Twitter's new policy on trolls is 'out of sight, out of mind'

Twitter's new policy on trolls is 'out of sight, out of mind'

Twitter's new policy on trolls is 'out of sight, out of mind'

"Because this content doesn't violate our policies, it will remain on Twitter, and will be available if you click on "Show more replies" or choose to see everything in your search setting", said a joint statement by Del Harvey, Twitter's vice president on trust and safety and David Gascam, Twitter's director of product management with responsibility for health. With these upcoming changes, tweets in conversations and search will be ranked based on a greater variety of data that takes into account things like the number of accounts registered to that user, whether that tweet prompted people to block the accounts and the IP address. This is, however, a very 2014 way to look at content moderation and I think it's grown pretty apparent as of late that Twitter needs to lean on its algorithmic intelligence to solve this rather than putting the burden entirely on users hitting the report button. Additionally, people's behaviors will be taken into account to determine whether their tweet should be featured more prominently when other users search Twitter for a particular topic. "Others don't but are behaving in ways that distort the conversation".

"Some troll-like behavior is fun, good and humorous. The result is that people contributing to the healthy conversation will be more visible in conversations and search", writes Twitter.

Twitter executives Harvey and Gascam said that the initiative is part of an ongoing attempt "to improve the health of the public conversation on Twitter".

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According to Twitter, the majority of accounts reported make up less than 1 per cent of its total user base, which now stands at 336 million monthly active users.

"There are many new signals we're taking in, most of which are not visible externally", the post reads. The automated tools can also check on whether those users have ties to or interact with accounts that violate Twitter rules.

Twitter is using machine learning to study whether email addresses are unconfirmed, or whether users are signing up for multiple accounts at the same time.

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"These signals will now be considered in how we organise and present content in communal areas like conversation and search".

"We're encouraged by the results we've seen so far, but also recognise that this is just one step on a much longer journey to improve the overall health of our service and your experience on it", they said.

The company said tests of the new system had resulted in fewer abuse reports being filed, suggesting people were having a "better experience".

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