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Fake News Detection

22 papers with code ยท Natural Language Processing

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Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News

3 Apr 2020

Social media has greatly enabled people to participate in online activities at an unprecedented rate.

FAKE NEWS DETECTION META-LEARNING

Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks

21 Mar 2020

In this dissertation, we analyse the state-of-the-art in pair-wise trust prediction models in OSNs.

FAKE NEWS DETECTION RECOMMENDATION SYSTEMS

SAFE: Similarity-Aware Multi-Modal Fake News Detection

19 Feb 2020

Current studies have made significant contributions to predicting fake news with less focus on exploiting the relationship (similarity) between the textual and visual information in news articles.

FAKE NEWS DETECTION

Fake News Detection with Different Models

15 Feb 2020

This is a paper for exploring various different models aiming at developing fake news detection models and we had used certain machine learning algorithms and we had used pretrained algorithms such as TFIDF and CV and W2V as features for processing textual data.

FAKE NEWS DETECTION

HGAT: Hierarchical Graph Attention Network for Fake News Detection

5 Feb 2020

News articles along with other related components like news creators and news subjects can be modeled as a heterogeneous information network (HIN for short).

FAKE NEWS DETECTION REPRESENTATION LEARNING

Fake News Detection by means of Uncertainty Weighted Causal Graphs

4 Feb 2020

In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs.

FAKE NEWS DETECTION

Detecting Fake News with Capsule Neural Networks

3 Feb 2020

This paper aims to use capsule neural networks in the fake news detection task.

FAKE NEWS DETECTION WORD EMBEDDINGS

Two-path Deep Semi-supervised Learning for Timely Fake News Detection

31 Jan 2020

In addition, we build a shared CNN to extract the low level features on both labeled data and unlabeled data to feed them into these two paths.

FAKE NEWS DETECTION

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

27 Jan 2020

Nowadays, Internet is a primary source of attaining health information.

FAKE NEWS DETECTION

To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers

8 Jan 2020

Thus, our results motivate the need for designing training techniques that are robust to unintended feature learning, specifically for transfer learned models.

FAKE NEWS DETECTION TRANSFER LEARNING