arXiv (All)
open access
Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News?
The rapid advancement of generative AI raises concerns about the misuse of Multimodal LLMs (MLLMs) for large-scale disinformation campaigns on social media. Despite existing research on textual disinformation, a fundamental question remains unanswered: can MLLMs be exploited to fabricate realistic m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Rethinking Multimodal Fake News Detection in the Generative AI Era#1132051
- MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation#798317
- MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation#796904
- Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection#1012774
- Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection#965437
Record · ID 1130651
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive