On the public citation graph

Fake News Detection System: An implementation of BERT and Boosting Algorithm

https://doi.org/10.29007/d931
0 signed · 20 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-73696-5_12openalex-snapshot
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
inferredcites →https://doi.org/10.1007/978-3-030-73696-5_8openalex-snapshot
Fake News and Hostile Posts Detection Using an Ensemble Learning Model
inferredcites →https://doi.org/10.1007/s00500-022-06773-xopenalex-snapshot
Machine learning for fake news classification with optimal feature selection
inferredcites →https://doi.org/10.1038/s41591-020-0820-9openalex-snapshot
The proximal origin of SARS-CoV-2
inferredcites →https://doi.org/10.1109/mitp.2019.2910503openalex-snapshot
Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News
inferredcites →https://doi.org/10.1109/ukrcon.2017.8100379openalex-snapshot
Fake news detection using naive Bayes classifier
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.148openalex-snapshot
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
inferredcites →https://doi.org/10.3389/fpsyg.2020.566790openalex-snapshot
Inoculating Against Fake News About COVID-19
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4269/ajtmh.20-0654openalex-snapshot
Threat of COVID-19 Vaccine Hesitancy in Pakistan: The Need for Measures to Neutralize Misleading Narratives
inferredcites →https://doi.org/10.48550/arxiv.1903.07581openalex-snapshot
MediaRank: Computational Ranking of Online News Sources
inferredcites →https://doi.org/10.48550/arxiv.2006.00885openalex-snapshot
CoAID: COVID-19 Healthcare Misinformation Dataset
inferredcites →https://doi.org/10.54060/jmss/002.01.005openalex-snapshot
Fake news Detection Using Naive Bayes Classifier

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4636666openalex-extracted
The Importance of Readability in the Discussions of Monkeypox Misinformation on Twitter
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103745openalex-snapshot
Boosting generalization of fine-tuning BERT for fake news detection
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401755openalex-snapshot
MCDAN: Multi-Modal Cross-Domain Adaptation Network for Fake News Detection
inferred← citeshttps://doi.org/10.1109/icisaa62385.2024.10828690openalex-snapshot
Harmful News Detection using BERT model through sentimental analysis
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter61682.2023.00066openalex-snapshot
Identification of Fake News in Low-Resource Language: A Deep Learning Approach
inferred← citeshttps://doi.org/10.22146/jnteti.v13i1.8532openalex-snapshot
Research and Analysis of IndoBERT Hyperparameter Tuning in Fake News Detection
inferred← citeshttps://doi.org/10.3390/bdcc8080093openalex-snapshot
BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.