Motivators and Deterrents for Data Description and Publication: Preliminary Results (Short Paper). - Cristina Ribeiro 001; João Rocha da Silva; João Aguiar Castro; Ricardo Carvalho Amorim; Paula Fortuna (OTM Workshops, 2015)

Journalistic Relevance Classification in Social Network Messages: an Exploratory Approach. - Miguel Sandim; Paula Fortuna; Álvaro Figueira; Luciana Oliveira 001 (COMPLEX NETWORKS, 2016)

An Approach to Relevancy Detection: Contributions to the Automatic Detection of Relevance in Social Networks. - Álvaro Figueira; Miguel Sandim; Paula Fortuna (WorldCIST (1), 2016)

Merging Datasets for Aggressive Text Identification. - Paula Fortuna; José Ferreira; Luiz Pires; Guilherme Routar; Sérgio Nunes 001 (TRAC@COLING 2018, 2018)

Merging Datasets for Hate Speech Classification in Italian. - Paula Fortuna; Ilaria Bonavita; Sérgio Nunes 001 (EVALITA@CLiC-it, 2018)

A Survey on Automatic Detection of Hate Speech in Text. - Paula Fortuna; Sérgio Nunes 001 (ACM Comput. Surv., 2018)

Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible? - Paula Fortuna; Juan Soler Company; Sérgio Nunes 001 (SemEval@NAACL-HLT, 2019)

Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets. - Paula Fortuna; Juan Soler Company; Leo Wanner (LREC, 2020)

Toxicity-Associated News Classification: The Impact of Metadata and Content Features. - Paula Fortuna; Luís B. Cruz; Rodrigo Maia; Vanessa Cortez; Sérgio Nunes 001 (ICWSM Workshops, 2021)

How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets? - Paula Fortuna; Juan Soler Company; Leo Wanner (Inf. Process. Manag., 2021)

Directions for NLP Practices Applied to Online Hate Speech Detection. - Paula Fortuna; Mónica Domínguez; Leo Wanner; Zeerak Talat (EMNLP, 2022)

Re-thinking large scale hate speech identification: beyond common NLP conventions and supervised machine learning - Paula Fortuna (2023)