In this paper, the ability of ChatGPT v3. 5 to distinguish mis/disinformation against legitimate
news content is tested using the current standard fake news test designed for human subject …

This study aimed to evaluate the proficiency of prominent Large Language Models (LLMs)—
OpenAI's ChatGPT 3.5 and 4.0, Google's Bard/LaMDA, and Microsoft's Bing AI—in …

This paper examines audio-based social networking platforms and how their environments
can affect the persistence of fake news and mis/disinformation in the whole information …

This paper examines how a user's preference of device while browsing social media may
affect his/her risk of falling prey to misinformation and disinformation attacks. An …

This paper proposes the reduction of self-reported measures in deception quantifying
assessment psychometric devices through the integration of digital trace data to limit bias …

This study embarked on a comprehensive exploration of user preferences between Search
Engines and Large Language Models (LLMs) in the context of various information retrieval …

Existing studies from a wide breadth of fields surrounding fake news and their controls are
mostly siloed from proposals from other domains. This design yields a limited perspective on …

This paper examines how being a veteran or having a prior history of being a veteran
contributes to susceptibility to falling prey to misinformation and disinformation attacks. An …

This paper examines how a user's religion contributes to susceptibility to falling prey to
misinformation and disinformation attacks. An experimental survey (N= 73) was exclusively …

This paper offers a comparative vector assessment of DDoS and disinformation attacks. The
assessed dimensions are as follows:(1) the threat agent,(2) attack vector,(3) target,(4) …