Under the Influence: A Survey of Large Language Models in Fake News Detection
Research into fake news detection has a long history, although it gained significant attention
following the 2016 US election. During this time, the widespread use of social media and the …
following the 2016 US election. During this time, the widespread use of social media and the …
Seeing is not believing: a nuanced view of misinformation warning efficacy on video-sharing social media platforms
C Guo, N Zheng, C Guo - Proceedings of the ACM on Human-Computer …, 2023 - dl.acm.org
Misinformation warnings have become the de facto solution for fighting fake news online.
Our study brings attention to the challenge of developing effective misinformation warnings …
Our study brings attention to the challenge of developing effective misinformation warnings …
How can we combat online misinformation? A systematic overview of current interventions and their efficacy
The spread of misinformation is a pressing global problem that has elicited a range of
responses from researchers, policymakers, civil society and industry. Over the past decade …
responses from researchers, policymakers, civil society and industry. Over the past decade …
The largest social media ground-truth dataset for real/fake content: Truthseeker
Automatic detection of fake content in social media such as Twitter is an enduring challenge.
Technically, determining fake news on social media platforms is a straightforward binary …
Technically, determining fake news on social media platforms is a straightforward binary …
[HTML][HTML] Fake News Detection Revisited: An Extensive Review of Theoretical Frameworks, Dataset Assessments, Model Constraints, and Forward-Looking Research …
The emergence and acceptance of digital technology have caused information pollution and
an infodemic on Online Social Networks (OSNs), blogs, and online websites. The malicious …
an infodemic on Online Social Networks (OSNs), blogs, and online websites. The malicious …
Narrative Characteristics in Refugee Discourse: An Analysis of American Public Opinion on the Afghan Refugee Crisis After the Taliban Takeover
The United States (US) military withdrawal from Afghanistan in August 2021 was met with
turmoil as the Taliban regained control of most of the country, including Kabul. These events …
turmoil as the Taliban regained control of most of the country, including Kabul. These events …
Utilizing deep learning models for ternary classification in COVID-19 infodemic detection
Objective To address the complexities of distinguishing truth from falsehood in the context of
the COVID-19 infodemic, this paper focuses on utilizing deep learning models for infodemic …
the COVID-19 infodemic, this paper focuses on utilizing deep learning models for infodemic …
Theme-driven Keyphrase Extraction to Analyze Social Media Discourse
Social media platforms are vital resources for sharing self-reported health experiences,
offering rich data on various health topics. Despite advancements in Natural Language …
offering rich data on various health topics. Despite advancements in Natural Language …
A large-scale comparative study of accurate COVID-19 information versus misinformation
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 …
related content was being disseminated at high velocity through social media. This made it …
Health Misinformation in Social Networks: A Survey of IT Approaches
V Papanikou, P Papadakos, T Karamanidou… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we present a comprehensive survey on the pervasive issue of medical
misinformation in social networks from the perspective of information technology. The survey …
misinformation in social networks from the perspective of information technology. The survey …