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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…

Social and Information Networks · Computer Science 2021-09-27 Marius Paraschiv , Nikos Salamanos , Costas Iordanou , Nikolaos Laoutaris , Michael Sirivianos

The proliferation of unreliable news domains on the internet has had wide-reaching negative impacts on society. We introduce and evaluate interventions aimed at reducing traffic to unreliable news domains from search engines while…

Information Retrieval · Computer Science 2024-04-16 Peter Carragher , Evan M. Williams , Kathleen M. Carley

Bias assessment of news sources is paramount for professionals, organizations, and researchers who rely on truthful evidence for information gathering and reporting. While certain bias indicators are discernible from content analysis,…

Artificial Intelligence · Computer Science 2024-10-24 Dairazalia Sánchez-Cortés , Sergio Burdisso , Esaú Villatoro-Tello , Petr Motlicek

Platforms have struggled to keep pace with the spread of disinformation. Current responses like user reports, manual analysis, and third-party fact checking are slow and difficult to scale, and as a result, disinformation can spread…

Computers and Society · Computer Science 2020-09-30 Austin Hounsel , Jordan Holland , Ben Kaiser , Kevin Borgolte , Nick Feamster , Jonathan Mayer

The prevalence and perniciousness of fake news has been a critical issue on the Internet, which stimulates the development of automatic fake news detection in turn. In this paper, we focus on the evidence-based fake news detection, where…

Computation and Language · Computer Science 2022-02-09 Weizhi Xu , Junfei Wu , Qiang Liu , Shu Wu , Liang Wang

Social graph-based fake news detection aims to identify news articles containing false information by utilizing social contexts, e.g., user information, tweets and comments. However, conventional methods are evaluated under less realistic…

Social and Information Networks · Computer Science 2024-11-21 Junghoon Kim , Junmo Lee , Yeonjun In , Kanghoon Yoon , Chanyoung Park

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…

Computation and Language · Computer Science 2024-01-30 Flavio Merenda , José Manuel Gómez-Pérez

The global spread of misinformation and concerns about content trustworthiness have driven the development of automated fact-checking systems. Since false information often exploits social media dynamics such as "likes" and user networks to…

Social and Information Networks · Computer Science 2026-02-03 Vítor N. Lourenço , Aline Paes , Tillman Weyde

Evaluating the reliability of news sources is a routine task for journalists and organizations committed to acquiring and disseminating accurate information. Recent research has shown that predicting sources' reliability represents an…

Computation and Language · Computer Science 2024-10-24 Sergio Burdisso , Dairazalia Sánchez-Cortés , Esaú Villatoro-Tello , Petr Motlicek

'Fake news' is information that generally spreads on the web, which only mimics the form of reliable news media content. The phenomenon has assumed uncontrolled proportions in recent years rising the concern of authorities and citizens. In…

Social and Information Networks · Computer Science 2020-12-01 Davide Bennato , Giuseppe Pernagallo , Benedetto Torrisi

The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, low-quality and/or accidentally/deliberately fake information…

Social and Information Networks · Computer Science 2023-07-25 Shuzhi Gong , Richard O. Sinnott , Jianzhong Qi , Cecile Paris

In recent years there have been a growing interest in online auditing of information flow over social networks with the goal of monitoring undesirable effects, such as, misinformation and fake news. Most previous work on the subject, focus…

Machine Learning · Computer Science 2024-09-10 Daniel Toma , Wasim Huleihel

With the growth of the internet, the number of fake-news online has been proliferating every year. The consequences of such phenomena are manifold, ranging from lousy decision-making process to bullying and violence episodes. Therefore,…

Information Retrieval · Computer Science 2018-09-05 Diego Esteves , Aniketh Janardhan Reddy , Piyush Chawla , Jens Lehmann

In this paper we proposed a Graph-Based conspiracy source detection method for the MediaEval task 2022 FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task. The goal of this study was to apply SOTA graph neural network methods…

Social and Information Networks · Computer Science 2023-03-08 Atta Ullah , Rabeeh Ayaz Abbasi , Akmal Saeed Khattak , Anwar Said

In recent years, misinformation on the Web has become increasingly rampant. The research community has responded by proposing systems and challenges, which are beginning to be useful for (various subtasks of) detecting misinformation.…

Computation and Language · Computer Science 2020-08-31 Ronald Denaux , Jose Manuel Gomez-Perez

The spread of fake news has long been a social issue and the necessity of identifying it has become evident since its dangers are well recognized. In addition to causing uneasiness among the public, it has even more devastating…

Social and Information Networks · Computer Science 2022-08-24 Yuxuan Tian

In recent years, the proliferation of misinformation and fake news has posed serious threats to individuals and society, spurring intense research into automated detection methods. Previous work showed that integrating content, user…

Social and Information Networks · Computer Science 2026-02-11 Kaiyuan Xu

Conspiracy theories, as a type of misinformation, are narratives that explains an event or situation in an irrational or malicious manner. While most previous work examined conspiracy theory in social media short texts, limited attention…

Computation and Language · Computer Science 2023-10-31 Yuanyuan Lei , Ruihong Huang

The proliferation of misinformation and propaganda is a global challenge, with profound effects during major crises such as the COVID-19 pandemic and the Russian invasion of Ukraine. Understanding the spread of misinformation and its social…

Social and Information Networks · Computer Science 2023-07-26 Mayana Pereira , Kevin Greene , Nilima Pisharody , Rahul Dodhia , Jacob N. Shapiro , Juan Lavista

In the era of widespread social networks, the rapid dissemination of fake news has emerged as a significant threat, inflicting detrimental consequences across various dimensions of people's lives. Machine learning and deep learning…

Machine Learning · Computer Science 2024-02-14 Batool Lakzaei , Mostafa Haghir Chehreghani , Alireza Bagheri
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