34 citations · 46 across the 14 of their papers we have counts for
16 papers
Deep Reinforcement Learning for Minimum Zero-Forcing Sets
Steve Halley, Maurício Gruppi
This paper explores the problem of finding the minimum zero-forcing set on undirected graphs and proposes an adapted machine-learning framework to solve the problem. The minimum ze…
Tracking the Temporal Dynamics of News Coverage of Catastrophic and Violent Events
Emily Lugos, Maurício Gruppi
The modern news cycle has been fundamentally reshaped by the rapid exchange of information online. As a result, media framing shifts dynamically as new information, political respo…
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
Mauricio Gruppi, Soham Dan, Keerthiram Murugesan +1
Text-based reinforcement learning involves an agent interacting with a fictional environment using observed text and admissible actions in natural language to complete a task. Prev…
NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems
Benjamin D. Horne, Maurício Gruppi
Pink slime news outlets automatically produce low-quality, often partisan content that is framed as authentic local news. Given that local news is trusted by Americans and is incre…
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-2022: 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 the fifth installment of the NELA-GT datasets, NELA-GT-2022. The dataset contains 1,778,361 articles from 361 outlets between January 1st, 2022 and Decemb…
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…
What is BitChute? Characterizing the "Free Speech" Alternative to YouTube
Milo Trujillo, Maurício Gruppi, Cody Buntain +1
In this paper, we characterize the content and discourse on BitChute, a social video-hosting platform. Launched in 2017 as an alternative to YouTube, BitChute joins an ecosystem of…
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…
NELA-GT-2019: 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-2018 dataset (Nørregaard, Horne, and Adalı 2019), entitled NELA-GT-2019. NELA-GT-2019 contains 1.12M news articles from…
Trustworthy Misinformation Mitigation with Soft Information Nudging
Benjamin D. Horne, Maurício Gruppi, Sibel Adalı
Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard…
An Exploration of Unreliable News Classification in Brazil and The U.S
Mauricio Gruppi, Benjamin D. Horne, Sibel Adali
The propagation of unreliable information is on the rise in many places around the world. This expansion is facilitated by the rapid spread of information and anonymity granted by…