meaningfulness, and effortlessness.

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