On the public citation graph
MisRoBÆRTa: Transformers versus Misinformation
0 signed · 122 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.
1 of the 52 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.earlhumdev.2020.105256 (notice 2021-03-31).
Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/pra2.2015.145052010082openalex-snapshot
Automatic deception detection: Methods for finding fake news
inferredcites →https://doi.org/10.1007/978-3-030-29563-9_17openalex-snapshot
A Two-Stage Model Based on BERT for Short Fake News Detection
inferredcites →https://doi.org/10.1007/978-3-030-57805-3_23openalex-snapshot
Application of the BERT-Based Architecture in Fake News Detection
inferredcites →https://doi.org/10.1007/978-3-030-73696-5_18openalex-snapshot
Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
inferredcites →https://doi.org/10.1007/s00779-019-01289-yopenalex-snapshot
Multi-level word features based on CNN for fake news detection in cultural communication
inferredcites →https://doi.org/10.1007/s11042-020-10183-2openalex-snapshot
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
inferredcites →https://doi.org/10.1016/j.asoc.2021.107600openalex-snapshot
Attention-based C-BiLSTM for fake news detection
inferredcites →https://doi.org/10.1016/j.cogsys.2019.12.005openalex-snapshot
FNDNet – A deep convolutional neural network for fake news detection
inferredcites →https://doi.org/10.1016/j.earlhumdev.2020.105256openalex-snapshot
WITHDRAWN: COVID-19, its novel vaccination and fake news – What a brew
inferredcites →https://doi.org/10.1016/j.eswa.2019.03.036openalex-snapshot
Behind the cues: A benchmarking study for fake news detection
inferredcites →https://doi.org/10.1016/j.mlwa.2021.100032openalex-snapshot
A benchmark study of machine learning models for online fake news detection
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.052openalex-snapshot
Improving text classification with weighted word embeddings via a multi-channel TextCNN model
inferredcites →https://doi.org/10.1038/s41467-018-07761-2openalex-snapshot
Influence of fake news in Twitter during the 2016 US presidential election
inferredcites →https://doi.org/10.1109/access.2021.3132502openalex-snapshot
Context-Aware Misinformation Detection: A Benchmark of Deep Learning Architectures Using Word Embeddings
inferredcites →https://doi.org/10.1109/asru.2011.6163899openalex-snapshot
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
inferredcites →https://doi.org/10.1109/focs.2012.49openalex-snapshot
Learning Topic Models -- Going beyond SVD
inferredcites →https://doi.org/10.1109/iccp51029.2020.9266181openalex-snapshot
Sentiment Analysis using Topic-Document Embeddings
inferredcites →https://doi.org/10.1109/icdm.2018.00062openalex-snapshot
Deep Headline Generation for Clickbait Detection
inferredcites →https://doi.org/10.1109/icmla51294.2020.00127openalex-snapshot
Towards Machine Learning Explainability in Text Classification for Fake News Detection
inferredcites →https://doi.org/10.1109/mipr.2018.00093openalex-snapshot
Media-Rich Fake News Detection: A Survey
inferredcites →https://doi.org/10.1145/3366424.3382706openalex-snapshot
FakeFinder: Twitter Fake News Detection on Mobile
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.332openalex-snapshot
That is a Known Lie: Detecting Previously Fact-Checked Claims
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot
Unsupervised Cross-lingual Representation Learning at Scale
inferredcites →https://doi.org/10.18653/v1/2020.alw-1.21openalex-snapshot
Identifying and Measuring Annotator Bias Based on Annotators’ Demographic Characteristics
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.6openalex-snapshot
Transformers: State-of-the-Art Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.188openalex-snapshot
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
inferredcites →https://doi.org/10.18653/v1/d19-1107openalex-snapshot
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n19-1079openalex-snapshot
Better Modeling of Incomplete Annotations for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3390/app9194062openalex-snapshot
exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)
inferredcites →https://doi.org/10.3390/ijerph18020744openalex-snapshot
COVID-19, Fake News, and Vaccines: Should Regulation Be Implemented?
inferredcites →https://doi.org/10.3390/math9212722openalex-snapshot
Topic-Based Document-Level Sentiment Analysis Using Contextual Cues
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/lipics.ecrts.2023.7openalex-snapshot
Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)
inferredcites →https://doi.org/10.4230/lipics.esem.2026.22openalex-snapshot
Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Task
inferredcites →https://doi.org/10.4230/tgdk.3.3.5openalex-snapshot
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1901.07291openalex-snapshot
Cross-lingual Language Model Pretraining
inferredcites →https://doi.org/10.48550/arxiv.1906.08237openalex-snapshot
XLNet: Generalized Autoregressive Pretraining for Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.1909.11942openalex-snapshot
ALBERT-Base v2 (albert_base_v2.tar.gz): preservation copy
inferredcites →https://doi.org/10.48550/arxiv.2006.03654openalex-snapshot
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-04354-2_10openalex-snapshot
Language-Based Mixture of Transformers for Sexism Identification in Social Networks
inferred← citeshttps://doi.org/10.1007/s10115-024-02321-1openalex-snapshot
Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data
inferred← citeshttps://doi.org/10.1007/s10115-025-02400-xopenalex-snapshot
CREDIFY: contextualized retrieval of evidence for open-domain fact verification
inferred← citeshttps://doi.org/10.1007/s10115-025-02558-4openalex-snapshot
EnsembleNet: a novel deep ensemble learning model with GANBERT and BiLSTM for automated fake news detection
inferred← citeshttps://doi.org/10.1007/s10115-026-02814-1openalex-snapshot
A weakly supervised SMOTE-XGBoost framework with sliding-window monitoring for temporal sentiment drift detection
inferred← citeshttps://doi.org/10.1007/s10791-025-09864-zopenalex-snapshot
Disinformation detection technology: a survey
inferred← citeshttps://doi.org/10.1007/s12083-025-02047-zopenalex-snapshot
Encoder only attention-guided transformer framework for accurate and explainable social media fake profile detection
inferred← citeshttps://doi.org/10.1007/s13042-026-03289-wopenalex-snapshot
A Deployed Custom Fine-tuned Transformer Language Model Framework for Indian Fake News Detection
inferred← citeshttps://doi.org/10.1007/s40747-023-01098-0openalex-snapshot
Fake news detection based on a hybrid BERT and LightGBM models
inferred← citeshttps://doi.org/10.1007/s41870-025-02988-xopenalex-snapshot
TRUE-Net: dual-generator blending and Bayesian confidence estimation for trustworthy information authenticity
inferred← citeshttps://doi.org/10.1007/s42001-025-00403-wopenalex-snapshot
Detecting misinformation through framing theory: the frame element-based model
inferred← citeshttps://doi.org/10.1007/s42044-025-00339-4openalex-snapshot
Claim classification and BERT-based open information extraction from short news headlines
inferred← citeshttps://doi.org/10.1007/s42452-025-07548-3openalex-snapshot
Exploring machine learning for fake news detection: techniques, tools, challenges, and future research directions
inferred← citeshttps://doi.org/10.1007/s44163-026-01467-xopenalex-snapshot
Fake news and polarization detection on social media posts through topic modeling and text mining
inferred← citeshttps://doi.org/10.1007/s44196-026-01192-4openalex-snapshot
DEFT-Net: Explainable Deepfake Text Detection for Combating Information Disorder in the Age of Generative AI
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109944openalex-snapshot
A novel integration of multiple learning methods for detecting misleading information from different datasets during the pandemic
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111895openalex-snapshot
Dual Stimulus–Organism–Response paradigms cross-domain aware model for rumor detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126984openalex-snapshot
GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for fake news detection
inferred← citeshttps://doi.org/10.1016/j.jestch.2024.101728openalex-snapshot
CONTAIN: A community-based algorithm for network immunization
inferred← citeshttps://doi.org/10.1016/j.jjimei.2025.100347openalex-snapshot
MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111715openalex-snapshot
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115664openalex-snapshot
GAAC:A robust misinformation detection framework via graph attention and adaptive contrastive learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116746openalex-snapshot
MeshShield: Counteractive network immunization via spectral graph analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132522openalex-snapshot
Overcoming structural and similarity barriers: Graph neural network-based contextual reasoning for detecting incongruent and partially misleading news
inferred← citeshttps://doi.org/10.1038/s41598-025-10661-3openalex-snapshot
Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach
inferred← citeshttps://doi.org/10.1038/s41598-025-31653-3openalex-snapshot
Graph-augmented transformer ensemble framework for robust and scalable fake news detection in social media ecosystems
inferred← citeshttps://doi.org/10.1038/s41598-025-89453-8openalex-snapshot
High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm
inferred← citeshttps://doi.org/10.1038/s41598-025-98271-xopenalex-snapshot
Benchmarking Hook and Bait Urdu news dataset for domain-agnostic and multilingual fake news detection using large language models
inferred← citeshttps://doi.org/10.1049/ise2/6068177openalex-snapshot
Topic Words‐Based Multilingual Hateful Linguistic Resources Construction for Developing Multilingual Hateful Content Detection Model Using Deep Learning Technique
inferred← citeshttps://doi.org/10.1080/0144929x.2024.2326562openalex-snapshot
A majority-based learning system for detecting misinformation
inferred← citeshttps://doi.org/10.1080/10447318.2024.2369426openalex-snapshot
RETRACTED ARTICLE: Modelling the Association Between Social Media Flow Experience and Fake News Sharing: Testing the Mediating Role of Social Media Flow Experience and the Moderating Role of Social Media Scepticism
inferred← citeshttps://doi.org/10.1080/10447318.2025.2524493openalex-snapshot
Enhancing Trust or Fostering Misjudgment? Assessing the Impact of Emerging Geographic Information Displays on Social Media Users’ Information Trust
inferred← citeshttps://doi.org/10.1080/19393555.2024.2378747openalex-snapshot
SIFG: an ensemble model for sieving fake news from genuine without metadata by combining syntactic and semantic features
inferred← citeshttps://doi.org/10.1109/access.2023.3331220openalex-snapshot
MCWDST: A Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
inferred← citeshttps://doi.org/10.1109/acoit66109.2025.11436349openalex-snapshot
An Accessible Explainable AI Extension for Fake News Detection
inferred← citeshttps://doi.org/10.1109/aectsd65988.2025.11411161openalex-snapshot
HybridTrust: Fusing LP-GRU and Transformer Architectures for Enhanced Misinformation Detection in Social Networks
inferred← citeshttps://doi.org/10.1109/avss65446.2025.11149887openalex-snapshot
Transformer-Based Hybrid Model for Robust Abusive Content Detection in Online Social Networks (OSNs)
inferred← citeshttps://doi.org/10.1109/dsit55514.2022.9943904openalex-snapshot
COVMIS: A Dataset for Research on COVID-19 Misinformation
inferred← citeshttps://doi.org/10.1109/iccp63557.2024.10793051openalex-snapshot
STopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms
inferred← citeshttps://doi.org/10.1109/iccp68926.2025.11427180openalex-snapshot
HarmLLaMA: Harmful Language Detection with Large Language Models
inferred← citeshttps://doi.org/10.1109/icetecc65365.2025.11070301openalex-snapshot
Optimized Deep Learning Hybrid Framework for Robust Detection of Fake News on Twitter (now X)
inferred← citeshttps://doi.org/10.1109/mis.2026.3661002openalex-snapshot
Cross-Domain Analysis of Fake News Detection With Explainable Transformers
inferred← citeshttps://doi.org/10.1109/roedunet68395.2025.11208267openalex-snapshot
VERIT-ALBERT: A Finetuned LLM Approach for Verifying Information Credibility
inferred← citeshttps://doi.org/10.1109/taffc.2024.3434355openalex-snapshot
EDSA-Ensemble: An Event Detection Sentiment Analysis Ensemble Architecture
inferred← citeshttps://doi.org/10.1109/tcss.2025.3599119openalex-snapshot
Propagation Motifs as Codewords for Fake News Detection
inferred← citeshttps://doi.org/10.1109/tcss.2025.3622696openalex-snapshot
Contrastive Token-Level Explanations for Graph-Based Rumor Detection
inferred← citeshttps://doi.org/10.1109/tcss.2025.3623667openalex-snapshot
From Headlines and News to Truth: Leveraging LLMs With Cascade Classification and Prompt Tuning for Incongruent News Detection
inferred← citeshttps://doi.org/10.1109/tifs.2025.3637696openalex-snapshot
Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection
inferred← citeshttps://doi.org/10.1109/tkde.2024.3417232openalex-snapshot
ContCommRTD: A Distributed Content-Based Misinformation-Aware Community Detection System for Real-Time Disaster Reporting
inferred← citeshttps://doi.org/10.1109/tkde.2025.3650588openalex-snapshot
Detecting Misinformation by Uncovering Commonsense Conflicts With LLM Workflows
inferred← citeshttps://doi.org/10.1109/tkde.2026.3673065openalex-snapshot
Contrastive Fidelity-Maximised Explanations for Graph-Based Rumour Detection
inferred← citeshttps://doi.org/10.1109/tpami.2025.3642831openalex-snapshot
Unveiling Fine-Grained Deceptive Patterns in Multimodal Fake News: An Explainable Neuro-Symbolic Framework With LVLMs
inferred← citeshttps://doi.org/10.1109/tsp.2025.3527755openalex-snapshot
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models
inferred← citeshttps://doi.org/10.1145/3748239.3748243openalex-snapshot
Is Less Really More? Fake News Detection with Limited Information
inferred← citeshttps://doi.org/10.1145/3789258openalex-snapshot
Breaking Bias: A Context-Aware Multimodal Framework for Detecting and Neutralizing Ideological Bias in News
inferred← citeshttps://doi.org/10.1145/3798302openalex-snapshot
Detecting Fake News in Bangla Using Linguistic and Psychological Features
inferred← citeshttps://doi.org/10.1145/3812649openalex-snapshot
Misinformation Unlearning for Responsible Content Recommendation
inferred← citeshttps://doi.org/10.1177/01655515261467993openalex-snapshot
Early detection effectiveness of fake news/information disorder classifiers using target-based emotions and stances on evolving social networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0305362openalex-snapshot
Building a framework for fake news detection in the health domain
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.656openalex-snapshot
Identifying Conspiracy Theories News based on Event Relation Graph
inferred← citeshttps://doi.org/10.22214/ijraset.2025.71831openalex-snapshot
The Role of AI in Social Media Misinformation: Strategies and Impacts
inferred← citeshttps://doi.org/10.3390/app12136402openalex-snapshot
Fake Sentence Detection Based on Transfer Learning: Applying to Korean COVID-19 Fake News
inferred← citeshttps://doi.org/10.3390/bdcc8080093openalex-snapshot
BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation
inferred← citeshttps://doi.org/10.3390/electronics13234784openalex-snapshot
Comparative Analysis of Graph Neural Networks and Transformers for Robust Fake News Detection: A Verification and Reimplementation Study
inferred← citeshttps://doi.org/10.3390/info13110527openalex-snapshot
A Systematic Literature Review and Meta-Analysis of Studies on Online Fake News Detection
inferred← citeshttps://doi.org/10.3390/info15010060openalex-snapshot
Mapping the Landscape of Misinformation Detection: A Bibliometric Approach
inferred← citeshttps://doi.org/10.3390/math11030508openalex-snapshot
It’s All in the Embedding! Fake News Detection Using Document Embeddings
inferred← citeshttps://doi.org/10.3390/math12203294openalex-snapshot
An Efficient Fusion Network for Fake News Classification
inferred← citeshttps://doi.org/10.3390/systems11090458openalex-snapshot
Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice
inferred← citeshttps://doi.org/10.62301/usmtd.1698904openalex-snapshot
LSTM VE BERT MODELLERİ İLE SAHTE HABER TESPİTİ
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.