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

05/02/2022
by   Filipo Sharevski, et al.
0

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.

READ FULL TEXT
research
05/17/2023

Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor

Social media platforms moderate content for each user by incorporating t...
research
04/23/2023

Experts prefer text but videos help novices: an analysis of the utility of multi-media content

Multi-media increases engagement and is increasingly prevalent in online...
research
12/12/2022

LAMBRETTA: Learning to Rank for Twitter Soft Moderation

To curb the problem of false information, social media platforms like Tw...
research
04/01/2021

Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes

Twitter, prompted by the rapid spread of alternative narratives, started...
research
10/11/2021

Perspective-taking to Reduce Affective Polarization on Social Media

The intensification of affective polarization worldwide has raised new q...
research
09/22/2022

Why More Text is (Often) Better: Themes from Reader Preferences for Integration of Charts and Text

Given a choice between charts with minimal text and those with copious t...
research
04/25/2018

Real-Time Inference of User Types to Assist with More Inclusive Social Media Activism Campaigns

Social media provides a mechanism for people to engage with social cause...

Please sign up or login with your details

Forgot password? Click here to reset