Abstract:Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioral research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whethe… Show more
“…Study 6 had two goals: (i) to replicate the findings from study 1 (the emotional language video) 1 year after it was originally conducted and (ii) to check whether manipulating the order in which participants respond to the outcome measures for each of the stimuli (technique recognition, trustworthiness, and sharing) influences the results. This is important because eliciting (for example) the manipulativeness and/or trustworthiness of a survey item before willingness to share might influence the responses participants give for the sharing measure, as participants may be primed to think about the item’s manipulativeness before providing their sharing intentions ( 29 , 30 ). Therefore, alongside the experimental condition, participants were randomly assigned to one of three response orders [manipulativeness – trustworthiness – sharing (MTS), n = 364; trustworthiness – sharing – manipulativeness (TSM), n = 361; or sharing – manipulativeness – trustworthiness (SMT); n = 343]; see Materials and Methods for more details.…”
Section: Resultsmentioning
confidence: 99%
“…For study 6, we varied the outcome measure response order across participants, as one of the study’s goals was to check whether the order in which participants respond to the measures beneath each of the stimuli has any bearing on the results ( 29 , 30 ). Participants were randomly assigned to one of three response orders (after being randomly assigned to an experimental condition): MTS ( n = 364), TSM ( n = 361), or SMT ( n = 343).…”
Section: Methodsmentioning
confidence: 99%
“…1) This post is manipulative/is incoherent/contains a false dichotomy/ constitutes scapegoating/contains an ad hominem 2) I am confident in my assessment of this post's manipulativeness/ incoherence/of whether it contains a false dichotomy/whether it constitutes scapegoating/whether it contains an ad hominem 3) This post is trustworthy 4) I would share this post with people in my network For study 6, we varied the outcome measure response order across participants, as one of the study's goals was to check whether the order in which participants respond to the measures beneath each of the stimuli has any bearing on the results (29,30). Participants were randomly assigned to one of three response orders (after being randomly assigned to an experimental condition): MTS (n = 364), TSM (n = 361), or SMT (n = 343).…”
Online misinformation continues to have adverse consequences for society. Inoculation theory has been put forward as a way to reduce susceptibility to misinformation by informing people about how they might be misinformed, but its scalability has been elusive both at a theoretical level and a practical level. We developed five short videos that inoculate people against manipulation techniques commonly used in misinformation: emotionally manipulative language, incoherence, false dichotomies, scapegoating, and ad hominem attacks. In seven preregistered studies, i.e., six randomized controlled studies (
n
= 6464) and an ecologically valid field study on YouTube (
n
= 22,632), we find that these videos improve manipulation technique recognition, boost confidence in spotting these techniques, increase people’s ability to discern trustworthy from untrustworthy content, and improve the quality of their sharing decisions. These effects are robust across the political spectrum and a wide variety of covariates. We show that psychological inoculation campaigns on social media are effective at improving misinformation resilience at scale.
“…Study 6 had two goals: (i) to replicate the findings from study 1 (the emotional language video) 1 year after it was originally conducted and (ii) to check whether manipulating the order in which participants respond to the outcome measures for each of the stimuli (technique recognition, trustworthiness, and sharing) influences the results. This is important because eliciting (for example) the manipulativeness and/or trustworthiness of a survey item before willingness to share might influence the responses participants give for the sharing measure, as participants may be primed to think about the item’s manipulativeness before providing their sharing intentions ( 29 , 30 ). Therefore, alongside the experimental condition, participants were randomly assigned to one of three response orders [manipulativeness – trustworthiness – sharing (MTS), n = 364; trustworthiness – sharing – manipulativeness (TSM), n = 361; or sharing – manipulativeness – trustworthiness (SMT); n = 343]; see Materials and Methods for more details.…”
Section: Resultsmentioning
confidence: 99%
“…For study 6, we varied the outcome measure response order across participants, as one of the study’s goals was to check whether the order in which participants respond to the measures beneath each of the stimuli has any bearing on the results ( 29 , 30 ). Participants were randomly assigned to one of three response orders (after being randomly assigned to an experimental condition): MTS ( n = 364), TSM ( n = 361), or SMT ( n = 343).…”
Section: Methodsmentioning
confidence: 99%
“…1) This post is manipulative/is incoherent/contains a false dichotomy/ constitutes scapegoating/contains an ad hominem 2) I am confident in my assessment of this post's manipulativeness/ incoherence/of whether it contains a false dichotomy/whether it constitutes scapegoating/whether it contains an ad hominem 3) This post is trustworthy 4) I would share this post with people in my network For study 6, we varied the outcome measure response order across participants, as one of the study's goals was to check whether the order in which participants respond to the measures beneath each of the stimuli has any bearing on the results (29,30). Participants were randomly assigned to one of three response orders (after being randomly assigned to an experimental condition): MTS (n = 364), TSM (n = 361), or SMT (n = 343).…”
Online misinformation continues to have adverse consequences for society. Inoculation theory has been put forward as a way to reduce susceptibility to misinformation by informing people about how they might be misinformed, but its scalability has been elusive both at a theoretical level and a practical level. We developed five short videos that inoculate people against manipulation techniques commonly used in misinformation: emotionally manipulative language, incoherence, false dichotomies, scapegoating, and ad hominem attacks. In seven preregistered studies, i.e., six randomized controlled studies (
n
= 6464) and an ecologically valid field study on YouTube (
n
= 22,632), we find that these videos improve manipulation technique recognition, boost confidence in spotting these techniques, increase people’s ability to discern trustworthy from untrustworthy content, and improve the quality of their sharing decisions. These effects are robust across the political spectrum and a wide variety of covariates. We show that psychological inoculation campaigns on social media are effective at improving misinformation resilience at scale.
“…Researchers could also modify presentations of the vignette content to offer them in different modalities or information environments (Corneille et al, 2020 ; Fazio, Dolan, & Marsh, 2015b ). For example, with growing interest in people’s uptake of information online, the vignettes could be adapted as short-form videos (e.g., Butler et al, 2009 ), as posts on social media (e.g., Pennycook et al, 2021a ), or stripped of a narrative component completely (e.g., Fazio, Dolan, & Marsh, 2015b ; Salovich et al, 2022 ). These kinds of manipulations are possible with the current materials as they are intentionally brief, simple, flexible, allow for participant accountability, and are realistic.…”
“…Furthermore, the stimuli used in survey experiments are typically collected, or even created, by the researchers. Thus, these posts may differ in important ways from the content that users would actually experience on their own social-media newsfeeds (Pennycook, Binnendyk, et al, 2021). For example, posts in survey experiments are typically presented without the social context that is such a core feature of social media (e.g., information about which user shared the content and which other users liked or commented on the content).…”
Online behavioral data, such as digital traces from social media, have the potential to allow researchers an unprecedented new window into human behavior in ecologically valid everyday contexts. However, research using such data is often purely observational, which limits its usefulness for identifying causal relationships. Here we review recent innovations in experimental approaches to studying online behavior, with a particular focus on research related to misinformation and political psychology. In hybrid lab-field studies, exposure to social-media content can be randomized, and the impact on attitudes and beliefs can be measured using surveys, or exposure to treatments can be randomized within survey experiments, and their impact on subsequent online behavior can be observed. In field experiments conducted on social media, randomized treatments can be administered directly to users in the online environment (e.g., via social-tie invitations, private messages, or public posts) without revealing that they are part of an experiment, and the effects on subsequent online behavior can then be observed. The strengths and weaknesses of each approach are discussed, along with practical advice and central ethical constraints on such studies.
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