SOCIAL MEDIA’S AI RECOGNITION TECH FAILS
The least desirable events tails back to back starting with the corona invasion in 2019. The mechanism of AI Social Media recognition, in countering fake content uploads failed then also and now too.
The mechanism of AI Social Media recognition in countering fake content uploads failed then also and now too. Social Media Artificial Intelligence fails to curb misleading content uploads on the internet
LATEST AI SOCIAL MEDIA RECOGNITION FAILURE
The Aghan-Taliban content upload is increasing on the social media platforms which contain visuals of local Afghans mid-air drops from US aircraft.
Though much of the videos are genuine the potential risky content too floats online in abundance.
Social Media Artificial Intelligence fails to curb misleading content uploads on the internet.
AI SOCIAL MEDIA THREAT DETECTION SYSTEM
It becomes evident that the algorithms of Social Media Artificial Intelligence fail to fence off in filtering out the potentially harmful content on the social media platform.
To expect an instant set-up of AI-mechanism in filtering to the content uploads promptly by the digital platform moderators is perhaps difficult to achieve now.
TO-DO CHECK
- No Re-Upload
After content removal, a tech-play inclusion to avoid re-post may work out well.
Just like Twitter’s re-tweet, reposting is also quite an easy task if posted by creating a new account, or by another account.
All like free lunches and the same motivation is behind reports.
- Unanimous Content-Flagging
Before fake content is removed, it passes several eyes facilitating more reposts and shares.
The removal of misleading content from the web happens late and does not guarantee to repost.
When is the unauthenticated Content is identified?
The potential fake content floats online until:-
- The AI moderation, like object and scene detection, marks it;
- Multiple flagging by users
It is then that it comes to the attention of the platform moderator when the content is initiated for removal.
The damage stops after volume content are detected by AI-powered moderation. But by then it’s too late to mend as multiplies in views and shares.
Detect Root-fakes Content
Root-fake contents pose high magnitude threat and challenge on social media platforms like –
- National Security threat
- Communal clashes
- Reputation Damage
- Confusion & Havoc
- Financial Loss
- Loss of Lives
SOLUTION – AI SOCIAL MEDIA RECOGNITION
Like, machine technology and AI are manmade utilities, solutions too source from the maker.
- Algorithm Mastering – Not quickly, but gradually the algorithms may be acquainted in recognising the markers that indicate content alteration.
- Video Authenticator – Microsoft engages in developing a system that works on the face-forensic concept, known as the Video Authenticator. This might be the artificial intelligence module that may hold the potential of detecting harmful and misleading content online.
OUTSMARTING TECH
The floaters of deep-fake content on the social media mediums attain expertise over trumping the system designs of countering misleading content.
The researchers at the University of California were able to analyse the fact that the current system protocol used to counter fake contents, can be deceived.
The other insufficiency that’s beyond control, is the content uploading part.
With the high power speed in uploading contents scope an easy edit and re-uploading of contents which easily evade algorithm blocking.
CONSEQUENCES MISLEADING CONTENT
Exploiting Reputation
A report from the NYU Stern Center for Business and Human Rights highlights various methods of deployment of misleading information the democratic activity.
The prime threat is deep-faking videos during elections to repute-harm the political candidate.
The report mentions chaos-creating intel about China and Iran joining Russian.
Paid Lead-Astray Information
A UK PR company paid cash ransom to the France and Germany origin Youtubers and Bloggers to facilitate false propagate about the high fatality rate caused due to Pfizer and BioNTech vaccine shots.
It was found out that this incidence took place in May and the PR entity based out of the UK had a Russian connection.
CO-ORDINATION – AI SOCIAL MEDIA RECOGNITION
The responsibility of validating the credibility of the content needs to be shared. The Youtube, Twitter, Facebook and other Social networking sites having high volume users should have an internal system protocol to filter the uploaded contents by the users.
The Artificial Intelligence system channelised in Social Media needs an effective content recognition rehearsal in identifying misleading uploads.
CONCLUSION – AI SOCIAL MEDIA RECOGNITION
Maybe, we can expect a potent AI tech reform in the coming years. But this doesn’t mean a total control failure, the platform holders still have their commendable grip on this concern.
SOCIAL INITIATIVES – BJP
In the Capital City of India, Rajouri Garden – Delhi (W), the BJP members are prompt in communicating the recent updates about the consequences of false social content. The Head of the member in-joint co-ordination with the respective Blockheads of Tagore Garden organize sessions sharing about the best practices of Social Media posting, and they are:-
- Analysing social feeds
- Verification of the content information
- Authenticity confirmation – Root Source
- Escalate the same to social platform moderators
BJP MEMBERS – KEY INITIATORS
- Mr Kamal Kishore Sharma (Head-Rajouri Garden)
- Mrs Ritu Goel (Head – Female Wing Delhi)
- Mr Sanjay (Head-SC/ST,Tittarpur, Tagore Garden
- Mr Amit Rao (Public Escalations/Content Writer)
Under the Leadership of Hon’ble Prime Minister of INDIA, Mr Narendra Modi, each member of the Bharatiya Janta Party perform at their excellence. The entire credit of the social reform crown to our Prime Minister, indeed He is a versatile and visionary personality.
