Article 5ET43 Twitter rolls out vaccine misinformation warning labels and a strike-based system for violations

Twitter rolls out vaccine misinformation warning labels and a strike-based system for violations

by
Taylor Hatmaker
from Crunch Hype on (#5ET43)

Twitter announced Monday that it would begin injecting new labels into users' timelines to push back against misinformation that could disrupt the rollout of COVID-19 vaccines. The labels, which will also appear as pop-up messages in the retweet window, are the company's latest product experiment designed to shape behavior on the platform for the better.

The company will attach notices to tweeted misinformation warning users that the content may be misleading" and linking out to vetted public health information. These initial vaccine misinformation sweeps, which begin today, will be conducted by human moderators at Twitter and not automated moderation systems.

Twitter says the goal is to use these initial determinations to train its AI systems so that down the road a blend of human and automated efforts will scan the site for vaccine misinformation. The latest misinformation measure will target tweets in English before expanding.

Twitter also introduced a new strike system for violations of its pandemic-related rules. The new system is modeled after a set of consequences it implemented for voter suppression and voting-related misinformation. Within that framework, a user with two or three strikes" faces a 12-hour account lockout. With four violations, they lose account access for one week, with permanent suspension looming after five strikes.

Twitter introduced its first pandemic-specific policies a year ago, banning tweets promoting false treatment or prevention claims along with any content that could put people at higher risk of spreading COVID-19. In December, Twitter added new rules focused on popular vaccine conspiracy theories and announced that warning labels were on the way.

Twitter broadly bans any COVID-19 tweets that could help the virus spread

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