Popping misinformation bubbles: persona-informed style-based messaging in Facebook ad experiments

Abstract Misinformation is often viewed as an information problem, attributed to people’s poor understanding of consensus-based facts. While this is a contributing factor, we propose that misinformation and conspiracy are also communicated differently to their audiences. Can we better reach these audiences by matching the styles used in online communities? We present the findings of a multiple Facebook ad study in which we tailored consensus-based messages to communication styles associated with three persona-informed Facebook audiences. Our results demonstrate that styled messages led to higher engagement among targeted Facebook audiences than the neutral-toned variants. We introduce our concept of the misinformation ecosystem, based on our Australian dataset, as a way of understanding online communities and their communication styles, and develop three personas whose demographic and interest profiles informed the Facebook ad audiences used in our experiment. Our findings suggest that styled messaging about consensus-based information can better engage audiences associated with vulnerable communities otherwise resistant to external influence, providing considerable implications about possible future interventions to counter misinformation.

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Publication Details

Journal
Journal of Computational Social Science
Published
2026-09-24
DOI
https://doi.org/10.1007/s42001-026-00493-0
Primary Topic
Misinformation and Its Impacts
Type
article
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article

Popping misinformation bubbles: persona-informed style-based messaging in Facebook ad experiments

Emily Booth, Marian-Andrei Rizoiu, Jooyoung Lee, Hany Farid
Journal of Computational Social Science
Misinformation and Its Impacts
article

Popping misinformation bubbles: persona-informed style-based messaging in Facebook ad experiments

Emily Booth, Marian-Andrei Rizoiu, Jooyoung Lee, Hany Farid
article en

Abstract

Abstract Misinformation is often viewed as an information problem, attributed to people’s poor understanding of consensus-based facts. While this is a contributing factor, we propose that misinformation and conspiracy are also communicated differently to their audiences. Can we better reach these audiences by matching the styles used in online communities? We present the findings of a multiple Facebook ad study in which we tailored consensus-based messages to communication styles associated with three persona-informed Facebook audiences. Our results demonstrate that styled messages led to higher engagement among targeted Facebook audiences than the neutral-toned variants. We introduce our concept of the misinformation ecosystem, based on our Australian dataset, as a way of understanding online communities and their communication styles, and develop three personas whose demographic and interest profiles informed the Facebook ad audiences used in our experiment. Our findings suggest that styled messaging about consensus-based information can better engage audiences associated with vulnerable communities otherwise resistant to external influence, providing considerable implications about possible future interventions to counter misinformation.

Journal of Computational Social ScienceVol. 9(4)
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Openalex Percentile: Top 4%
Misinformation and Its Impacts
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Popping misinformation bubbles: persona-informed style-based messaging in Facebook ad experiments — Emily Booth, Marian-Andrei Rizoiu, et al. · Journal of Computational Social Science (2026) | TGRS Research Map | TGRS