KITE: A Tri-Modal Transformer Integrating Text, Images, and Knowledge Graphs for Fake News Detection
arXiv:2606.07651v1 Announce Type: new Abstract: Traditional fake news detection methods are falling behind as multimodal misinformation grows more advanced, seamlessly blending deceptive text, manipulated visuals, and factually incorrect claims. Most prior work focuses on text-image fusion or applies external knowledge only as a post-processing step, limiting their ability to detect deeper semantic inconsistencies. In this paper, we introduce KITE (Knowledge-Integrated Text-Image Encoder), a tri-modal fake news detection framework that jointly models textual, visual, and factual knowledge repr
The rapid advancement of multimodal AI generation capabilities necessitates more sophisticated detection methods, as misinformation becomes increasingly difficult to discern.
The proliferation of multimodal fake news poses significant risks to information integrity, public discourse, and geopolitical stability, requiring advanced AI solutions to combat it effectively.
This research introduces a novel framework that integrates textual, visual, and factual knowledge, improving the ability of AI to detect complex, multimodal misinformation at its semantic roots.
- · AI ethics and safety researchers
- · Social media platforms
- · Fact-checking organizations
- · Governments
- · Malicious actors
- · Disinformation campaigns
- · Propaganda networks
Improved detection capabilities will help curtail the spread of sophisticated fake news across digital platforms.
Public trust in online information might see a marginal increase, and platforms could face less regulatory pressure regarding misinformation.
The arms race between misinformation generators and detectors could accelerate, leading to even more advanced AI-driven disinformation tactics and countermeasures.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.LG