4 citations · 9 across the 6 of their papers we have counts for
10 papers
SciLander: Mapping the Scientific News Landscape
Maurício Gruppi, Panayiotis Smeros, Sibel Adalı +2
The COVID-19 pandemic has fueled the spread of misinformation on social media and the Web as a whole. The phenomenon dubbed `infodemic' has taken the challenges of information vera…
NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems
Benjamin D. Horne, Maurício Gruppi, Kenneth Joseph +3
In this paper, we present a dataset of over 1.4M online news articles from 313 local U.S. news outlets published over 20 months (between April 4th, 2020 and December 31st, 2021). T…
The MeLa BitChute Dataset
Milo Trujillo, Maurício Gruppi, Cody Buntain +1
In this paper we present a near-complete dataset of over 3M videos from 61K channels over 2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a…
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
Maurício Gruppi, Sibel Adalı, Pin-Yu Chen
The use of language is subject to variation over time as well as across social groups and knowledge domains, leading to differences even in the monolingual scenario. Such variation…
Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection
Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
Stopping the malicious spread and production of false and misleading news has become a top priority for researchers. Due to this prevalence, many automated methods for detecting lo…
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
This paper describes SChME (Semantic Change Detection with Model Ensemble), a method usedin SemEval-2020 Task 1 on unsupervised detection of lexical semantic change. SChME usesa mo…