48 citations · 126 across the 10 of their papers we have counts for
18 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…
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between…
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…
Do All Good Actors Look The Same? Exploring News Veracity Detection Across The U.S. and The U.K
Benjamin D. Horne, Maurício Gruppi, Sibel Adalı
A major concern with text-based news veracity detection methods is that they may not generalize across countries and cultures. In this short paper, we explicitly test news veracity…