The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Follow the green: growth and dynamics in twitter follower markets
Open accessAbstract
The users of microblogging services, such as Twitter, use the count of followers of an account as a measure of its reputation or influence. For those unwilling or unable to attract followers naturally, a growing industry of "Twitter follower markets" provides followers for sale. Some markets use fake accounts to boost the follower count of their customers, while others rely on a pyramid scheme to turn non-paying customers into followers for each other, and into followers for paying customers. In this paper, we present a detailed study of Twitter follower markets, report in detail on both the static and dynamic properties of customers of these markets, and develop and evaluate multiple techniques for detecting these activities. We show that our detection system is robust and reliable, and can detect a significant number of customers in the wild.
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Cites
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BackgroundSelf-citation
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Fame for sale: Efficient detection of fake Twitter followers
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Metadata
- Authors
- Stringhini, G., Wang, G., Egele, M., Kruegel, C., Vigna, G., Zheng, H., & Zhao, B. Y.
- Affiliations
- University of California, Santa Barbara (US)
- Carnegie Mellon University (US)
- University of California, Santa Barbara, Santa Barbara, CA, USA
- Venue
- Proceedings of the 2013 conference on Internet measurement conference
- Publisher
- ACM
- Published
- 2013-10-23
- Pages
- 163-176
- OpenAlex
- W2011366667
- Cited by
- 169
- References
- 30
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 10 · 2023: 5 · 2022: 5 · 2021: 11 · 2020: 14 · 2019: 12 · 2018: 28 · 2017: 22 · 2016: 18 · 2015: 24 · 2014: 14 · 2013: 1
- FWCI
- 12.73
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM Internet Measurement Conference (IMC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Law › Cybercrime and Law Enforcement Studies
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- fake accounts, pyramid schemes, social media influence, fraud detection, microblogging
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