Web Archives for Verifying Attribution in Twitter Screenshots

Screenshots of social media posts are a common approach for information sharing. Unfortunately, before sharing a screenshot, users rarely verify whether the attribution of the post is fake or real. There are numerous legitimate reasons to share screenshots. However, sharing screenshots of social media posts is also a vector for mis-/disinformation spread on social media. We are exploring methods to verify the attribution of a social media post shown in a screenshot, using resources found on the live web and in web archives. We focus on the use of web archives, since the attribution of non-deleted posts can be relatively easily verified using the live web. We show how information from a Twitter screenshot (Twitter handle, timestamp, and tweet text) can be extracted and used for locating potential archived tweets in the Internet Archive’s Wayback Machine. We evaluate our method on a dataset of 1,571 single tweet screenshots.

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Publication Details

Published
2025-08-26
DOI
https://doi.org/10.1145/3720553.3746682
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Web Archives for Verifying Attribution in Twitter Screenshots

Tarannum Zaki, Michael L. Nelson, Michele C. Weigle
Misinformation and Its Impacts
article

Web Archives for Verifying Attribution in Twitter Screenshots

Tarannum Zaki, Michael L. Nelson, Michele C. Weigle
article en

Abstract

Screenshots of social media posts are a common approach for information sharing. Unfortunately, before sharing a screenshot, users rarely verify whether the attribution of the post is fake or real. There are numerous legitimate reasons to share screenshots. However, sharing screenshots of social media posts is also a vector for mis-/disinformation spread on social media. We are exploring methods to verify the attribution of a social media post shown in a screenshot, using resources found on the live web and in web archives. We focus on the use of web archives, since the attribution of non-deleted posts can be relatively easily verified using the live web. We show how information from a Twitter screenshot (Twitter handle, timestamp, and tweet text) can be extracted and used for locating potential archived tweets in the Internet Archive’s Wayback Machine. We evaluate our method on a dataset of 1,571 single tweet screenshots.

Old Dominion University (US)
Openalex Percentile: Top 70%
Misinformation and Its Impacts
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