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The widespread of false information is a rising concern worldwide with critical social impact, inspiring the emergence of fact-checking organizations to mitigate misinformation dissemination. However, human-driven verification leads to a…

机器学习 · 计算机科学 2022-12-09 Vítor Lourenço , Aline Paes

Easier access to the internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and personal blogs of self-proclaimed journalists have become significant…

计算与语言 · 计算机科学 2021-09-28 Shaily Bhatt , Sakshi Kalra , Naman Goenka , Yashvardhan Sharma

Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed to…

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

机器学习 · 计算机科学 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fake news, especially as new events arise, is important to…

计算与语言 · 计算机科学 2023-09-27 Nikhil Mehta , Dan Goldwasser

Misinformation is often conveyed in multiple modalities, e.g. a miscaptioned image. Multimodal misinformation is perceived as more credible by humans, and spreads faster than its text-only counterparts. While an increasing body of research…

计算与语言 · 计算机科学 2023-10-27 Mubashara Akhtar , Michael Schlichtkrull , Zhijiang Guo , Oana Cocarascu , Elena Simperl , Andreas Vlachos

Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information. While existing…

多媒体 · 计算机科学 2024-09-17 Hui Liu , Wenya Wang , Haoliang Li

Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and…

Preventing the spread of misinformation is challenging. The detection of misleading content presents a significant hurdle due to its extreme linguistic and domain variability. Content-based models have managed to identify deceptive language…

计算与语言 · 计算机科学 2024-01-30 Flavio Merenda , José Manuel Gómez-Pérez

The rapid dissemination of misinformation through social media increased the importance of automated fact-checking. Furthermore, studies on what deep neural models pay attention to when making predictions have increased in recent years.…

计算与语言 · 计算机科学 2024-02-12 Recep Firat Cekinel , Pinar Karagoz

The past decade has seen a substantial rise in the amount of mis- and disinformation online, from targeted disinformation campaigns to influence politics, to the unintentional spreading of misinformation about public health. This…

计算与语言 · 计算机科学 2021-12-09 Isabelle Augenstein

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

Misinformation on the web increasingly appears in multimodal forms, combining text, images, and OCR-rendered content in ways that amplify harm to public trust and vulnerable communities. While prior fact-checking systems often rely on…

计算与语言 · 计算机科学 2026-01-14 Aditya Kishore , Gaurav Kumar , Jasabanta Patro

Fake news detection has become a research area that goes way beyond a purely academic interest as it has direct implications on our society as a whole. Recent advances have primarily focused on textbased approaches. However, it has become…

计算与语言 · 计算机科学 2022-12-14 Gregor Donabauer , Udo Kruschwitz

As recent events have demonstrated, disinformation spread through social networks can have dire political, economic and social consequences. Detecting disinformation must inevitably rely on the structure of the network, on users…

社会与信息网络 · 计算机科学 2021-09-27 Marius Paraschiv , Nikos Salamanos , Costas Iordanou , Nikolaos Laoutaris , Michael Sirivianos

Social media is accompanied by an increasing proportion of content that provides fake information or misleading content, known as information disorder. In this paper, we study the problem of multimodal fake news detection on a largescale…

信息检索 · 计算机科学 2021-06-01 Armin Kirchknopf , Djordje Slijepcevic , Matthias Zeppelzauer

Fighting misinformation is a challenging, yet crucial, task. Despite the growing number of experts being involved in manual fact-checking, this activity is time-consuming and cannot keep up with the ever-increasing amount of Fake News…

计算与语言 · 计算机科学 2023-08-30 Daniel Russo , Serra Sinem Tekiroglu , Marco Guerini

Recent years have witnessed the sustained evolution of misinformation that aims at manipulating public opinions. Unlike traditional rumors or fake news editors who mainly rely on generated and/or counterfeited images, text and videos,…

计算与语言 · 计算机科学 2024-04-09 Yizhou Zhang , Loc Trinh , Defu Cao , Zijun Cui , Yan Liu

The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a…

计算与语言 · 计算机科学 2024-04-30 Nikhil Mehta , Dan Goldwasser

The rise of disinformation on social media, especially through the strategic manipulation or repurposing of images, paired with provocative text, presents a complex challenge for traditional fact-checking methods. In this paper, we…

多媒体 · 计算机科学 2025-04-11 Arka Ujjal Dey , Artemis Llabrés , Ernest Valveny , Dimosthenis Karatzas
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