… We see this work as the beginning of an overall approach to machine-generated content. …
machine-generated content can have a number of advantages over human-created content. …

… We observe that voice is the simplest modality to distinguish between human and
machine-generated content. This aligns with the model behaviours in all-modality evaluation, as the …

… such media content. Deepfakes are synthetically generated media in which a person in an
image or video is replaced with someone else’s likeness. Deepfakes and other such content …

… , and the generation of highly realistic multimedia content encompassing text, images, videos…
Machine-generated text, primarily driven by the advent of LLMs, is increasingly permeating …

… media landscape, reflecting the pressing need to discern between humanauthored content
and machine-generated … AI-generated content, including Copyleaks AI Content Detector and …

… ’s user-generated content. We should consider to what extent an abundance of user-generated
content is replaced by an abundance of machine-generated content? Will the overload of …

… However, while AD has a perceived value in the context of informing machine-generated video
… The addition of AD to a range of social media content would serve the purpose of making …

… content creators become secondary to the agent that they feed and risk losing control over
their work [28]. While machine-generated content … generative, non-deterministic content [8]. …

… literature on machine-generated news, this study examines machine-generated artworks in
… participants’ open-ended responses to machine-generated works. Results suggest that while …

… The objective of the project was the automatic extraction of metadata from multimedia
content (audio, video, still images, text, and compound media like web pages or text overlay on …