Assessment2 Using Critical Digital Literacy Skills to Evaluate Online Information Related to Deep Fake Technology. Prakriti

 




SUNDAY JULY 28

ACU

DEEPFAKE TECHNOLOGY

VLOG-2 BISTA PRAKRITI (S00365886)

Issue
#10

 

 

 

July,29

 

Let's delve into the fascinating world of deepfake technology and create a structured blog post.

 

What Are Deepfakes: Definition, Meaning, Technology, Types, & Examples (scienceabc.com)

 Also Read: How Does Face App Work?

Defining Deepfake Technology

As synthetic media that have been digitally altered to replace one person's likeness with another creating realistic-looking content.

-By john Bandon, Fox News, Feb 16, 2018

Terrifying High-tech Porn Creepy ‘Deepfake’ Videos are on the rise.

 Terrifying high-tech porn: Creepy 'deepfake' videos are on the rise | Fox News

Joshua Watson, who runs the tech company Ironrock Solutions,

 

 




With the powerful language models and libraries, AI-powered software tools can now compose prose with humanlike.

 




 

 

 

Who is affected?

Whose identities are manipulated, leading to privacy invasion and reputation harm.

there’s the potential for political abuse. Want to discredit an enemy? Indian journalist Rana Ayyub knows how that works: In April 2018, her face was in a deepfake porn video that went viral across the subcontinent, apparently because she is an outspoken Muslim woman whose investigations offended India’s ruling party. Rana Ayyub's Fight for Truth and Journalism in Modi's India | TIME

 

 

 

 


Synthetic media: The real trouble with deepfakes | Knowable Magazine


The latest exploit? They are called deepfake, and they are speaking like Wildfire.

 


Why Deepfake Matters?

Significant issue: They can be misused to create child sexual abuse material, revenge porn, fake news and financial Fraud.

Example of the real and fake news data


                            


                                                      

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How deepfake happens?

Deepfake involves two algorithms:

-Generators- These create new image based on initial data.

-Discriminators- They evaluate content for realism and refine it iteratively.



Effect and consequences  

 

-        Erosion of trust in media and information.

-Harm to individuals and organization through potential defamation, manipulation and fraudulent activities.

 

Strategies  

 

-Invest in improving identify verification systems.

-Biometric verification- using unique physical or behavioral traits for authentication.

Lifeless verification- ensuring that the person is physically present during identify verification.


AN YOU BELIEVE THIS IS ME, Trying AI through Snapchat creepy RIGHT?  






 

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-This interplay of AI technologies allows for the creation of highly convincing Synthetic media What are deepfakes? How they work + how to spot one - Norton

 

 

 

 

 

 

 

 

Introducing the Article for Video Evaluation -


 

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