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The spread of online misinformation poses serious threats to democratic societies. Traditionally, expert fact-checkers verify the truthfulness of information through investigative processes. However, the volume and immediacy of online…

Information Retrieval · Computer Science 2025-06-12 Michael Soprano

Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd of non-expert is exploited. We study whether crowdsourcing…

Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large. Very recently, the problem has been addressed with a crowdsourcing-based approach to scale…

Misinformation propagation in online social networks has become an increasingly challenging problem. Although many studies exist to solve the problem computationally, a permanent and robust solution is yet to be discovered. In this study,…

Social and Information Networks · Computer Science 2023-03-21 Tolga Yilmaz , Özgür Ulusoy

The massive spread of misinformation in social networks has become a global risk, implicitly influencing public opinion and threatening social/political development. Misinformation detection (MID) has thus become a surging research topic in…

Social and Information Networks · Computer Science 2019-09-10 Bin Guo , Yasan Ding , Lina Yao , Yunji Liang , Zhiwen Yu

Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly…

Computation and Language · Computer Science 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms. This paper develops a…

Social and Information Networks · Computer Science 2018-06-01 Cody Buntain , Jennifer Golbeck

Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true and false statements. Usually such judgments are made by…

Information Retrieval · Computer Science 2020-06-26 Kevin Roitero , Michael Soprano , Shaoyang Fan , Damiano Spina , Stefano Mizzaro , Gianluca Demartini

Online misinformation has been a serious threat to public health and society. Social media users are known to reply to misinformation posts with counter-misinformation messages, which have been shown to be effective in curbing the spread of…

Social and Information Networks · Computer Science 2023-03-17 Yingchen Ma , Bing He , Nathan Subrahmanian , Srijan Kumar

Fact-checking is one of the effective solutions in fighting online misinformation. However, traditional fact-checking is a process requiring scarce expert human resources, and thus does not scale well on social media because of the…

Information Retrieval · Computer Science 2022-08-22 Mohammed Saeed , Nicolas Traub , Maelle Nicolas , Gianluca Demartini , Paolo Papotti

Amid a tidal wave of misinformation flooding social media during elections and crises, extensive research has been conducted on misinformation detection, primarily focusing on text-based or image-based approaches. However, only a few…

Machine Learning · Computer Science 2025-07-04 Gautam Kishore Shahi

Fact checking by professionals is viewed as a vital defense in the fight against misinformation.While fact checking is important and its impact has been significant, fact checks could have limited visibility and may not reach the intended…

Social and Information Networks · Computer Science 2020-11-13 Nicholas Micallef , Bing He , Srijan Kumar , Mustaque Ahamad , Nasir Memon

The spread of misinformation in social media outlets has become a prevalent societal problem and is the cause of many kinds of social unrest. Curtailing its prevalence is of great importance and machine learning has shown significant…

Artificial Intelligence · Computer Science 2023-04-25 Yueyang Liu , Zois Boukouvalas , Nathalie Japkowicz

With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and noisy nature of online/offline crowdsourced data, however, makes…

Human-Computer Interaction · Computer Science 2019-08-08 Bin Guo , Huihui Chen , Yan Liu , Chao Chen , Qi Han , Zhiwen Yu

Misinformation about critical issues such as climate change and vaccine safety is oftentimes amplified on online social and search platforms. The crowdsourcing of content credibility assessment by laypeople has been proposed as one strategy…

Human-Computer Interaction · Computer Science 2020-08-24 Md Momen Bhuiyan , Amy X. Zhang , Connie Moon Sehat , Tanushree Mitra

With the pervasiveness of online media data as a source of information verifying the validity of this information is becoming even more important yet quite challenging. Rumors spread a large quantity of misinformation on microblogs. In this…

Social and Information Networks · Computer Science 2019-12-20 Sardar Hamidian , Mona T Diab

Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation…

While there has been substantial progress in developing systems to automate fact-checking, they still lack credibility in the eyes of the users. Thus, an interesting approach has emerged: to perform automatic fact-checking by verifying…

Computation and Language · Computer Science 2022-10-11 Momchil Hardalov , Anton Chernyavskiy , Ivan Koychev , Dmitry Ilvovsky , Preslav Nakov

We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the…

Social and Information Networks · Computer Science 2022-10-31 Stefan Wojcik , Sophie Hilgard , Nick Judd , Delia Mocanu , Stephen Ragain , M. B. Fallin Hunzaker , Keith Coleman , Jay Baxter

The wide adoption of social media platforms has brought about numerous benefits for communication and information sharing. However, it has also led to the rapid spread of misinformation, causing significant harm to individuals, communities,…

Data Structures and Algorithms · Computer Science 2023-08-21 Ahad N. Zehmakan , Khushvind Maurya
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