(Mis)perceptions and Engagement on Twitter: COVID-19 Vaccine Rumors on Efficacy and Mass Immunization Effort

Sharevski, Filipo; Allice, Huff,; Jachim, Peter; Pieroni, Emma

doi:10.48550/arxiv.2111.05815

Cited by 1 publication

(1 citation statement)

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“…Building on the exposure to contextual warning tags, a qualitative inquiry of how they fare in the misinformation front is important because the soft moderation employed by social media in general, and Twitter in particular, so far has yielded far from desirable results [39]. Users' often materialize their identity and political personas within social media and Twitter discourse [26,70], therefore we also investigated how this materialization shapes the preferences for our proposed soft moderation nudges. Based on this argumentation, the resulting research questions were:…”

Section: Improbable Interpretations Of Facts (Ffs)mentioning

confidence: 99%

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

Sharevski¹,

Devine²,

Pieroni³

et al. 2022

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Warning users about misinformation on social media is not a simple usability task. Soft moderation has to balance between debunking falsehoods and avoiding moderation bias while preserving the social media consumption flow. Platforms thus employ minimally distinguishable warning tags with generic text under a suspected misinformation content. This approach resulted in an unfavorable outcome where the warnings "backfired" and users believed the misinformation more, not less. In response, we developed enhancements to the misinformation warnings where users are advised on the context of the information hazard and exposed to standard warning iconography. We ran an A/B evaluation with the Twitter's original warning tags in a 337 participant usability study. The majority of the participants preferred the enhancements as a nudge toward recognizing and avoiding misinformation. The enhanced warning tags were most favored by the politically left-leaning and to a lesser degree moderate participants, but they also appealed to roughly a third of the right-leaning participants. The education level was the only demographic factor shaping participants' preferences. We use our findings to propose user-tailored improvements in the soft moderation of misinformation on social media. CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; Usability in security and privacy.

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Section: Improbable Interpretations Of Facts (Ffs)mentioning

confidence: 99%