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.- doi
- 10.1145/3720553.3746682
- isbn
- 979-8-4007-1534-1
- name
- Web Archives for Verifying Attribution in Twitter Screenshots
- pages
- 91–99
- source
- BITS XML + supplied ACM PDF
- acm_url
- https://dl.acm.org/doi/10.1145/3720553.3746682
- authors
- Tarannum Zaki, Michael L. Nelson, Michele C. Weigle
- doi_url
- https://doi.org/10.1145/3720553.3746682
- license
- CC BY 4.0
- summary
- 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.
- keywords
- Twitter, misinformation, disinformation, screenshot, web archives
- arxiv_url
- https://arxiv.org/abs/2510.22939
- published
- 2025-09-15
- conference
- HT '25: 36th ACM Conference on Hypertext and Social Media, Chicago, IL, USA, September 15-19, 2025
- open_access
- true
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3720553.3746682
- ccs_concepts
- (empty)
- displayAuthor
- Tarannum Zaki, Michael L. Nelson, Michele C. Weigle
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3720553
- displayPublishTime
- 2025-09-15
- acm_reference_format
- (empty)
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