An Approach For Improving The Accuracy For Detecting Fake Tweets
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An Approach For Improving The Accuracy For Detecting Fake Tweets
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Author : Vaishali Vaibhav Hirlekar
language : en
Publisher: Mohammed Abdul Sattar
Release Date : 2024-01-31
An Approach For Improving The Accuracy For Detecting Fake Tweets written by Vaishali Vaibhav Hirlekar and has been published by Mohammed Abdul Sattar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
In the modern world, fake information is a growing issue. Hoaxes and deliberate lies are disseminated through traditional media outlets or social platforms can be considered misleading/fake news. Fake information is produced and spread to deceive a person or an organization financially or politically. The transmission and dissemination of such misleading information could cause serious hazards; it could create threat to national security too. To mitigate the negative consequences of misleading news, a method to automatically recognise fake news must be developed. So far different measures have been put in order to identify misleading information. There are various ways to characterise fake news. An article of news that is purposefully and demonstrably untrue is known as fake news. The phrase "fake news" is used to describe misleading information that appears in mainstream media. Fake news is a term that is used to describe a variety of ideas, including rumour and misinformation. According to another definition, fake news is a type of misleading information released under the guise of being legitimate news commonly spread through news outlets or the internet with a goal to gain politically or financially, boost reading, and prejudice public opinion. Some made distinctions between different types of fake news, such as severe fabrications, massive hoaxes, and hilarious fakes. Today, social media has become a necessary component of daily life. Every day, we read numerous articles on social media. Some are real, but majority of the time they are found fake. The reason behind this is, every user is a self-publisher here, who doesn't verify the veracity of the information and people forward the erroneous or incorrect information further which is composed of fabricated articles which ultimately results in fake news, those stories are made up to sway readers' judgments or mislead them. Because of this misleading information are spread online more quickly than we can ever conceive, they have become more prevalent over the past several years on social platforms. Plenty of disinformation is spread about issues like politics, economics, and technological advancements. Misinformation, disinformation, malinformation are three distinct concepts that are frequently discussed in fake news. Despite being fake, misinformation is something which is being shared unintentionally. Disinformation is when a person deliberately spreads false information after knowing it to be real. Contrarily, information that is grounded in reality but does harm to an individual, group, or nation is referred to as malinformation.
Detecting Fake News On Social Media
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Author : Kai Shu
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Detecting Fake News On Social Media written by Kai Shu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/
Data Science For Fake News
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Author : Deepak P
language : en
Publisher: Springer Nature
Release Date : 2021-04-29
Data Science For Fake News written by Deepak P and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Computers categories.
This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.
Electronic Participation
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Author : Noella Edelmann
language : en
Publisher: Springer Nature
Release Date : 2023-08-23
Electronic Participation written by Noella Edelmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-23 with Computers categories.
This book constitutes the proceedings of the 15th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2023, held in Budapest, Hungary, in September 2023, in conjunction with the IFIP WG 8.5 Conference on Electronic Government (EGOV 2023) and the Conference for E-Democracy and Open Government Conference (CeDEM 2023). A total of 38 full papers has been carefully reviewed and selected from 106 submissions. Eight of the accepted papers are included in this book. They were organized in topical sections as follows: E-participation; digital transformation; digital technology; and digital sovereignty.
Disinformation In Open Online Media
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Author : Max van Duijn
language : en
Publisher: Springer Nature
Release Date : 2020-10-20
Disinformation In Open Online Media written by Max van Duijn and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models”, “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” and “Students Assessing Digital News and Misinformation” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Combating Fake News With Computational Intelligence Techniques
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Author : Mohamed Lahby
language : en
Publisher: Springer Nature
Release Date : 2021-12-15
Combating Fake News With Computational Intelligence Techniques written by Mohamed Lahby and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Technology & Engineering categories.
This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
Generative Methods For Social Media Analysis
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Author : Stan Matwin
language : en
Publisher: Springer Nature
Release Date : 2023-07-05
Generative Methods For Social Media Analysis written by Stan Matwin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Mathematics categories.
This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks. The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified. The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications.
Advanced Computational Paradigms And Hybrid Intelligent Computing
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Author : Tapan Kumar Gandhi
language : en
Publisher: Springer Nature
Release Date : 2021-12-06
Advanced Computational Paradigms And Hybrid Intelligent Computing written by Tapan Kumar Gandhi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
This book presents high-quality, peer-reviewed papers from the Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India during 22 – 24 March 2021. ICACCP 2021 covers an advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals and research scholars from regional, national and international levels are invited to present their original unpublished work in this conference.
Advances In Data And Information Sciences
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Author : Shailesh Tiwari
language : en
Publisher: Springer Nature
Release Date : 2022-11-24
Advances In Data And Information Sciences written by Shailesh Tiwari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-24 with Technology & Engineering categories.
This book gathers a collection of high-quality peer-reviewed research papers presented at the 4th International Conference on Data and Information Sciences (ICDIS 2022), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 6 – 7, 2022. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Emerging It Ict And Ai Technologies Affecting Society
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Author : Mousmi Ajay Chaurasia
language : en
Publisher: Springer Nature
Release Date : 2022-08-25
Emerging It Ict And Ai Technologies Affecting Society written by Mousmi Ajay Chaurasia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-25 with Computers categories.
This book presents the applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. COVID-19, a worldwide pandemic, has limited many physical operational areas and at the same time has motivated to uplift the initiative to digitalize the world. Society is facing ever more intense and protracted humanitarian crises, and as a result, the global community is pressed to find new ways to help people and communities in need. This interdisciplinary book highlights the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning experiences with the help of emerging technologies like IT/ICT, AI, ML, edge computing, robotics automation, 5G for the betterment of humanity. It highlights the analytics and optimization issues impacting society and technology for example on security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people to create a secure tomorrow.