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Explaining Twitter's inability to effectively moderate content during the COVID-19 pandemic
David A Broniatowski1, Wei Zhong2, Joseph R Simons3
1Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, 20052, USA. broniatowski@gwu.edu.
Twitter's efforts to remove vaccine misinformation during COVID-19 were largely ineffective. Skeptical accounts continued spreading low-quality content, and moderation actions even increased virality and decreased information quality among related accounts.
Area of Science:
- Social Media Studies
- Public Health
- Information Science
Background:
- Social media platforms face challenges balancing content moderation with free speech.
- Platform design may impact the effectiveness of content moderation strategies.
- During the COVID-19 pandemic, platforms removed medical misinformation, but efficacy remains unevaluated.
Purpose of the Study:
- To evaluate the efficacy of Twitter's content moderation policies in curbing vaccine misinformation during the COVID-19 pandemic.
Main Methods:
- Analysis of vaccine-skeptical and pro-vaccine Twitter account clusters.
- Assessment of tweet volume, virality, and content quality before and after moderation actions.
- Examination of a large-scale account removal event on January 8, 2021.
Main Results:
- Vaccine-skeptical clusters generated more vaccine-related tweets and spread lower-quality content despite moderation.
- Sustained content and account removals did not significantly reduce misinformation spread from skeptical clusters.
- A large-scale account removal event temporarily reduced targeted activity but increased virality and decreased information quality among related accounts.
Conclusions:
- Twitter's interventions, including deplatforming and content removal, showed limited efficacy in curtailing vaccine misinformation.
- Content moderation strategies may inadvertently amplify misinformation or shift it to related accounts.
- Platforms with similar architectures may encounter comparable challenges in moderating harmful content effectively.
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