Transparency in Messengers - A Metadata Analysis Based on the Example of Telegram
A short paper deriving privacy-friendly metadata key figures from 770 German disinformation-related Telegram channels and groups, finding that channels drive information spread while group-originated posts are never forwarded.- doi
- 10.1145/3603163.3609034
- isbn
- 979-8-4007-0232-7
- name
- Transparency in Messengers - A Metadata Analysis Based on the Example of Telegram
- source
- acm_url
- https://dl.acm.org/doi/10.1145/3603163.3609034
- authors
- Karla Schäfer, Jeong-Eun Choi
- doi_url
- https://doi.org/10.1145/3603163.3609034
- license
- © Copyright held by the owner/author(s).
- summary
- A short paper deriving privacy-friendly metadata key figures from 770 German disinformation-related Telegram channels and groups, finding that channels drive information spread while group-originated posts are never forwarded.
- published
- 2023-09-04
- conference
- HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
- open_access
- false
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3603163.3609034
- displayAuthor
- Karla Schäfer and Jeong-Eun Choi (Fraunhofer Institute for Secure Information Technology SIT | ATHENE - National Research Center for Applied Cybersecurity, Darmstadt, Germany)
- displayPublishTime
- 2023-09-04
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