Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-video-is-worth-more-than-1000-lies-comparing-3dcnn-approaches-for-detecting-deepfakes
MLA“A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-video-is-worth-more-than-1000-lies-comparing-3dcnn-approaches-for-detecting-deepfakes.
BibTeX@misc{4ortxyz_a-video-is-worth-more-than-1000-lies-comparing-3dcnn-approaches-for-detecting-deepfakes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes}}, year = {2026}, url = {https://4ort.xyz/entity/a-video-is-worth-more-than-1000-lies-comparing-3dcnn-approaches-for-detecting-deepfakes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes — https://4ort.xyz/entity/a-video-is-worth-more-than-1000-lies-comparing-3dcnn-approaches-for-detecting-deepfakes (retrieved 2026-05-24)