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The paper presents our solutions for the MediaEval 2020 task namely FakeNews: Corona Virus and 5G Conspiracy Multimedia Twitter-Data-Based Analysis. The task aims to analyze tweets related to COVID-19 and 5G conspiracy theories to detect…

计算与语言 · 计算机科学 2020-12-15 Abdullah Hamid , Nasrullah Shiekh , Naina Said , Kashif Ahmad , Asma Gul , Laiq Hassan , Ala Al-Fuqaha

Recent rapid technological advancements in online social networks such as Twitter have led to a great incline in spreading false information and fake news. Misinformation is especially prevalent in the ongoing coronavirus disease (COVID-19)…

计算与语言 · 计算机科学 2021-01-22 Sunil Gundapu , Radhika Mamidi

The sharing of fake news and conspiracy theories on social media has wide-spread negative effects. By designing and applying different machine learning models, researchers have made progress in detecting fake news from text. However,…

计算与语言 · 计算机科学 2022-05-03 Haoming Guo , Tianyi Huang , Huixuan Huang , Mingyue Fan , Gerald Friedland

Social media platforms like Facebook, Twitter, and Instagram have enabled connection and communication on a large scale. It has revolutionized the rate at which information is shared and enhanced its reach. However, another side of the coin…

机器学习 · 计算机科学 2021-04-13 Apurva Wani , Isha Joshi , Snehal Khandve , Vedangi Wagh , Raviraj Joshi

Humanity is battling one of the most deleterious virus in modern history, the COVID-19 pandemic, but along with the pandemic there's an infodemic permeating the pupil and society with misinformation which exacerbates the current malady. We…

计算与语言 · 计算机科学 2021-07-06 Prathmesh Pathwar , Simran Gill

COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus. Misinformation spread through online social networks (OSN) often misled people from following correct medical…

社会与信息网络 · 计算机科学 2022-09-08 Mohammad Majid Akhtar , Bibhas Sharma , Ishan Karunanayake , Rahat Masood , Muhammad Ikram , Salil S. Kanhere

The COVID-19 pandemic has had a huge impact on various areas of human life. Hence, the coronavirus pandemic and its consequences are being actively discussed on social media. However, not all social media posts are truthful. Many of them…

计算与语言 · 计算机科学 2021-08-30 Anna Glazkova , Maksim Glazkov , Timofey Trifonov

During the COVID-19 pandemic, social media platforms were ideal for communicating due to social isolation and quarantine. Also, it was the primary source of misinformation dissemination on a large scale, referred to as the infodemic.…

机器学习 · 计算机科学 2021-07-22 Sajad Dadgar , Mehdi Ghatee

The FakeNews task in MediaEval 2022 investigates the challenge of finding accurate and high-performance models for the classification of conspiracy tweets related to COVID-19. In this paper, we used BERT, ELMO, and their combination for…

计算与语言 · 计算机科学 2023-03-08 Abdul Rehman , Rabeeh Ayaz Abbasi , Irfan ul Haq Qureshi , Akmal Saeed Khattak

Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony and affect society, especially when dealing with an epidemic like COVID-19. The task of Fake News Detection aims to tackle the effects of such…

计算与语言 · 计算机科学 2021-12-14 Mrinal Rawat , Diptesh Kanojia

Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the context of the current COVID-19 pandemic, social media posts…

社会与信息网络 · 计算机科学 2021-05-18 Drishti Jain , Tavpritesh Sethi

Fake news has emerged as a critical global issue, magnified by the COVID-19 pandemic, underscoring the need for effective preventive tools. Leveraging machine learning, including deep learning techniques, offers promise in combatting fake…

社会与信息网络 · 计算机科学 2023-10-24 Dylan Warman , Muhammad Ashad Kabir

Nowadays, the development of social media allows people to access the latest news easily. During the COVID-19 pandemic, it is important for people to access the news so that they can take corresponding protective measures. However, the fake…

计算与语言 · 计算机科学 2021-10-04 Yuxiang Wang , Yongheng Zhang , Xuebo Li , Xinyao Yu

The COVID-19 pandemic has gained worldwide attention and allowed fake news, such as ``COVID-19 is the flu,'' to spread quickly and widely on social media. Combating this coronavirus infodemic demands effective methods to detect fake news.…

社会与信息网络 · 计算机科学 2022-11-22 Xinyi Zhou , Reza Zafarani , Emilio Ferrara

While the world has been combating COVID-19 for over three years, an ongoing "Infodemic" due to the spread of fake news regarding the pandemic has also been a global issue. The existence of the fake news impact different aspect of our daily…

机器学习 · 计算机科学 2023-05-26 Chih-Yuan Li , Navya Martin Kollapally , Soon Ae Chun , James Geller

The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world stay connected. With the COVID-19 pandemic raging, social media has become more relevant and…

计算与语言 · 计算机科学 2021-01-12 Sourya Dipta Das , Ayan Basak , Saikat Dutta

Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter globally, which provides the possibility to disseminate misleading…

机器学习 · 计算机科学 2022-09-14 Aos Mulahuwaish , Manish Osti , Kevin Gyorick , Majdi Maabreh , Ajay Gupta , Basheer Qolomany

The paper is devoted to the participation of the TUDublin team in Constraint@AAAI2021 - COVID19 Fake News Detection Challenge. Today, the problem of fake news detection is more acute than ever in connection with the pandemic. The number of…

计算与语言 · 计算机科学 2021-01-15 Elena Shushkevich , John Cardiff

Fake news detection is an important task for increasing the credibility of information on the media since fake news is constantly spreading on social media every day and it is a very serious concern in our society. Fake news is usually…

计算与语言 · 计算机科学 2021-04-28 Nguyen Manh Duc Tuan , Pham Quang Nhat Minh

COVID-19 pandemic has generated what public health officials called an infodemic of misinformation. As social distancing and stay-at-home orders came into effect, many turned to social media for socializing. This increase in social media…

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