The development of artificial intelligence is accelerating, while fraudulent activities increase daily.
They intend to scam everyone by disseminating manufactured recordings featuring individuals who hold prominent positions in the business or international communities.
These are commonly referred to as “deepfake videos” but I anticipate their prevalence to increase now that ChatGPT has been updated and made available to the public.(ChatGPT scares me!)
As the bull market for cryptocurrencies approaches, numerous notable YouTube channels have been compromised by cybercriminals. The channel names are altered, and they typically broadcast live broadcasts featuring Elon Musk or other notable individuals.
Therefore, it is necessary to look at how to detect deepfake videos.
How To Spot Deepfake Videos
- Unnatural eye movements or lack of blinking are warning signals. Blinking is hard to mimic. Realistic eye movements are very difficult to recreate. That’s because people generally look at their conversation partners.
- Consider the video false if someone seems distorted or odd when they turn or move their head, or if their motions are abrupt and disjointed.
- An lack of tooth outlines may indicate that algorithms cannot build individual teeth.
- Deepfake makers focus more on video than audio. Poor lip-syncing, artificial voices, unusual word pronunciations, digital background noise, or no audio may occur.
Deepfake Working Principle
Deepfake uses face mapping and AI. Before manipulating someone, the deepfake maker obtains photos. They enter this information and targeted person photographs into a deepfake algorithm.The algorithm maps both faces using facial recognition. Result: a convincing deepfake. Every aspect and face expression must be considered for a flawless deepfake. The creator’s work will be more realistic with additional material.
Why Deepfake Videos Used ?
Only ingenuity limits deepfake’s application. They may produce comedy. The popular app Face Swap leverages deepfake.Many deepfakes are malicious. The bulk target female celebrities and are pornographic. An astonishing 97% of online deepfakes are explicit. Extortion, fake news, and reputation loss result from this wrongdoing.