1 code implementation • 10 Mar 2022 • Maurício Gruppi, Benjamin D. Horne, Sibel Adali
In this paper, we present the fifth installment of the NELA-GT datasets, NELA-GT-2022.
no code implementations • 10 Feb 2022 • Milo Trujillo, Maurício Gruppi, Cody Buntain, Benjamin D. Horne
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 commonly used alternative to YouTube.
no code implementations • 30 Jan 2021 • Maurício Gruppi, Sibel Adali, Pin-Yu Chen
The goal of LSC is to characterize and quantify language variations with respect to word meaning, to measure how distinct two language sources are (that is, people or language models).
no code implementations • 15 Jan 2021 • Maurício Gruppi, Benjamin D. Horne, Sibel Adali
Moreover, we show that the addition of CSN features increases the accuracy of writing style models, boosting accuracy as much as 14\% when using Random Forests.
1 code implementation • SEMEVAL 2020 • Maurício Gruppi, Sibel Adali, Pin-Yu Chen
Our results show evidence that the number of landmarks used for alignment has a directimpact on the predictive performance of the model.
no code implementations • 26 May 2020 • Benjamin D. Horne, Maurício Gruppi, Sibel Adali
A major concern with text-based news veracity detection methods is that they may not generalize across countries and cultures.
2 code implementations • 18 Mar 2020 • Maurício Gruppi, Benjamin D. Horne, Sibel Adali
In this paper, we present an updated version of the NELA-GT-2018 dataset (N{\o}rregaard, Horne, and Adal{\i} 2019), entitled NELA-GT-2019.
Computers and Society