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Warning users about misinformation on social media is not a simple usabilitytask. Soft moderation has to balance between debunking falsehoods and avoidingmoderation bias while preserving the social media consumption flow. Platformsthus employ minimally distinguishable warning tags with generic text under asuspected misinformation content. This approach resulted in an unfavorableoutcome where the warnings "backfired" and users believed the misinformationmore, not less. In response, we developed enhancements to the misinformationwarnings where users are advised on the context of the information hazard andexposed to standard warning iconography. We ran an A/B evaluation with theTwitter's original warning tags in a 337 participant usability study. Themajority of the participants preferred the enhancements as a nudge towardrecognizing and avoiding misinformation. The enhanced warning tags were mostfavored by the politically left-leaning and to a lesser degree moderateparticipants, but they also appealed to roughly a third of the right-leaningparticipants. The education level was the only demographic factor shapingparticipants' preferences. We use our findings to propose user-tailoredimprovements in the soft moderation of misinformation on social media.

Meaningful Context, a Red Flag, or Both? Users' Preferences for Enhanced Misinformation Warnings on Twitter