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Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach [article]

Qiang Liu, Feng Yu, Shu Wu, Liang Wang
2017 arXiv   pre-print
In this paper, we propose an Attention-based approach for Identification of Misinformation (AIM).  ...  Thus, it is important to mine significant microblogs for a reliable misinformation identification method.  ...  Accordingly, the attention mechanism is naturally suitable for misinformation early detection. In this work, we propose an Attention-based approach for Identification of Misinformation (AIM).  ... 
arXiv:1706.06314v1 fatcat:arpfdxdaarbnhgdmftic67f3gm

A Convolutional Approach for Misinformation Identification

Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
In this paper, we propose a novel method, Convolutional Approach for Misinformation Identification (CAMI) based on Convolutional Neural Network (CNN).  ...  CAMI can flexibly extract key features scattered among an input sequence and shape high-level interactions among significant features, which help effectively identify misinformation and achieve practical  ...  We propose a CAMI model for misinformation identification and early detection tasks.  ... 
doi:10.24963/ijcai.2017/545 dblp:conf/ijcai/YuLWWT17 fatcat:mxvkbz55yjazjdvvck4js5y6au

Fake news identification

Peter Racsko
2021 Society and Economy  
There are quite a few methods employed for the discrimination of fake and valid information, but none of them is perfect.  ...  This approach is also employed for the identification of fake information in microblogs.  ...  The Pheme project uses an interdisciplinary approach, including NLP, text mining, web science, analysis of social networks, and visualization.  ... 
doi:10.1556/204.2021.00020 fatcat:goexzha7krb2je2uzu6s54lroi

A Survey on Stance Detection for Mis- and Disinformation Identification [article]

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2022 arXiv   pre-print
Understanding attitudes expressed in texts, also known as stance detection, plays an important role in systems for detecting false information online, be it misinformation (unintentionally false) or disinformation  ...  While there have been prior efforts to contrast stance detection with other related tasks such as argumentation mining and sentiment analysis, there is no existing survey on examining the relationship  ...  Acknowledgements We would like to thank the anonymous reviewers for their useful feedback.  ... 
arXiv:2103.00242v3 fatcat:bc7tiy52rjfc5hmjupyywwcjs4

Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets

Han Luo, Meng Cai, Ying Cui, Chenquan Gan
2021 Security and Communication Networks  
This study adopts a deep learning method to perform content analysis and emotion analysis on misinformation dataset and true information dataset and adopts an analytic network process to analyze the differences  ...  In the study, we took the misinformation spread on social media as the research object and compared it with true information to better understand the characteristics of the spread of misinformation in  ...  However, in the sentiment analysis based on the sentence types of social media platforms, the approach based on sentiment dictionaries often has an impact on the final sentiment classification results  ... 
doi:10.1155/2021/7999760 fatcat:4rcctfpxs5bhpdk2zh5yocgm7m

Deep learning for misinformation detection on online social networks: a survey and new perspectives

Md Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu
2020 Social Network Analysis and Mining  
Therefore, misinformation detection (MID) in social networks has gained a great deal of attention and is considered an emerging area of research interest.  ...  We further show that DL is an effective and scalable technique for the state-of-the-art MID.  ...  The development of machine learning (ML) and DL techniques have attracted significant attention for different Islam et al. 2019) .  ... 
doi:10.1007/s13278-020-00696-x pmid:33014173 pmcid:PMC7524036 fatcat:473ziygl7jffbhwvpav3hlmppu

Socio-Technical Mitigation Effort to Combat Cyber Propaganda: A Systematic Literature Mapping

Aimi Nadrah Maseri, Azah Anir Norman, Christopher Ifeanyi Eke, Atif Ahmad, Nurul Nuha Abdul Molok
2020 IEEE Access  
technological approaches (socio-technical) for mitigation.  ...  The authors also identified various mitigation socio-technical approaches such as identification, detection, image recognition, prediction, truth discovery and comprehension of rumours flow.  ...  For instance, Ma et al. [30] , in their study on a novel approach for automatic identification of rumour in Microblog website, utilized Twitter and Sina Weibo dataset.  ... 
doi:10.1109/access.2020.2994658 fatcat:cvmaygf7ffewfo76ofosye7quq

Social Media based Surveillance Systems for Healthcare using Machine Learning: A Systematic Review

Aakansha Gupta, Rahul Katarya
2020 Journal of Biomedical Informatics  
Based on the corpus of 148 selected articles, the study finds the types of social media or web-based platforms used for surveillance in the healthcare domain, along with the health topic(s) studied by  ...  The papers were further reviewed based on the various machine learning algorithms used for analyzing health-related text posted on social media platforms.  ...  Some authors have explored other popular machine learning approaches for text mining, such as k-means [30, 35] , clustering [13] , etc. Dai X, Bikdash M and Meyer B.  ... 
doi:10.1016/j.jbi.2020.103500 pmid:32622833 pmcid:PMC7331523 fatcat:jfj34tsxkvhlhkwnna6fmgnvni

Chinese Public Attention to COVID-19 Epidemic: Based on Social Media (Preprint)

Yuxin Zhao, Sixiang Cheng, Xiaoyan Yu, Huilan Xu
2020 Journal of Medical Internet Research  
ROST CM6.0 (ROST Content Mining System Version 6.0) was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis.  ...  Our study found that social media (e.g., Sina Microblog) can be used to measure public attention to public health emergencies.  ...  Therefore, misinformation can be easily propagated and spread on social media.  ... 
doi:10.2196/18825 pmid:32314976 fatcat:puqqw5bnvfasxicjg5lm7qe4te

Challenges and Considerations with Code-Mixed NLP for Multilingual Societies [article]

Vivek Srivastava, Mayank Singh
2021 arXiv   pre-print
, fake news, and hate speech for multilingual societies.  ...  As a representative example, we consider English-Hindi code-mixing but draw similar inferences for other language pairs  ...  Deterrent: Knowledge guided graph attention network for detecting healthcare misinformation.  ... 
arXiv:2106.07823v1 fatcat:7jkoetjwtbf3za36pjdwbcnzwq

Online Misinformation

Miriam Fernandez, Harith Alani
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
In this paper we analyse the phenomenon of misinformation from a technological point of view.  ...  Misinformation has become a common part of our digital media environments and it is compromising the ability of our societies to form informed opinions.  ...  Baoxu [61] follows a similar approach, but proposes a path mining approach over large-knowledge graphs (DBpedia 14 and SemMedDB 15 ) to leverage a collection of factual statements for automatic factchecking  ... 
doi:10.1145/3184558.3188730 dblp:conf/www/FernandezA18 fatcat:cw62kvcsovehdgdamywcbqpdny

Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19

Fan Fang, Tong Wang, Suoyi Tan, Saran Chen, Tao Zhou, Wei Zhang, Qiang Guo, Jianguo Liu, Petter Holme, Xin Lu
2022 Frontiers in Public Health  
The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental  ...  These results can provide data-driven insights into the development of public attention during extreme events.  ...  First, a significant limitation is the completeness and credibility of the dataset. Considering the freedom for users to delete posts, some deleted microblogs are missing.  ... 
doi:10.3389/fpubh.2021.813234 pmid:35087790 pmcid:PMC8787074 fatcat:srwippl7fvap5k3gwzj6aq4mxi

Stance Detection

Dilek Küçük, Fazli Can
2020 ACM Computing Surveys  
Stance detection is a recent natural language processing topic with diverse application areas, and our survey article on this newly emerging topic will act as a significant resource for interested researchers  ...  gained increasing impact and significance, revealed with large volumes of related scientific publications.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1145/3369026 fatcat:5fviqvi6o5by7p6pdfrgxub2vi

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization

Thirunavukarasu Balasubramaniam, Richi Nayak, Khanh Luong, Md. Abul Bashar
2021 Social Network Analysis and Mining  
Firstly, a novel ranking-based approach leveraging the scalable information retrieval infrastructure is applied to detect misinformation from a huge collection of unlabelled tweets based on a related but  ...  Social media platforms like Twitter have become an easy portal for billions of people to connect and exchange their thoughts.  ...  In the last few years, deep learning-based misinformation detection methods have attracted much attention Qian et al. 2018 ).  ... 
doi:10.1007/s13278-021-00767-7 pmid:34149960 pmcid:PMC8204930 fatcat:yahzuip34vb2rhieny3pj3w3zy

FMFN: Fine-Grained Multimodal Fusion Networks for Fake News Detection

Jingzi Wang, Hongyan Mao, Hongwei Li
2022 Applied Sciences  
In microblogs, tweets with both text and images are more likely to attract attention than text-only tweets.  ...  As one of the most popular social media platforms, microblogs are ideal places for news propagation.  ...  A convolutional approach for misinformation identification.  ... 
doi:10.3390/app12031093 fatcat:cow27irtirdnja5p7xxvssltr4
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