Dynamic reading in a digital age: new insights on cognition

Liao, Sixin; Yu, Lili; Kruger, Jan-Louis; Reichle, Erik D.

doi:10.1016/j.tics.2023.08.002

Cited by 4 publications

(1 citation statement)

References 74 publications

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“…For example, providing multiple versions of existing resources around vaccines, climate change, and school education, could increase the likelihood of good information going viral. In an age where attention spans are being impaired by digital technologies [15,16], where screen-reading is becoming more common despite its negative impacts on information comprehension [17], and where bad-faith actors are quick to exploit our everyday human anxieties for profit, styling could give good information a fighting chance at penetrating online echo chambers, and reigniting interest in the truth of the world around us.…”

Section: Discussionmentioning

confidence: 99%

Making Facts Fun!: Results from a style-based intervention into online misinformation ecosystems

Lee,

Booth,

Farid

et al. 2024

Preprint

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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 simply more engaging explanations for our world. Can we combat misinformation by making facts fun? We present the findings of a controlled experiment testing this hypothesis, in which we tailored messaging about consensus-based information to the communication styles used by three vulnerable cohorts. Our results demonstrate that styled message generated higher engagement from users than the neutral-toned variants. We introduce our theory of the misinformation ecosystem as a way of understanding online communities and their communication styles, and profiles of three personas representative of the cohorts included in our experiment. Our findings suggest that styled messaging for consensus-based information can reach vulnerable fringe communities that are otherwise resistant to external influence, providing considerable implications about possible future interventions to counter misinformation.

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Section: Discussionmentioning

confidence: 99%