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Fake News Detection

22 papers with code · Natural Language Processing

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Improving Generalizability of Fake News Detection Methods using Propensity Score Matching

28 Jan 2020Arstanley/fakenews_pscore_match

Recently, due to the booming influence of online social networks, detecting fake news is drawing significant attention from both academic communities and general public.

FAKE NEWS DETECTION

7
28 Jan 2020

Stance Detection Benchmark: How Robust Is Your Stance Detection?

6 Jan 2020UKPLab/mdl-stance-robustness

Stance Detection (StD) aims to detect an author's stance towards a certain topic or claim and has become a key component in applications like fake news detection, claim validation, and argument search.

FAKE NEWS DETECTION MULTI-TASK LEARNING STANCE DETECTION

4
06 Jan 2020

Weak Supervision for Fake News Detection via Reinforcement Learning

28 Dec 2019yaqingwang/WeFEND-AAAI20

In order to tackle this challenge, we propose a reinforced weakly-supervised fake news detection framework, i. e., WeFEND, which can leverage users' reports as weak supervision to enlarge the amount of training data for fake news detection.

FAKE NEWS DETECTION

14
28 Dec 2019

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

10 Nov 2019entitize/fakeddit

We construct hybrid text+image models and perform extensive experiments for multiple variations of classification, demonstrating the importance of the novel aspect of multimodality and fine-grained classification unique to Fakeddit.

FAKE NEWS DETECTION

26
10 Nov 2019

Localization of Fake News Detection via Multitask Transfer Learning

21 Oct 2019jcblaisecruz02/Tagalog-fake-news

In this paper, we show that Transfer Learning (TL) can be used to train robust fake news classifiers from little data, achieving 91% accuracy on a fake news dataset in the low-resourced Filipino language, reducing the error by 14% compared to established few-shot baselines.

FAKE NEWS DETECTION LANGUAGE MODELLING TRANSFER LEARNING

3
21 Oct 2019

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language

5 Oct 2019nguyenvo09/LearningFromFactCheckers

In fighting against fake news, many fact-checking systems comprised of human-based fact-checking sites (e. g., snopes. com and politifact. com) and automatic detection systems have been developed in recent years.

FAKE NEWS DETECTION TEXT GENERATION

3
05 Oct 2019

Fake News Detection as Natural Language Inference

17 Jul 2019zake7749/WSDM-Cup-2019

The remainder of test cases are classified by our ensemble.

FAKE NEWS DETECTION NATURAL LANGUAGE INFERENCE

45
17 Jul 2019

Defending Against Neural Fake News

NeurIPS 2019 rowanz/grover

We find that best current discriminators can classify neural fake news from real, human-written, news with 73% accuracy, assuming access to a moderate level of training data.

FAKE NEWS DETECTION TEXT GENERATION

619
29 May 2019

A Benchmark Study on Machine Learning Methods for Fake News Detection

12 May 2019Tawkat/Fake-News-Detection

The proliferation of fake news and its propagation on social media have become a major concern due to its ability to create devastating impacts.

FAKE NEWS DETECTION

3
12 May 2019

Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web

10 May 2019anguyen120/fake-news-in-time

Over the past few years, we have been witnessing the rise of misinformation on the Web.

FAKE NEWS DETECTION

0
10 May 2019