This repository contains the data and code of the paper "Can online attention signals help fact-checkers fact-check?" (which you can read clicking here):
@inproceedings{ribeiro2022factcheck,
title={Can online attention signals help fact-checkers fact-check?},
author={Ribeiro, Manoel Horta and West, Robert},
booktitle={Workshop Proceedings of the 16th International AAAI
Conference on Web and Social Media (MEDIATE)},
year={2022}
-
analysis.ipynb
reproduces Figures 3-8. -
organizations.csv
— organization to country mapping. -
df_ts.csv
— weekly attention (max_ratio
) going to each country for each claim. -
df_casv.csv
— weekly attention-derived metrics (e.g., CASV) going to each country for each claim. -
df_fc.csv
— relevant fact-checking efforts for the considered claims. -
original_database.csv
— original database provided by IFCN. -
claim-clusters/
— claim cluster extracted from original database. -
kg_ids.json
— mapping between claim clusters and knowledge graph ids.