Characterization of Tweet Deletion Patterns in the Context of COVID-19 Discourse and Polarization
Social media platforms like Twitter (now X) serve as vital arenas for public discourse but are marked by high content volatility, particularly due to tweet deletions.- doi
- 10.1145/3720553.3746663
- isbn
- 979-8-4007-1534-1
- name
- Characterization of Tweet Deletion Patterns in the Context of COVID-19 Discourse and Polarization
- pages
- 43–47
- source
- publisher-bits-xml
- acm_url
- https://dl.acm.org/doi/10.1145/3720553.3746663
- authors
- Muhammad Taimoor Khan, Dimitar Dimitrov, Stefan Dietze
- doi_url
- https://doi.org/10.1145/3720553.3746663
- license
- © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- summary
- Social media platforms like Twitter (now X) serve as vital arenas for public discourse but are marked by high content volatility, particularly due to tweet deletions.
- keywords
- tweet deletion, discourse analysis, COVID-19, online polarization
- published
- 2025-09-15
- conference
- HT '25: 36th ACM Conference on Hypertext and Social Media, Chicago, IL, USA, September 15-19, 2025
- open_access
- false
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3720553.3746663
- ccs_concepts
- Human-centered computing~Social content sharing; Human-centered computing~Social engineering (social sciences)
- displayAuthor
- Muhammad Taimoor Khan, Dimitar Dimitrov, Stefan Dietze
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3720553
- displayPublishTime
- 2025-09-15
- acm_reference_format
- (empty)
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