Many people might have experiences that they were confused because of Deepfake technology which was used in the media. Deepfake technology, based on artificial intelligence, poses significant concerns for media credibility, public trust, and the challenges faced by journalists in verifying information. According to Oxford Languages Deepfakes refer to a video of a person in which their face or body has been digitally altered so that they appear to be someone else, typically used maliciously or to spread false information. As technology advances, deep fakes are becoming increasingly difficult to distinguish from reality, raising questions about the reliability and integrity of information. This has profound implications for the media and society, making it crucial to understand deepfake technology and its impact.
Understanding Deepfakes:
Deepfake technology utilizes artificial intelligence and deep learning algorithms to manipulate videos or voices. By training algorithms with existing images or videos, this technology synthesizes faces onto different bodies or creates fake content that is nearly indistinguishable from reality.
Commonly, deep fakes are used to create realistic fake videos by superimposing celebrity faces onto other people's bodies. This enables the alteration of characters in existing videos or images, making them appear as if they are saying or doing things they never did. As deepfake technology advances, it is becoming increasingly sophisticated. While initially requiring expensive resources and expertise, recent developments have made it more accessible for end users to create deep fakes using publicly available source code and user-friendly tools.
Deepfakes have the potential for creating engaging content or entertainment, but they can also be misused for malicious purposes. They can cause social confusion, defame individuals, and be exploited for political manipulation or social division.
One example is that during the 2016 presidential election, external nations such as Russia posted massive amounts of fake news on social media to influence voters. This was the first time deepfake technology was utilized to have a significant impact on the outcome of the election for many people.
Deepfakes significantly impact the media and information ecosystem, blurring the concepts of authenticity and reliability and making it challenging to identify trustworthy information. Therefore, it is essential to develop ways to detect and respond to deepfakes as technology progresses.
As deepfake technology continues to evolve, significant challenges arise concerning media credibility, public trust. By addressing these challenges, we can navigate the complexities of deep fake technology, safeguarding public trust.
Choi Yunseo (1-4)¹ | Staff Reporter
1) dvstj0719@naver.com
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