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Paper

Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information

by Independent / Community 0134a5da8a52d0b37462499e53ac999f6aaadb4e

Free2AITools Nexus Index

68.3

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 83

P: Popularity 58

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Fake news, false or misleading information presented as news, has a significant impact on many aspects of society, such as in politics or healthcare domains. Due to the deceiving nature of fake news, applying Natural Language Processing (NLP) techniques to the news content alone is insufficient. Therefore, more information is required to improve fake news detection, such as the multi-level social context (news publishers and engaged users in social media) information and the temporal informat...

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Semantic Scholar 36 Citations

Paper Information Summary
Entity Passport
Registry ID	0134a5da8a52d0b37462499e53ac999f6aaadb4e
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0134a5da8a52d0b37462499e53ac999f6aaadb4e,
  author = {Unknown},
  title = {Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0134a5da8a52d0b37462499e53ac999f6aaadb4e}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information [Paper]. Free2AITools. https://api.semanticscholar.org/0134a5da8a52d0b37462499e53ac999f6aaadb4e

🔬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) 83

Popularity (P) 58

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information: Authority (A:83), Popularity (P:58), Recency (R:100), Quality (Q:65). 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

📝 Executive Summary

"Fake news, false or misleading information presented as news, has a significant impact on many aspects of society, such as in politics or healthcare domains. Due to the deceiving nature of fake news, applying Natural Language Processing (NLP) techniques to the news content alone is insufficient. Therefore, more information is required to improve fake news detection, such as the multi-level social context (news publishers and engaged users in social media) information and the temporal informat..."

❝ Cite Node

@article{Unknown2026Meta-Path-based,
  title={Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈36CitationsSemantic Scholar

🏛️83AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️knowledge retrievalField

📦Data Source: semantic_scholar

🔄 Updated daily

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

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🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

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

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 36

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