Megafake: a theory-driven dataset of fake news generated by large language models

LZ Wang, Y Ma, R Gao, B Guo, H Zhu, W Fan… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of large language models (LLMs) has revolutionized online content creation,
making it much easier to generate high-quality fake news. This misuse threatens the integrity …

Unmasking Fake News: Navigating the Landscape of Fake News Identification, Challenges and Issues

S Patel, S Surati - SN Computer Science, 2024 - Springer
The dissemination of fake information has grown to be a major issue in the age of digital
media that jeopardizes the accuracy of judgment and the veracity of data. Hence, based on …

Informational value of visual nudges during crises: Improving public health outcomes through social media engagement amid COVID‐19

A Ivanov, Z Tacheva, A Alzaidan… - Production and …, 2023 - journals.sagepub.com
In this study, we conceptualize and empirically evaluate how large‐scale organizations can
utilize the informational value of visual nudges on social media to promote safety among …

Entity-centric multi-domain transformer for improving generalization in fake news detection

P Bazmi, M Asadpour, A Shakery… - Information Processing & …, 2024 - Elsevier
Fake news has become a significant concern in recent times, particularly during the COVID-
19 pandemic, as spreading false information can pose significant public health risks …

AI for marketing: Enabler? Engager? Ersatz?

S Madhavaram, R Appan - AMS Review, 2025 - Springer
The prospect of artificial intelligence (AI) matching and surpassing human intelligence
continues to intrigue. On the foundations of the exceptional advances in AI technologies in …

Fighting Misinformation on Social Media: An Empirical Investigation of the Impact of Prominence Reduction Policies

M Mudambi, J Clark, L Rhue… - Production and …, 2023 - journals.sagepub.com
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12pt]?> Misinformation has dire implications for both public welfare and the operational aims …

TMEF-BI: Trusted Multimodal Evidential Fusion Considering Behavior Information for Fake News Detection

X Chen, Y Chen, Y Liu, J Pan - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The multimodal fake news detection is challenging due to the wide scope of news topics and
the frequent speed of emerging event updates on social media, which leads to the difficulty …

Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection

S Triplett, S Minami, RM Verma - International Conference on Information …, 2025 - Springer
In online communication it is difficult to know when something written is genuine or deceitful.
There exist many reasons for someone to act less-than-truthful online (ie, monetary gain …

AI-Generated Review Detection

J Luo, G Nan, D Li, Y Tan - Available at SSRN 4610727, 2023 - papers.ssrn.com
Online reviews of e-commerce platforms have long been recognized as a major factor that
influences a consumer's purchasing decisions. However, the emergence of generative …

Three Essays on Financial Text Analysis

J Zheng - 2024 - search.proquest.com
Processing financial text in an effective and efficient manner is a challenging task due to its
complexity, large volume, and the strategic behaviors of communicators. Both the …