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Dataset

TikTok & Instagram Addiction Dataset (2015–2060)

Name: TikTok & Instagram Addiction Dataset (2015–2060)
Creator: abdulmaliklodhra
License: CC BY-NC-SA 4.0

by abdulmaliklodhra abdulmaliklodhra/tiktok-and-instagram-addiction-dataset-20152060

Free2AITools Nexus Index

42.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49

P: Popularity 29

R: Recency 72

Q: Quality 30

Tech Context

Vital Performance —

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Data Integrity 42.4 FNI Score

- Size

- Rows

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Dataset Information Summary
Entity Passport
Registry ID	abdulmaliklodhra/tiktok-and-instagram-addiction-dataset-20152060
License	CC BY-NC-SA 4.0
Provider	kaggle

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Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset_abdulmaliklodhra_tiktok_and_instagram_addiction_dataset_20152060,
  author = {abdulmaliklodhra},
  title = {TikTok & Instagram Addiction Dataset (2015–2060) Dataset},
  year = {2026},
  howpublished = {\url{https://www.kaggle.com/datasets/abdulmaliklodhra/tiktok-and-instagram-addiction-dataset-20152060}},
  note = {Accessed via Free2AITools.}
}

APA Style

abdulmaliklodhra. (2026). TikTok & Instagram Addiction Dataset (2015–2060) [Dataset]. Free2AITools. https://www.kaggle.com/datasets/abdulmaliklodhra/tiktok-and-instagram-addiction-dataset-20152060

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 49

Popularity (P) 29

Recency (R) 72

Quality (Q) 30

💬 Index Insight

FNI V2.0 for TikTok & Instagram Addiction Dataset (2015–2060): Authority (A:49), Popularity (P:29), Recency (R:72), Quality (Q:30). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Downloads

1,407

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Dataset Specification

Global Trends in Attention Span , Digital Wellbeing & Mental Health Intelligence

Social Proof

HuggingFace Hub

1.4KDownloads

Hub Discussions

📊 Data Source: Kaggle ↗

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Source summary: Based on Kaggle metadata. Not a recommendation.

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🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--abdulmaliklodhra--tiktok-and-instagram-addiction-dataset-20152060
slug: abdulmaliklodhra--tiktok-and-instagram-addiction-dataset-20152060
source: kaggle
author: abdulmaliklodhra
license: CC BY-NC-SA 4.0
tags: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 1,407
stars: null
forks: null

Data indexed from public sources. Updated daily.