Datensatz: Supplementary material from "Misinformation interventions and online sharing behavior : Lessons learned from two preregistered field studies"
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The spread of misinformation on social media continues to pose challenges. While prior research has shown some success in reducing susceptibility to misinformation at scale, how individual-level interventions impact the quality of content shared on social networks remains understudied. Across two pre-registered longitudinal studies, we ran two Twitter/X ad campaigns, targeting a total of 967,640 Twitter/X users with either a previously validated “inoculation” video about emotional manipulation or a control video. We hypothesized that Twitter/X users who saw the inoculation video would engage less with negative-emotional content and share less content from unreliable sources. We do not find evidence for our hypotheses, observing no meaningful changes in posting or retweeting post-intervention. Our findings are most likely compromised by Twitter/X’s “fuzzy matching” policy, which introduced substantial noise in our data (~7.5% of targeted individuals were actually exposed to the intervention). Our findings are thus likely the result of treatment non-compliance rather than “true” null effects. Importantly, we also demonstrate that different statistical analyses and time windows (looking at the intervention’s effects over 1 hour versus 6 hours or 24 hours, etc.) can yield different and even opposite significant effects, highlighting the risk of interpreting noise from field studies as signal.
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ROOZENBEEK, Jon, Jana LASSER, Malia MARKS, Tianzhu QIN, David GARCIA, Beth GOLDBERG, Ramit DEBNATH, Sander VAN DER LINDEN, Stephan LEWANDOWSKY, 2025. Supplementary material from "Misinformation interventions and online sharing behavior : Lessons learned from two preregistered field studies"BibTex
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<dcterms:abstract>The spread of misinformation on social media continues to pose challenges. While prior research has shown some success in reducing susceptibility to misinformation at scale, how individual-level interventions impact the quality of content shared on social networks remains understudied. Across two pre-registered longitudinal studies, we ran two Twitter/X ad campaigns, targeting a total of 967,640 Twitter/X users with either a previously validated “inoculation” video about emotional manipulation or a control video. We hypothesized that Twitter/X users who saw the inoculation video would engage less with negative-emotional content and share less content from unreliable sources. We do not find evidence for our hypotheses, observing no meaningful changes in posting or retweeting post-intervention. Our findings are most likely compromised by Twitter/X’s “fuzzy matching” policy, which introduced substantial noise in our data (~7.5% of targeted individuals were actually exposed to the intervention). Our findings are thus likely the result of treatment non-compliance rather than “true” null effects. Importantly, we also demonstrate that different statistical analyses and time windows (looking at the intervention’s effects over 1 hour versus 6 hours or 24 hours, etc.) can yield different and even opposite significant effects, highlighting the risk of interpreting noise from field studies as signal.</dcterms:abstract>
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