Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

Official repository for "Zoom Out and Observe: News Environment Perception for Fake News Detection", ACL 2022.

Bengali/Bangla Fake Review Detection Dataset

📄 Unbiased disinformation analyzer. Measure the deviance of fake information from the truth.

The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks

[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".

[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

Submission for SemEval 2024 - Task 8 (Subtask A)

Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.

English and Turkish Misinformation Detection Dataset from "MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection"

Projects completed during internship with code.

This web app is a fake news prediction tool. It uses a machine learning model to predict whether a given news is fake or not. The model is trained on a dataset of news articles and their labels. The model uses a logistic regression algorithm to make predictions.

Multilingual discourse-annotated dataset for fake news detection

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

Training a model to detect fake news articles, then Identifying the text features that indicate fake news.

Fake News Detection Using Social Media User Network and Engagement Features

We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.

A Fake News Detection System built with Neural Networks.

Developed for the Advanced Statistics for Physics Analysis course, the implementation is carried out using the R language.