Aug 16, 2019 · In this paper, we tackle this problem via a novel classification approach called one-class classification (OCC).

This paper tackles the problem of computational rumor detection via a novel classification approach called one-class classification (OCC), ...

Oct 22, 2024 · In this approach, the classifier is trained with only rumors, which means that we do not need the non-rumor data points at all. For this study, ...

Oct 7, 2019 · The main goal of rumor detection is to identify rumors in online social networks automatically, accurately, and in a timely manner. Binary ...

FardA.E. et al. Computational rumor detection without non-rumor: A one-class classification approach. IEEE Trans. Comput. Soc. Syst. (2019). GaoJ. et al. RP ...

Aiming at the lack of feature extraction ability of rumor detection methods based on the deep learning model, this study proposes a rumor detection method based ...

May 20, 2024 · On the other hand, rumor verification1 is typically the task of classifying a rumor as True, False, Un- verified, or Non-Rumor (Kochkina et al., ...

Jul 30, 2021 · The binary classification technique, which trains on rumors and non-rumors, is the most commonly used computational technique for rumor ...

Sep 14, 2023 · Walle, Computational rumor detection without non-rumor: A one-class classification approach, IEEE Trans. Com- put, Soc. Syst. 6 (2019) 830 ...

May 9, 2022 · Aiming to achieve efficient and accurate network rumor detection, this paper proposes a rumor detection method based on deep learning ...