Detecting Spam in a Twitter Network
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Summary
This article examines spam around a one-time Twitter meme—“robotpickuplines” and shows the existence of structural network differences between spam accounts and legitimate users, highlighting challenges in disambiguating spammers from legitimate users.
- Type
- article
- Published
- 2009-12-30
- Cited by
- 383
- References
- 0
- Access
- Open access
- OpenAlex
- https://openalex.org/W2074835059
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:29419161
Keywords
Spambot, Spamming, Forum spam, Computer science, Internet privacy
References
No references recorded for this paper.
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- Propagation du buzz sur Internet - Identification, analyse, modélisation et représentation dans un contexte de veille. (Buzz lifecyle on the Web - Identification, analysis, modelization and representation in the context of strategic and competitive intelligence)
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- Study of Trend-Stuffing on Twitter through Text Classification
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- A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks
- Understanding Library User Engagement Strategies through Large-Scale Twitter Analysis
- Nepotistic relationships in Twitter and their impact on rank prestige algorithms
- Entropy-based Classification of 'Retweeting' Activity on Twitter
- Confounds and Consequences in Geotagged Twitter Data
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