Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets

,

[1]  Md. Shoaib Ahmed,et al.  Abusive Bangla comments detection on Facebook using transformer-based deep learning models , 2021, Social Network Analysis and Mining.

[2]  Humberto Torres Marques-Neto,et al.  Measuring the effects of repeated and diversified influence mechanism for information adoption on Twitter , 2021, Social Network Analysis and Mining.

[3]  Hyunchul Ahn,et al.  A link2vec-based fake news detection model using web search results , 2021, Expert Syst. Appl..

[4]  Dinesh Kumar Vishwakarma,et al.  HAN, image captioning, and forensics ensemble multimodal fake news detection , 2021, Information Sciences.

[5]  Carlo Morselli,et al.  Using social network analysis to study crime: Navigating the challenges of criminal justice records , 2021, Soc. Networks.

[6]  Sanket Mhatre,et al.  A Hybrid Method for Fake News Detection using Cosine Similarity Scores , 2021, 2021 International Conference on Communication information and Computing Technology (ICCICT).

[7]  Anindya Iqbal,et al.  A benchmark study of machine learning models for online fake news detection , 2021 .

[8]  Dr G Revathy , Et. al. Revelation of Diabetics by Inadequate Balanced SVM , 2021 .

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

[10]  B. Espinasse,et al.  Fake News Classification and Topic Modeling in Brazilian Portuguese , 2020, 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[11]  Hung-Yu Kao,et al.  Bidirectional Perspective with Topic Information for Stance Detection , 2020, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI).

[12]  Yin-Fu Huang,et al.  Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms , 2020, Expert Syst. Appl..

[13]  Lin Li,et al.  A Deep Learning Model for Early Detection of Fake News on Social Media* , 2020, 2020 7th International Conference on Behavioural and Social Computing (BESC).

[14]  Khobaib Zaamout,et al.  Corrections to "A Social Crowdsourcing Community Case Study: Interaction Patterns, Evolution, and Factors That Affect Them" , 2020, IEEE Trans. Comput. Soc. Syst..

[15]  Xianzhi Wang,et al.  Deep learning for misinformation detection on online social networks: a survey and new perspectives , 2020, Social Network Analysis and Mining.

[16]  Pramod K. Srivastava,et al.  Defensive Modeling of Fake News Through Online Social Networks , 2020, IEEE Transactions on Computational Social Systems.

[17]  Fake News Detection: A Survey of Techniques , 2020, Regular.

[18]  Fei Shen,et al.  Probabilistic Latent Semantic Analysis-Based Gear Fault Diagnosis Under Variable Working Conditions , 2020, IEEE Transactions on Instrumentation and Measurement.

[19]  Akihiko Ohsuga,et al.  Fake News Detection with Generated Comments for News Articles , 2020, 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES).

[20]  Jessie Pallud,et al.  Illusions of truth—Experimental insights into human and algorithmic detections of fake online reviews , 2020 .

[21]  Shakeel Ahmad,et al.  Opinion spam detection framework using hybrid classification scheme , 2019, Soft Computing.

[22]  Jiawei Zhang,et al.  Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention , 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

[23]  Hazem M. Hajj,et al.  State of the Art Models for Fake News Detection Tasks , 2020, 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT).

[24]  Piyush Kumar Shukla,et al.  Location Wise Opinion Mining of Real Time Twitter Data Using Hadoop to reduce Cyber Crimes , 2020, 2nd International Conference on Data, Engineering and Applications (IDEA).

[25]  Keng Hoon Gan,et al.  Fake News Detection Using Deep Learning , 2019, J. Inf. Process. Syst..

[26]  David Gil,et al.  A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making , 2019 .

[27]  Komal Dhingra,et al.  Spam analysis of big reviews dataset using Fuzzy Ranking Evaluation Algorithm and Hadoop , 2019, Int. J. Mach. Learn. Cybern..

[28]  Rohini K. Srihari,et al.  BREAKING! Presenting Fake News Corpus for Automated Fact Checking , 2019, ACL.

[29]  R.Priyanka,et al.  Fake News Detection Using Machine Learning , 2019, SSRN Electronic Journal.

[30]  Chong-kwon Kim,et al.  Distance-based customer detection in fake follower markets , 2019, Inf. Syst..

[31]  Arun Kumar Sangaiah,et al.  Twitter spam account detection based on clustering and classification methods , 2018, The Journal of Supercomputing.

[32]  Massimo Di Pierro,et al.  Automatic Online Fake News Detection Combining Content and Social Signals , 2018, 2018 22nd Conference of Open Innovations Association (FRUCT).

[33]  Cunchen Tang,et al.  Predicting Future Rumours , 2018 .

[34]  Yiannis Kompatsiaris,et al.  Detection and visualization of misleading content on Twitter , 2017, International Journal of Multimedia Information Retrieval.

[35]  Nam P. Nguyen,et al.  Contextual polarity and influence mining in online social networks , 2017, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

[36]  M. Gentzkow,et al.  Social Media and Fake News in the 2016 Election , 2017 .

[37]  Konstantin Beznosov,et al.  Íntegro: Leveraging victim prediction for robust fake account detection in large scale OSNs , 2016, Comput. Secur..

[38]  Jiulong Shan,et al.  Parallelization and Characterization of Probabilistic Latent Semantic Analysis , 2008, 2008 37th International Conference on Parallel Processing.

[39]  Ayman Farahat,et al.  Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis , 2006, EACL.

[40]  Thomas Hofmann,et al.  Probabilistic Latent Semantic Analysis , 1999, UAI.

[41]  Bernhard E. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[42]  Shengsheng Qian,et al.  Fake News Detection via Multi-Modal Topic Memory Network , 2021, IEEE Access.

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

[44]  Bin Wu,et al.  A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks , 2021, Inf. Process. Manag..

[45]  Giuseppe Sansonetti,et al.  Unreliable Users Detection in Social Media: Deep Learning Techniques for Automatic Detection , 2020, IEEE Access.

[46]  L. Alekya,et al.  A Survey On Fake News Detection In Social Media Using Deep Neural Networks , 2020 .

[47]  Kelly Stahl Fake news detection in social media , 2018 .

[48]  Adrian Iftene,et al.  Identifying Fake News and Fake Users on Twitter , 2018, KES.

[49]  Xiao Cai,et al.  Sentiment Analysis on Movie Reviews , 2014 .