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KOMPAS.com – Twitter Indonesia Pbades Last Effort to Eradicate False Accounts, Spam and Bot Disrupting Users' Convenience in information sharing. If previously only based on reports, now Twitter has started to rely on technology machine learning (ML).
In his official blog, Twitter indicates that its ML owner is able to identify and eradicate network accounts spam automatically. In this way, Twitter can prevent unscrupulous individuals who want to manipulate the conversation.
At trials in May 2018, the ML Twitter system found and repressed more than 9.9 million spam accounts a week. This number has increased significantly compared to 6.4 million accounts in 2017.
"Thanks to technological improvements, we can now remove 214% more accounts that violate our spam policies year after year" , says the official blog on Twitter.
"At the same time, the average number of spam received by our system continues to decline, from 25,000 per day in March to 17,000 per day", quoted by KompasTekno Friday (29 / 6/2018 )
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In addition to using ML, there are four concrete Twitter efforts to eradicate irresponsible accounts, more details as follows .
First, reduce the visibility of suspicious accounts by entering them in the "read-line" list. Suspicious accounts are coordinated and grouped accounts.
The account will be immediately removed from the followers columns of people and their various commitments to pbad checks, such as confirmation of the phone number. The account was immediately restored three suspicions Twitter was wrong.
Second, improve the registration process. Twitter invites you to create a new account to confirm your email address or phone number when you register. In this way, the spam account will be harder to record.
Third, check the existing accounts to see if there are signs of automatic registration. This is to ensure that each account goes through a few simple automated security checks. Thanks to this effort, Twitter claims that more than 5,000 spam registrations were avoided in the beginning.
Read also: Twitter will transmit a secret conversation feature?
Finally, the expansion of a malicious behavior detection system. There are several processes that are automated when the system feels something suspicious. This is to accelerate the process of eradication.
With his various efforts, Twitter hopes his microblog can be a healthy place to discuss, as well as share accurate and relevant information.
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