San Francisco: In yet another attempt to fight spam on its platform, Twitter has announced a new set of guidelines that will prohibit bots from posting mass tweets as well as prevent automated tweets.

 One of the most common spam violations is the use of multiple accounts and the Twitter developer platform to artificially amplify or inflate the prominence of certain tweets.

 "Twitter prohibits any attempt to use automation for the purposes of posting or disseminating spam, and such behaviour may result in enforcement action," the company said in a blog post on Thursday.

 The company is making changes to TweetDeck and the Twitter API to limit the ability of users to perform coordinated actions across multiple accounts.

 Users of TweetDeck will no longer be able to select multiple accounts through which to perform an action such as tweeting, retweeting, liking or following.

 "These changes are an important step in ensuring we stay ahead of malicious activity targeting the crucial conversations taking place on Twitter -- including elections in the United States and around the world," said Yoel Roth who handles API Policy at Twitter.

 Twitter cautioned not to simultaneously post identical or substantially similar content to multiple accounts.

 "For example, your service should not permit a user to select several accounts they control from which to publish a given Tweet," the post read.

 As an alternative to posting identical content, you can retweet content from one account from the other accounts you wish to share that post from.

 "This should only be done from a small number of distinct accounts that you directly control. Please note that bulk, aggressive, or very high-volume automated retweeting is not permitted under the Automation Rules, and may be subject to enforcement actions," Roth warned.

 "If your app or service includes features which allow users to perform simultaneous actions across multiple accounts, you should make changes to bring it into compliance with this policy by March 23," Twitter said.

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New Delhi  (PTI): A Private Member's Bill seeking a clear legal framework for regulation of deepfakes has been introduced in the Lok Sabha.

The Regulation of Deepfake Bill, introduced by Shiv Sena leader Shrikant Shinde in the House on Friday, aims to protect citizens by mandating prior consent from individuals depicted in deepfake content.

"Misuse of deepfakes for harassment, deception and misinformation has escalated, creating an urgent need for regulatory safeguards," Shinde said.

The Bill also lists penalties for offenders creating or disseminating deepfake content with malicious intent.

"With advancements in artificial intelligence and deep learning, deepfake technology has emerged as a significant tool for media manipulation. While the technology has potential applications in education, entertainment and creative fields, it also poses severe risks when misused, threatening individual privacy, national security and public trust," Shinde said in the statement of objects and reasons in the Bill.

The proposed Bill seeks to establish a clear legal framework to govern the creation, distribution and application of deepfakes in India, said Shinde, a three-term Lok Sabha member from Kalyan.

The Bill also seeks to establish the Deepfake Task Force, a dedicated body to combat national security implications and evaluate the influence of deepfakes on privacy, civic participation, and potential election interference.

The task force will collaborate with academic and private sector institutions to develop technologies that detect manipulated content, thereby promoting credibility in digital media.

The Bill also proposes to establish a fund to support public and private sector initiatives in the detection and deterrence of advanced image manipulation.

A Private Member's Bill is a procedure of Parliament that enables lawmakers, who are not ministers, to draw attention to issues that might not be represented in Government Bills or to highlight the issues and gaps in the existing legal framework that require legislative intervention.