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Regulated Deepfake

Social media brands are taking precautions as deepfakes enter their platforms

Trend - In the name of being able to decipher what is real and what is fake, social media platforms set guidelines and troubleshoot functional algorithms that will help them detect and flag deepfake videos that are being posted on their platform.

Insight - In the current socio-economic and political climate, in which media plays a big role in the circulation of information, consumers are wary about the content they come across. Users are especially alert of new technology that has the potential to threaten the perception of what is real and what is not, as well as user privacy. Because of shareable features, many consume news through their social media feeds, hence, there is a demand for the platforms to be strict about their content.
Workshop Question - How might your business be impacted by deepfake technology?
Trend Themes
1. Social Media Deepfake Regulations - Social media platforms are developing guidelines and functional algorithms to detect and flag deepfake videos that are being posted on their platforms, creating disruptive innovation opportunities for tech companies to develop better deepfake detection algorithms.
2. Preventative Facial Recognition AI - AI systems that protect images from facial recognition software are being developed and have practical applications in the future, creating disruptive innovation opportunities for tech companies to develop better facial recognition systems.
3. Deepfake-related Software Competitions - Deepfake detection software competitions are emerging globally as the dire need for a solution is growing rapidly, creating disruptive innovation opportunities in the deepfake detection sector.
4. AI-based Deepfake Detection Platforms - Startup companies are exploring AI-driven deepfake detection platforms, using the real-world physics simulation to train algorithms to detect fake videos, creating disruptive innovation opportunities to develop smarter deepfake detection models for the market.
Industry Implications
1. Technology - Technology companies have an opportunity to create cutting-edge algorithms and software to detect deepfakes, breaking into a new market space in artificial intelligence and software development.
2. Social Media - The rise of deepfakes has created an urgent need for social media platforms to develop algorithms and guidelines to detect and reduce the spread of such videos, creating disruptive innovation opportunities for social media companies to create 'anti-deepfake' infrastructure.
3. Artificial Intelligence - The detection of deepfakes has given rise to a new arms race to develop AI-driven platforms and deepfake detection models, creating disruptive innovation opportunities for companies in the AI industry to research and develop models to detect forgeries.
4
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 19 Examples:
20,481 Total Clicks
Date Range:
Oct 19 — Nov 19
Trending:
Average
Consumer Insight Topics:

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