Digital Hangover: Short Video Addiction Data from a 14-Day Digital Twin Study
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Description
A 14-day longitudinal dataset tracking digital twin data related to short video addiction. The dataset is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The raw description indicates it is a 'Digital Twin dataset', suggesting it likely contains simulated or mirrored behavioral records.
Use Cases
Analyzing temporal patterns of short video platform usage (inferred from domain, verify after download)
Modeling behavioral addiction risk factors from longitudinal records (inferred from domain, verify after download)
Training classifiers to identify high-engagement user profiles (inferred from domain, verify after download)
Strengths
Published on the Kaggle platform.
Described as a longitudinal study spanning 14 days.
Limitations
Metadata is minimal; actual content requires verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license information are unknown.
Provenance
Source
Kaggle
Collection Method
Described as a 'Digital Twin dataset'; specific collection method is unknown.
Time Range
Covers a 14-day longitudinal period.
Freshness
Last updated date is unknown; freshness unverified.