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Deepseek | 1 month ago | |
GPT-4o | 1 month ago | |
LLaMa | 1 month ago | |
Prompt_0 | 1 month ago | |
Qwen | 1 month ago | |
README.md | 1 month ago | |
log_processor.py | 1 month ago | |
news_dataset.csv | 1 month ago | |
news_leaning_dataset.csv | 1 month ago |
This repository contains the implementation of the paper βToward Fair and Effective Fake News Detection: Assessing Large Language Models.β The project focuses on evaluating the fairness and efficiency of Large Language Models (LLMs) in detecting fake news using a dataset of news articles classified by political leaning.
use the news_dataset.csv
and news_leaning_dataset.csv
as dataset and log_processor.py
as processor for the outputs of each LLM.
The dataset consists of news articles labeled with political leanings and fact-checking results. The files include: