Overall GloVe word embeddings performed well on the LIAR dataset while BERT sentence embeddings have shown good performance on the Fake-or-Real dataset. Index ...

Oct 18, 2021 · The focus of this research is to identify fake news by applying different artificial intelligence techniques along with different embeddings and ...

The focus of this research is to identify fake news by applying different artificial intelligence techniques along with different embeddings and to assess ...

Deep learning algorithms are used by Mansoui et al. [15] to identify bogus news. The approach uses a convolutional neural network to target both labelled and ...

Jun 30, 2023 · The basic idea behind the two training models is that either a word is used to predict the context of it (Skip-gram) or the other way around, to ...

Dec 13, 2024 · This research presents a novel approach that leverages a combination of three popular word embeddings (FastText, FastText-Subword, and GloVe) ...

Three different approaches were tested: one using bag-of-words, another using GloVe word embeddings and another based on the fine-tuning of a Bidirectional ...

Dec 8, 2021 · The objective of this paper is to present a novel explainability approach in BERT-based fake news detectors.

Jan 18, 2023 · In this paper, we propose a new approach that uses document embeddings to build multiple models that accurately label news articles as reliable or fake.

Oct 17, 2023 · This model uses GloVE as the embedding Layer and three layers of bidirectional GRU with the attention as word encoder, sentence encoder, and ...