WhatsApp Bans Over 23 Lakh s in India in October 4ve2 'Proactively' Barred 8.1 Lakh s

WhatsApp previously revealed that it had banned 26.85 lakh s in India in September. 48263c

By ANI | Updated: 1 December 2022 14:09 IST

Photo Credit: Unsplash/ Alexander Shatov 2f105

WhatsApp banned as many as 811,000 of these 23 lakh s before any reports from s

Highlights

WhatsApp also deployed tools and resources to prevent harmful behaviour
It gets negative in the form of reports and blocks
WhatsApp said a team of analysts augments these systems to over time

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Instant messaging and voice-over-IP service WhatsApp on Wednesday said the firm banned over 23 lakh s in the month of October, according to a spokesperson of WhatsApp. In another statement, it said as many as 811,000 of these 23 lakh s were proactively banned, before any reports from s.

A WhatsApp spokesperson in a statement said, "WhatsApp is an industry leader in preventing abuse, among end-to-end encrypted messaging services. Over the years, we have consistently invested in Artificial Intelligence and other state-of-the-art technology, data scientists and experts, and in processes, in order to keep our s safe on our platform."

The spokesperson said, "In accordance with the IT Rules 2021, we've published our report for the month of October 2022. This -safety report contains details of the complaints received and the corresponding action taken by WhatsApp, as well as WhatsApp's own preventive actions to combat abuse on our platform."

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As captured in the latest monthly report, WhatsApp banned over 23 lakh million s in the month of October, according to the spokesperson.

In a statement released by the firm, 26,85,000 WhatsApp s were banned from the instant messaging service between September 1 and 30 this year. As many as 872,000 of these s were proactively banned, before any reports from s.

According to the firm's statement, in addition to responding to and taking action on complaints through the grievance channel, WhatsApp also deployed tools and resources to prevent harmful behaviour on the platform. It said, "We are particularly focused on prevention because we believe it is much better to stop harmful activity from happening in the first place than to detect it after harm has occurred."

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It said the abuse detection operates at three stages of an 's lifestyle: At registration, during messaging, and in response to negative , which we receive in the form of reports and blocks.

The statement from WhatsApp said a team of analysts augments these systems to evaluate edge cases and help improve our effectiveness over time.

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