Facebook's AI is deleting one million accounts every day as the Indian election heats up
- Facebook India’s managing direction, Ajit Mohan, just published a blog outlining Facebook’s 18 month journey to prepare for India’s general election.
- In the blog he claims that using
artificial intelligenceand machine learning, Facebook is able to remove nearly one million accounts a day.
- In the past, Facebook’s content moderation guidelines has been called into question for being biased.
The managing director and vice president of Facebook’s India operations, Ajit Mohan, just published a blog post claiming that using artificial intelligence (AI) and machine learning (ML), the social networking site has been able to block or remove nearly one million accounts a day.
As Facebook continues to play a larger role in civic discussions and debate, we are committed to working hard to prevent abuse on our services, especially during elections.
He claims that using AI and ML to monitor content helps the company “identify abusive or violating content, and remove it in bulk.”
They also help us, at a large scale, identify abusive or violating content, quickly locate it across the platform and remove it in bulk. This dramatically reduces its ability to spread. We continue to expand on this initiative, adding 24 new languages — including 16 for India — to our automatic translation system.
There are human fact checkers also in play. The partnership with seven accredited fact-checking organisation, Facebook is able to cover content in eight different languages — English, Hindi, Bengali, Marathi, Telugu, Tamil, Malayalam and Gujarati — that it believes to be the most commonly used online.
While the mass removal of accounts is impressive it should be kept in mind that Facebook has over 300 million users and its content moderation practices have been called into question in the past for being biased.
Just last week, Facebook removed nearly 700 pages from Facebook and most of them were associated to Congress, one of India's political parties for exhibiting ‘inauthentic behavior’.
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