A Brief Survey for Fake News Detection via Deep Learning Models

[1]  P. Alphonse,et al.  Fake or real news about COVID-19? Pretrained transformer model to detect potential misleading news , 2022, The European physical journal. Special topics.

[2]  M. Choraś,et al.  New explainability method for BERT-based model in fake news detection , 2021, Scientific Reports.

[3]  James H. Jones,et al.  BERT Model for Fake News Detection Based on Social Bot Activities in the COVID-19 Pandemic , 2021, 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[4]  Paulo Márcio Souza Freire,et al.  Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning , 2021, Expert Syst. Appl..

[5]  Timen Stepisnik Perdih,et al.  Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles , 2021, Neurocomputing.

[6]  Larissa Deadame de Figueiredo Nicolete,et al.  The impact of fake news on social media and its influence on health during the COVID-19 pandemic: a systematic review , 2021, Journal of Public Health.

[7]  Jordana J. George,et al.  Uncovering the Truth about Fake News: A Research Model Grounded in Multi-Disciplinary Literature , 2021, J. Manag. Inf. Syst..

[8]  Nianwen Ning,et al.  Knowledge augmented transformer for adversarial multidomain multiclassification multimodal fake news detection , 2021, Neurocomputing.

[9]  Changsheng Xu,et al.  Hierarchical Multi-modal Contextual Attention Network for Fake News Detection , 2021, SIGIR.

[10]  Xiaojie Yuan,et al.  KAN: Knowledge-aware Attention Network for Fake News Detection , 2021, AAAI.

[11]  Lei Shi,et al.  Detecting fake news by exploring the consistency of multimodal data , 2021, Information Processing & Management.

[12]  Divyam Mehta,et al.  A transformer-based architecture for fake news classification , 2021, Soc. Netw. Anal. Min..

[13]  Bharathi Raja Chakravarthi,et al.  Evaluating Pretrained Transformer-based Models for COVID-19 Fake News Detection , 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

[14]  Felipe Almeida,et al.  Smartphones, Social Networks, and Fake News: Institutional Economics Approach to Decision Making in the Twenty-First Century , 2021, Journal of Economic Issues.

[15]  Iraklis Varlamis,et al.  Fake news detection: A hybrid CNN-RNN based deep learning approach , 2021, Int. J. Inf. Manag. Data Insights.

[16]  Rohit Kumar Kaliyar,et al.  FakeBERT: Fake news detection in social media with a BERT-based deep learning approach , 2021, Multim. Tools Appl..

[17]  David G. Rand,et al.  The Psychology of Fake News , 2021, Trends in Cognitive Sciences.

[18]  Yuxiang Ren,et al.  Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection , 2020, 2020 IEEE International Conference on Data Mining (ICDM).

[19]  Paolo Rosso,et al.  Multimodal Multi-image Fake News Detection , 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

[20]  Ponnurangam Kumaraguru,et al.  Automating fake news detection system using multi-level voting model , 2019, Soft Computing.

[21]  Vivek Kumar Singh,et al.  Detecting fake news stories via multimodal analysis , 2020, J. Assoc. Inf. Sci. Technol..

[22]  Mingxi Cheng,et al.  VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text , 2020, WWW.

[23]  Mohit Sharma,et al.  SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) , 2020, AAAI.

[24]  Hemant Kakkar,et al.  Of pandemics, politics, and personality: The role of conscientiousness and political ideology in the sharing of fake news. , 2020, Journal of experimental psychology. General.

[25]  R. Zafarani,et al.  SAFE: Similarity-Aware Multi-Modal Fake News Detection , 2020, PAKDD.

[26]  Wenbing Huang,et al.  Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks , 2020, AAAI.

[27]  Eduard Hovy,et al.  Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification , 2019, EMNLP.

[28]  Changsheng Xu,et al.  Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection , 2019, ACM Multimedia.

[29]  Qing Liao,et al.  Multi-depth Graph Convolutional Networks for Fake News Detection , 2019, NLPCC.

[30]  Francesco Marcelloni,et al.  A survey on fake news and rumour detection techniques , 2019, Inf. Sci..

[31]  Reza Zafarani,et al.  Fake News Research: Theories, Detection Strategies, and Open Problems , 2019, KDD.

[32]  Wei Gao,et al.  Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning , 2019, WWW.

[33]  Nikita,et al.  Fake News Detection Using Machine Learning approaches: A systematic Review , 2019, 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI).

[34]  Eslam Amer,et al.  Deep Learning Algorithms for Detecting Fake News in Online Text , 2018, 2018 13th International Conference on Computer Engineering and Systems (ICCES).

[35]  Jing Qian,et al.  A Survey on Natural Language Processing for Fake News Detection , 2018, LREC.

[36]  Jeff Z. Pan,et al.  Content Based Fake News Detection Using Knowledge Graphs , 2018, SEMWEB.

[37]  Jiliang Tang,et al.  Multi-Source Multi-Class Fake News Detection , 2018, COLING.

[38]  Fenglong Ma,et al.  EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection , 2018, KDD.

[39]  Deepayan Bhowmik,et al.  Fake News Identification on Twitter with Hybrid CNN and RNN Models , 2018, SMSociety.

[40]  Zhoujun Li,et al.  TI-CNN: Convolutional Neural Networks for Fake News Detection , 2018, ArXiv.

[41]  Wei Gao,et al.  Detect Rumor and Stance Jointly by Neural Multi-task Learning , 2018, WWW.

[42]  Pradeep K. Atrey,et al.  Media-Rich Fake News Detection: A Survey , 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

[43]  Xiaolong Li,et al.  GeniePath: Graph Neural Networks with Adaptive Receptive Paths , 2018, AAAI.

[44]  Huan Liu,et al.  Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate , 2018, WSDM.

[45]  Pietro Liò,et al.  Graph Attention Networks , 2017, ICLR.

[46]  Tom White,et al.  Generative Adversarial Networks: An Overview , 2017, IEEE Signal Processing Magazine.

[47]  Yongdong Zhang,et al.  Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs , 2017, ACM Multimedia.

[48]  Eunsol Choi,et al.  Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking , 2017, EMNLP.

[49]  Feng Yu,et al.  A Convolutional Approach for Misinformation Identification , 2017, IJCAI.

[50]  Suhang Wang,et al.  Fake News Detection on Social Media: A Data Mining Perspective , 2017, SKDD.

[51]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[52]  Jure Leskovec,et al.  Inductive Representation Learning on Large Graphs , 2017, NIPS.

[53]  Mykhailo Granik,et al.  Fake news detection using naive Bayes classifier , 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

[54]  Eugenio Tacchini,et al.  Some Like it Hoax: Automated Fake News Detection in Social Networks , 2017, ArXiv.

[55]  Max Welling,et al.  Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.

[56]  Wei Gao,et al.  Detecting Rumors from Microblogs with Recurrent Neural Networks , 2016, IJCAI.

[57]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[58]  Aaron C. Courville,et al.  Generative adversarial networks , 2014, Commun. ACM.

[59]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[60]  Kuldip K. Paliwal,et al.  Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..

[61]  Yue Ning,et al.  Incorporating Relational Knowledge in Explainable Fake News Detection , 2021, PAKDD.

[62]  Zhen Xu,et al.  Multimodal Fusion with Co-Attention Networks for Fake News Detection , 2021, FINDINGS.

[63]  Mohammadreza Samadi,et al.  Deep contextualized text representation and learning for fake news detection , 2021, Inf. Process. Manag..

[64]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.

[65]  Raj Kamal,et al.  Fake News Detection using Bi-directional LSTM-Recurrent Neural Network , 2019, Procedia Computer Science.