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The rise of social media has ignited an unprecedented circulation of false information in our society. It is even more evident in times of crises, such as the COVID-19 pandemic. Fact-checking efforts have expanded greatly and have been…

Social and Information Networks · Computer Science 2020-12-22 Wilson Ceron , Mathias-Felipe de-Lima-Santos , Marcos G. Quiles

Fighting the ongoing COVID-19 infodemic has been declared as one of the most important focus areas by the World Health Organization since the onset of the COVID-19 pandemic. While the information that is consumed and disseminated consists…

Computation and Language · Computer Science 2022-04-08 Preslav Nakov , Firoj Alam , Yifan Zhang , Animesh Prakash , Fahim Dalvi

The COVID-19 pandemic has fueled the spread of misinformation on social media and the Web as a whole. The phenomenon dubbed `infodemic' has taken the challenges of information veracity and trust to new heights by massively introducing…

Computers and Society · Computer Science 2022-05-18 Maurício Gruppi , Panayiotis Smeros , Sibel Adalı , Carlos Castillo , Karl Aberer

With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also increases the…

Computation and Language · Computer Science 2023-04-18 Ciprian-Octavian Truică , Elena-Simona Apostol

The rapid adoption of large language models has introduced a new class of AI-generated fake news that coexists with traditional human-written misinformation, raising important questions about how these two forms of deceptive content differ…

Computation and Language · Computer Science 2026-04-14 Samuel Jaeger , Calvin Ibeneye , Aya Vera-Jimenez , Dhrubajyoti Ghosh

The increasingly rapid spread of information about COVID-19 on the web calls for automatic measures of quality assurance. In that context, we check the credibility of news content using selected linguistic features. We present two empirical…

Computation and Language · Computer Science 2022-05-02 Konstantin Schulz , Jens Rauenbusch , Jan Fillies , Lisa Rutenburg , Dimitrios Karvelas , Georg Rehm

Much of the research quantifying volume and spread of online misinformation measures the construct at the source level, identifying a set of specific unreliable domains that account for a relatively small share of news consumption. This…

Social and Information Networks · Computer Science 2025-06-11 Pranav Goel , Jon Green , David Lazer , Philip Resnik

The COVID-19 pandemic led to an infodemic where an overwhelming amount of COVID-19 related content was being disseminated at high velocity through social media. This made it challenging for citizens to differentiate between accurate and…

Computation and Language · Computer Science 2023-05-09 Yida Mu , Ye Jiang , Freddy Heppell , Iknoor Singh , Carolina Scarton , Kalina Bontcheva , Xingyi Song

Malicious accounts spreading misinformation has led to widespread false and misleading narratives in recent times, especially during the COVID-19 pandemic, and social media platforms struggle to eliminate these contents rapidly. This is…

Social and Information Networks · Computer Science 2022-02-28 Karishma Sharma , Emilio Ferrara , Yan Liu

Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially true of news stories shared on social media since they don't…

Information Retrieval · Computer Science 2018-09-17 Shashank Gupta , Raghuveer Thirukovalluru , Manjira Sinha , Sandya Mannarswamy

Fake information poses one of the major threats for society in the 21st century. Identifying misinformation has become a key challenge due to the amount of fake news that is published daily. Yet, no approach is established that addresses…

Information Retrieval · Computer Science 2021-03-30 Vishwani Gupta , Katharina Beckh , Sven Giesselbach , Dennis Wegener , Tim Wirtz

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

Estimation of mis/disinformation prevalence in social media is crucial for designing mitigation strategies to limit its impact. Yet, such estimations are subject to several uncertainties that are rarely quantified jointly. In this study, we…

Social and Information Networks · Computer Science 2026-03-13 Ishari Amarasinghe , Salvatore Romano , Jacopo Amidei , Emmanuel M. Vincent , Andreas Kaltenbrunner

In the era of information proliferation, discerning the credibility of news content poses an ever-growing challenge. This paper introduces RELIANCE, a pioneering ensemble learning system designed for robust information and fake news…

Information Retrieval · Computer Science 2024-04-23 Majid Ramezani , Hamed Mohammadshahi , Mahshid Daliry , Soroor Rahmani , Amir-Hosein Asghari

As the world is becoming more dependent on the internet for information exchange, some overzealous journalists, hackers, bloggers, individuals and organizations tend to abuse the gift of free information environment by polluting it with…

Computation and Language · Computer Science 2021-04-02 Kwadwo Osei Bonsu

Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a story through her feed, she can flag the story as…

Social and Information Networks · Computer Science 2017-11-29 Jooyeon Kim , Behzad Tabibian , Alice Oh , Bernhard Schoelkopf , Manuel Gomez-Rodriguez

Over the past decade, fake news and misinformation have turned into a major problem that has impacted different aspects of our lives, including politics and public health. Inspired by natural human behavior, we present an approach that…

Computation and Language · Computer Science 2022-01-04 Zahra Ghadiri , Milad Ranjbar , Fakhteh Ghanbarnejad , Sadegh Raeisi

Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on their content, but it is difficult to agree on universal…

Social and Information Networks · Computer Science 2018-08-30 Oana Balmau , Rachid Guerraoui , Anne-Marie Kermarrec , Alexandre Maurer , Matej Pavlovic , Willy Zwaenepoel

Fact-checking health-related claims has become increasingly critical as misinformation proliferates online. Effective verification requires both the retrieval of high-quality evidence and rigorous reasoning processes. In this paper, we…

Artificial Intelligence · Computer Science 2025-12-12 Chih-Han Chen , Chen-Han Tsai , Yu-Shao Peng

With the explosive growth of the Coronavirus Pandemic (COVID-19), misinformation on social media has developed into a global phenomenon with widespread and detrimental societal effects. Despite recent progress and efforts in detecting…

Social and Information Networks · Computer Science 2024-08-06 Mustafa Alassad , Nitin Agarwal