Combined Annotations of Misinformation, Propaganda, and Fallacies Identified Robustly and Explainably (CAMPFIRE)

Abstract

This report details annotation guidelines for marking misinformation indicators, propaganda, and logical fallacies in text,culminating in the novel Combined Annotations of Misinformation, Propaganda, and Fallacies Identified Robustly and Explainably (CAMPFIRE) corpus. We give the motivation for developing this annotation schema, as well its relation to other parallel annotations. We describe the collection of a corpus of COVID-19 related texts to which the schema has been applied and supply sample annotations. We close with remarks on how this corpus is being leveraged to develop interactive question answering and information extraction systems that are able to automatically detect and explain potential misinformation in queried documents.

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Document Details

Document Type
Technical Report
Publication Date
Feb 13, 2023
Accession Number
AD1193086

Entities

People

  • Austin Blodgett
  • Claire Bonial
  • Clare Voss
  • Taylor Hudson

Organizations

  • Florida Institute for Human and Machine Cognition
  • Oak Ridge Associated Universities
  • United States Army

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics
  • International Journalism and Media Studies.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval