In 2022, Twitter announced a new policy aimed at reducing the spread of viral and misleading information during times of crisis. The policy was focused on any allegations made during a global or national crisis and any false content shared during that time.
According to the company, once it had evidence that someone was sharing a false claim, it would stop recommending that content on the Home timeline, Explore, and Search tabs — reducing the potential harm of misinformation without necessarily removing the content.
The announcement acknowledged the harm that can be caused by algorithmically amplified content shared with the platform's 229 million active daily users. The company defined a time of crisis as a situation when there might be "a widespread threat to life, physical safety, health, or basic subsistence." Content flagged as false or misleading would be hidden behind an overlay informing users that it might not be factual.
The announcement came shortly after Elon Musk accused the platform of having a high number of fake accounts and bots — and was part of a broader tension around Musk's then-ongoing acquisition process, which ultimately closed in October 2022. The platform's approach to misinformation moderation has changed substantially since.
The broader lesson that remains relevant: every major platform's content policy decisions directly affect how misinformation is amplified or suppressed — and therefore directly affect the trust signals that AI engines retrieve when synthesizing answers about events, people, and brands. Platform-level moderation policy is now a PR consideration, not just a technology consideration.
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
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Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
