@inproceedings{blackburn-etal-2020-corpus,
title = "Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach",
author = "Blackburn, Mack and
Yu, Ning and
Berrie, John and
Gordon, Brian and
Longfellow, David and
Tirrell, William and
Williams, Mark",
editor = "Bhatia, Archna and
Shaikh, Samira",
booktitle = "Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.stoc-1.7",
pages = "41--47",
abstract = "Disinformation on social media is impacting our personal life and society. The outbreak of the new coronavirus is the most recent example for which a wealth of disinformation provoked fear, hate, and even social panic. While there are emerging interests in studying how disinformation campaigns form, spread, and influence target audiences, developing disinformation campaign corpora is challenging given the high volume, fast evolution, and wide variation of messages associated with each campaign. Disinformation cannot always be captured by simple factchecking, which makes it even more challenging to validate and create ground truth. This paper presents our approach to develop a corpus for studying disinformation campaigns targeting the White Helmets of Syria. We bypass directly classifying a piece of information as disinformation or not. Instead, we label the narrative and stance of tweets and YouTube comments about White Helmets. Narratives is defined as a recurring statement that is used to express a point of view. Stance is a high-level point of view on a topic. We demonstrate that narrative and stance together can provide a dynamic method for real world users, e.g., intelligence analysts, to quickly identify and counter disinformation campaigns based on their knowledge at the time.",
language = "English",
ISBN = "979-10-95546-39-9",
}
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<abstract>Disinformation on social media is impacting our personal life and society. The outbreak of the new coronavirus is the most recent example for which a wealth of disinformation provoked fear, hate, and even social panic. While there are emerging interests in studying how disinformation campaigns form, spread, and influence target audiences, developing disinformation campaign corpora is challenging given the high volume, fast evolution, and wide variation of messages associated with each campaign. Disinformation cannot always be captured by simple factchecking, which makes it even more challenging to validate and create ground truth. This paper presents our approach to develop a corpus for studying disinformation campaigns targeting the White Helmets of Syria. We bypass directly classifying a piece of information as disinformation or not. Instead, we label the narrative and stance of tweets and YouTube comments about White Helmets. Narratives is defined as a recurring statement that is used to express a point of view. Stance is a high-level point of view on a topic. We demonstrate that narrative and stance together can provide a dynamic method for real world users, e.g., intelligence analysts, to quickly identify and counter disinformation campaigns based on their knowledge at the time.</abstract>
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%0 Conference Proceedings
%T Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach
%A Blackburn, Mack
%A Yu, Ning
%A Berrie, John
%A Gordon, Brian
%A Longfellow, David
%A Tirrell, William
%A Williams, Mark
%Y Bhatia, Archna
%Y Shaikh, Samira
%S Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-39-9
%G English
%F blackburn-etal-2020-corpus
%X Disinformation on social media is impacting our personal life and society. The outbreak of the new coronavirus is the most recent example for which a wealth of disinformation provoked fear, hate, and even social panic. While there are emerging interests in studying how disinformation campaigns form, spread, and influence target audiences, developing disinformation campaign corpora is challenging given the high volume, fast evolution, and wide variation of messages associated with each campaign. Disinformation cannot always be captured by simple factchecking, which makes it even more challenging to validate and create ground truth. This paper presents our approach to develop a corpus for studying disinformation campaigns targeting the White Helmets of Syria. We bypass directly classifying a piece of information as disinformation or not. Instead, we label the narrative and stance of tweets and YouTube comments about White Helmets. Narratives is defined as a recurring statement that is used to express a point of view. Stance is a high-level point of view on a topic. We demonstrate that narrative and stance together can provide a dynamic method for real world users, e.g., intelligence analysts, to quickly identify and counter disinformation campaigns based on their knowledge at the time.
%U https://aclanthology.org/2020.stoc-1.7
%P 41-47
Markdown (Informal)
[Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach](https://aclanthology.org/2020.stoc-1.7) (Blackburn et al., STOC 2020)
ACL