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Data and code for the paper: "Can online attention signals help fact-checkers fact-check?"

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Code and data for "Can online attention signals help fact-checkers fact-check?"

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}

Relevant files

  • 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.

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Data and code for the paper: "Can online attention signals help fact-checkers fact-check?"

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