franciellevargas

HateBR

HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.

MOL

Multilingual Offensive Lexicon consists of the first contextual lexicon for abusive language detection, which is composed of 1,000 explicit and implicit terms and expressions with any pejorative connotation annotated with contextual information

OpCluster-PT

An automatic opinion implicit and explicit aspect identification and clustering tool for aspect-based opinion mining / sentiment analysis applications. Opcluster-PT also allows the customization for other languages, being minimally necessary a lexical language resource as such as WordNet, deverbal, foreign, diminutive and enhancing Lexicon. OpCluster-PT is currently customized for Brazilian Portuguese.

FactNews

FactNews is the first dataset to predict sentence-level factuality of news reporting. Furthemore, we provide baseline results for sentence-level factuality and media bias predicition in Portuguese. The FactNews is composed of 6,191 annotated sentences by factuality and media bias definitions by AllSides.

SentiAspect-pt

The SentiAspect-pt comprises 180 product reviews annotated according to implicit and explicit fine-grained opinions, which were hierarchically organized for aspect-based sentiment analysis and opinion summarization applications.

PRO

Ontologies of aspects- groups of (hierarchically organized) explicit and implicit opinion aspects for supporting opinion mining and text summarization tasks, including the domains of smartphones, digital cameras and books, in OWL format.

OPCovidBR

Fine-grained opinion identification and polarity classification of Covid-19 tweets in Portuguese.

Fake-reviews-detection

Um dataset com 92 reviews falsas e 92 reviews verdadeiras sobre livros em Português

franciellevargas.github.io

LIWC-PT

Deceiver

Multilingual discourse-annotated dataset for fake news detection

UI-hackathon-twitters-in-english-

Project was led by Indiana University (USA) Professors Gunther Jikeli and Damir Cavar. The participants should recognize, monitor, and track antisemitic messages (in English) on social media (specifically Twitter).

DeceptECAI2020

1st International Workshop on Deceptive AI @ECAI2020

dlinnlp2023.github.io

Emotion-lexicon

This is a subjective lexicon of baseline emotion (alegria, desgosto, medo, negativo, neutro, positivo, raiva, supresa e tristeza) em Português.

FakeNewsCorpusSpanish

The Spanish Fake News Corpus contains a collection of 971 news divided into 491 real news and 480 fake news. The corpus covers news from 9 different topics: Science, Sport, Economy, Education, Entertainment, Politics, Health, Security, and Society

FakeNewsNet

This is a dataset for fake news detection research

HausaHate

HausaHate is a benchmark dataset for Hausa hate speech detection task. it was extracted from West African Facebook pages and comprises 2,000 comments annotated according to a binary class (offensive and non-offensive) and hate speech targets (race, gender and none).

Hurtlex

A multilingual lexicon of words to hurt.

Italian-RST-News

MLP-e-RBF

A multilayer perceptron (MLP) manually developed.

Neural-Media-Bias-Detection-Using-Distant-Supervision-With-BABE

NewsCrawler

Crawler for Portuguese online news

NoHateBrazil

A Brazilian Portuguese Text Offensiveness Analysis System

OpCluster-PT-web

Automatic identification and clustering of opinion explicit and implicit aspects in product reviews for Portuguese language

SSA

SSA is a post-hoc explanation method by stereotypes and counter-stereotypes to assess social bias in hate speech classifiers

stanza

Official Stanford NLP Python Library for Many Human Languages

STT