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Detection and Resolution of Rumors and Misinformation with NLP

Leon Derczynski, Arkaitz Zubiaga
2020 Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts   unpublished
The field addresses problems at multiple different levels of misinformation detection: identifying check-worthy claims; tracking claims and rumors; rumor collection and annotation; grounding claims against  ...  Detecting and grounding false and misleading claims on the web has grown to form a substantial sub-field of NLP.  ...  Open access We agree to allow the publication of your slides and video recording of your tutorial in the ACL Anthology.  ... 
doi:10.18653/v1/2020.coling-tutorials.4 fatcat:5nz5mekjzbhhhl3lq2q4hiiuea

Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective

Qi Su, Mingyu Wan, Xiaoqian Liu, Chu-Ren Huang
2020 Natural Language Processing Research  
This paper discusses the main issues of misinformation and its detection with a comprehensive review on representative works in terms of detection methods, feature representations, evaluation metrics and  ...  Concerns over the problem are global and the impact is long-lasting. The past few decades have witnessed the critical role of misinformation detection in enhancing public trust and social stability.  ...  ACKNOWLEDGMENTS We are grateful to the anonymous reviewers for their valuable and constructional advices on the previous versions of this article; all remaining errors are our own.  ... 
doi:10.2991/nlpr.d.200522.001 fatcat:vwwspvaexbga3kn5mxtdo6ke6u

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

Vivek Srivastava, Mayank Singh
2021 arXiv   pre-print
This paper discusses the current state of the NLP research, limitations, and foreseeable pitfalls in addressing five real-world applications for social good crisis management, healthcare, political campaigning  ...  Multilingualism refers to the high degree of proficiency in two or more languages in the written and oral communication modes.  ...  • PDM: Misinformation during election campaigning misleads people with manipulated facts and rumors (Badawy et al., 2018; Cantarella et al., 2020).  ... 
arXiv:2106.07823v1 fatcat:7jkoetjwtbf3za36pjdwbcnzwq

Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation

Danielle Caled, Mário J. Silva
2021 Journal of Computational Social Science  
It includes: (1) a conceptualization of misinformation and related terms, such as rumors and disinformation; (2) an analysis of the cognitive vulnerabilities that hinder the correction of the effects of  ...  an inaccurate narrative already assimilated; and (3) an interdisciplinary discussion on different strategies for coping with misinformation.  ...  Most of these initiatives rely on machine learning or NLP techniques for identifying and preventing the spread of misinformation.  ... 
doi:10.1007/s42001-021-00118-8 pmid:34075349 pmcid:PMC8156576 fatcat:3uagqf2i2ndpdcxei7wceynxzy

Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches

Maha Al-Yahya, Hend Al-Khalifa, Heyam Al-Baity, Duaa AlSaeed, Amr Essam, M. Irfan Uddin
2021 Complexity  
., the use of neural networks and transformers. This paper presents a comprehensive comparative study of neural network and transformer-based language models used for Arabic FND.  ...  Arabic FND started to receive more attention in the last decade, and many detection approaches demonstrated some ability to detect fake news on multiple datasets.  ...  Acknowledgments is research project was supported by a grant from the "Research Center of the Female Scientific and Medical Colleges," Deanship of Scientific Research, King Saud University, Riyadh, Saudi  ... 
doi:10.1155/2021/5516945 fatcat:4of6srfkkbfsxazmpv5pojmnw4

Fake News Detection Using NLP

Samrudhi Naik
2021 International Journal for Research in Applied Science and Engineering Technology  
Techniques of NLP and Machine learning can be used to create models which can help to detect fake news. In this paper we have presented six LSTM models using the techniques of NLP and ML.  ...  Abstract: The spreading of fake news has given rise to many problems in society. It is due to its ability to cause a lot of social and national damage with destructive impacts.  ...  Fig. 3 shows an example of an image with adequate resolution.  ... 
doi:10.22214/ijraset.2021.39582 fatcat:34vb6tryrvarxjebvuxuurcnpu

Sentiment Analysis for Fake News Detection

Miguel A. Alonso, David Vilares, Carlos Gómez-Rodríguez, Jesús Vilares
2021 Electronics  
In this article, we study the different uses of sentiment analysis in the detection of fake news, with a discussion of the most relevant elements and shortcomings, and the requirements that should be met  ...  The dissemination of this type of news poses a serious threat to cohesion and social well-being, since it fosters political polarization and the distrust of people with respect to their leaders.  ...  The resolution of this task involves rumor identification, rumor tracking, stance classification, and veracity classification. • Truth discovery [77] , the task of detecting true facts by resolving conflicts  ... 
doi:10.3390/electronics10111348 fatcat:p34nbmtkzrcqrowu24nmu4axnq

CovidSens: A Vision on Reliable Social Sensing for COVID-19 [article]

Md Tahmid Rashid, Dong Wang
2020 arXiv   pre-print
Specifically, the vision of CovidSens attempts to answer the questions: How to distill reliable information on COVID-19 with prevailing rumors and misinformation?  ...  With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office  ... 
arXiv:2004.04565v3 fatcat:wo7mgcydzjbnvif7mdehqmhspm

Towards the Identification of Fake News in Portuguese

João Rodrigues, Ricardo Ribeiro, Fernando Batista, Ricardo Queirós, Pedro Rangel Henriques, Alberto Simões
2020 Symposium on Languages, Applications and Technologies  
Different media outlets have also taken a multitude of initiatives to deal with this phenomenon, such as the increase of discipline, accuracy and transparency of publications made internally.  ...  Many of these entities, which aim to maintain or improve their reputation, started to focus on high standards for quality and reliable information, which led to the creation of official and dedicated departments  ...  In parallel with this fact, the access points to every kind of information also grew, both for information and misinformation.  ... 
doi:10.4230/oasics.slate.2020.7 dblp:conf/slate/Rodrigues0B20 fatcat:p2iurpssbrendjloq5jlfndtji

Deep Learning applications for COVID-19

Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
2021 Journal of Big Data  
Natural Language Processing applications include mining COVID-19 research for Information Retrieval and Question Answering, as well as Misinformation Detection, and Public Sentiment Analysis.  ...  We describe how each of these applications vary with the availability of big data and how learning tasks are constructed.  ...  Opinions, findings, conclusions, or recommendations in this paper are the authors' and do not reflect the views of the NSF.  ... 
doi:10.1186/s40537-020-00392-9 pmid:33457181 pmcid:PMC7797891 fatcat:aokxo63z2rhdpfxo3egyf3xpcm

CovidSens: a vision on reliable social sensing for COVID-19

Md Tahmid Rashid, Dong Wang
2020 Artificial Intelligence Review  
Specifically, the vision of CovidSens attempts to answer the questions: How to distill reliable information about the COVID-19 with the coexistence of prevailing rumors and misinformation in the social  ...  With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office  ... 
doi:10.1007/s10462-020-09852-3 pmid:32836651 pmcid:PMC7291936 fatcat:b4fycdhby5gw5honu7li6w4dcy

Tracking Flooding Phase Transitions and Establishing a Passive Hotline with AI-Enabled Social Media Data

Ruo-Qian Wang, Yingjie Hu, Zikai Zhou, Kevin Yang
2020 IEEE Access  
By combining image and text analysis, we filter the tweets that contain images of the "Impact" category and high-resolution locations to gain the most valuable situation information.  ...  To locate emergency incidents, we use a deep learning based natural language processing (NLP) model to recognize locations from textual content of tweets.  ...  Such misinformation can mislead disaster response efforts and waste limited resources by spreading rumors or creating panic situations.  ... 
doi:10.1109/access.2020.2994187 fatcat:6joxvaet6jgipcrbpyb7ft5fna

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

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 arXiv   pre-print
Stance detection has been framed in different ways in the literature, including (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims, or (b) as a task in  ...  stance detection and mis- and disinformation detection.  ...  Language Processing (NLP) task needed to achieve this, namely stance detection.  ... 
arXiv:2103.00242v2 fatcat:5a7uwxjvonhpxaamxobzjvyzm4

What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses [article]

Sabur Butt, Shakshi Sharma, Rajesh Sharma, Grigori Sidorov, Alexander Gelbukh
2021 arXiv   pre-print
First is the descriptive analysis of rumours and secondly, proposing techniques to detect (or classify) rumours.  ...  These kinds of analyses on rumour case studies are vital for drawing meaningful conclusions to mitigate misinformation.  ...  and Rob Procter. 2018. Detection and resolution of rumours in 994–1009. social media: A survey.  ... 
arXiv:2112.03003v1 fatcat:sxs657ycwrcfnc657okmopwouu

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
2021 PeerJ Computer Science  
This study provides recommendations for future research and facilitates knowledge collection and formation on the application of the AI techniques for dealing with the COVID-19 epidemic and its consequences  ...  drug discovery models for COVID-19 infected patients with the help of artificial intelligence (AI) based techniques such as machine learning and deep learning models.  ...  Tan et al. (2020) hybridized super resolution generative adversarial network (SRGAN) model and VGG16 to detect infected patients by chest CT. SRGAN was used to enhance the resolution of CT images.  ... 
doi:10.7717/peerj-cs.564 pmid:34141890 pmcid:PMC8176528 fatcat:mhdwjhekgrgd5jzumt7blnshfy
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