Twitter User Profiles with Behavioral Features for Fake Profile Detection

3,351 Twitter user profiles with account information and behavioral features were collected via the Twitter API. The dataset was created by author nahiar for social media analysis and fake profile detection research. It was last updated on the platform in July 2025.

Use Cases

• Detect fake or bot accounts based on user profile characteristics and activity patterns.
• Analyze Twitter user behavior and engagement patterns using the 38 described features.
• Train classifiers for social media account authenticity verification.
• Study the relationship between profile configuration details and account legitimacy.

Strengths

• Contains 3,351 distinct user profiles, providing a substantive sample size.
• Includes 38 features per profile, suggesting a detailed feature set for analysis.
• Explicitly designed for a concrete research purpose: fake profile detection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The original collection date and time range of the Twitter data are unknown.

Provenance

Source

Twitter API

Collection Method

Originally collected for social media analysis and fake profile detection research.

Time Range

null

Freshness

Last updated 2025-07-29 06:06:39; freshness should be verified.

Geography

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