Too Little, Too Late: Moderation of Misinformation around the Russo-Ukrainian Conflict

In this study, we examine the role of Twitter as a first line of defense against misinformation by tracking the public engagement with, and the platform's response to, 500 tweets concerning the Russo-Ukrainian conflict which were identified as misinformation.Using a real-time sample of 543 475 of their retweets, we find that users who geolocate themselves in the U.S. both produce and consume the largest portion of misinformation, however accounts claiming to be in Ukraine are the second largest source.At the time of writing, 84% of these tweets were still available on the platform, especially those having an anti-Russia narrative.For those that did receive some sanctions, the retweeting rate has already stabilized, pointing to ineffectiveness of the measures to stem their spread.These findings point to the need for a change in the existing antimisinformation system ecosystem.We propose several design and research guidelines for its possible improvement.

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Publication Details

Published
2025-05-19
DOI
https://doi.org/10.1145/3717867.3717876
Citations
4
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
16.81
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article

Too Little, Too Late: Moderation of Misinformation around the Russo-Ukrainian Conflict

Yelena Mejova, Gautam Kishore Shahi
4 citations
Misinformation and Its Impacts
16.81
article

Too Little, Too Late: Moderation of Misinformation around the Russo-Ukrainian Conflict

Yelena Mejova, Gautam Kishore Shahi
article en
4 citations

Abstract

In this study, we examine the role of Twitter as a first line of defense against misinformation by tracking the public engagement with, and the platform's response to, 500 tweets concerning the Russo-Ukrainian conflict which were identified as misinformation.Using a real-time sample of 543 475 of their retweets, we find that users who geolocate themselves in the U.S. both produce and consume the largest portion of misinformation, however accounts claiming to be in Ukraine are the second largest source.At the time of writing, 84% of these tweets were still available on the platform, especially those having an anti-Russia narrative.For those that did receive some sanctions, the retweeting rate has already stabilized, pointing to ineffectiveness of the measures to stem their spread.These findings point to the need for a change in the existing antimisinformation system ecosystem.We propose several design and research guidelines for its possible improvement.

Institute for Scientific Interchange (IT), University of Duisburg-Essen (DE)
Reduced inequalities
Openalex Percentile: Top 1%
Misinformation and Its Impacts
16.81
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