I'd mentioned a while back that we (Paravision) were working on a practical guide to deepfakes that included a conceptual framework for describing deepfakes vs. adjacencies like synthetic imagery and morphs. We published this recently, but I neglected to pass it along to this distribution. If you are interested, you can check it out here: 

https://www.paravision.ai/resource/a-practical-guide-to-deepfake-detection/

In particular, you might find the graphic and table on pages 7-8 to be of interest. We've also pulled these out as separate images you can see in this slideshow: https://www.linkedin.com/feed/update/urn:li:activity:7257016902437212160/

Feel free to reach out if you have any questions or thoughts! 

My best, 

Joey