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Deepfake videos or audios are computer-generated ones that have been modified by using artificial intelligence or “deep learning” (a part of machine learning methods) techniques and designed to look real. To create a fake, one applies neural set simulation to massive data sets. Recently, deepfake content has been massively used in fake news, hoaxes, financial fraud, and celebrity porn videos.
The new policy comes after Twitter announced a plan to ask its users about how they think the platform should address misleading media.
The new tool is intended to help journalists and fact-checking organizations in detecting manipulated and doctored pictures. It may well come in handy during the pre-election period.
Although impersonation reports only make up 2.3% of all reports, the platform is already taking action to try and prevent such content from spreading.
The policy doesn’t cover satire or parody content, along with videos that were edited to omit certain words or change their order.