This is the dataset for FineFake : A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
Follow the instructions to download the dataset. You can download text data, metadata, image data and knowledge data. The dataset is divided into six topics and eight platforms: Politics, Entertainment, Business, Health, Society, Conflict. Snopes, Twitter, Reddit, CNN, Apnews, Cdc.gov, Nytimes, Washingtonpos. The dataset and images can be downloaded here.
The data is stored as pickle file, it can be opened to dataframe by following codes.
pip install pickle
pip install pandas
import pickle as pkl
import pandas as pd
with open(file_name,"rb") as f:
data_df = pkl.load(f) # data_df is in dataframe There are 13 columns in pickle file, each attribute and its corresponding meaning is shown in the table below.
| text | image_path | entity_id | topic | label | fine-grained label | knowledge_embedding | description | relation | platform | author | date | comment |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| news body text | image_path(relative path) | text-entity wiki id | topic from six topics | label | fine-grained label | knowledge_embedding | text-entity description | relation | The source of the news | author | The date of the news publication | comment |