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

reportActive / Technical Report | Accesssion Number: AD1193086 | DOI: 10.21236/AD1193086 | Open PDF

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.

Author(s):
Blodgett, Austin ; Bonial, Claire ; Hudson, Taylor ; Voss, Clare
Author Organization(s):
U.S. Army Combat Capabilities Development Command Army Research Laboratory; Oak Ridge Associated Universities; Institute for Human and Machine Cognition
Funding Organization(s):
U.S. Army Combat Capabilities Development Command Army Research Laboratory, Adelphi, MD
Document Type:
Technical Report/Technical Report
Publication Date:
2023 Feb 13
Pagination:
88

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release.
Copyright: Not Copyrighted

RECORD

Collection: TRECMS
Subject Terms
Keyword(s):
misinformation, logical fallacy, annotation, Military Information Systems
Subject Categories:
Behavioral and Social Sciences; Behavioral and Social Sciences; Behavioral and Social Sciences
Creation Date:
2023 Feb 13
Update Date:
2024 Jul 03