Health news sharing is reflected in distributed reward-related brain activity

Neuroimaging has identified individual brain regions, but not yet whole-brain patterns, that correlate with the population impact of health messaging. We used neuroimaging to measure whole-brain responses to health news articles across two studies. Beyond activity in core reward value-related regions (ventral striatum, ventromedial prefrontal cortex), our approach leveraged whole-brain responses to each article, quantifying expression of a distributed pattern meta-analytically associated with reward valuation. The results indicated that expression of this whole-brain pattern was associated with population-level sharing of these articles beyond previously identified brain regions and self-report variables. Further, the efficacy of the meta-analytic pattern was not reducible to patterns within core reward value-related regions but rather depended on larger-scale patterns. Overall, this work shows that a reward-related pattern of whole-brain activity is related to health information sharing, advancing neuroscience models of the mechanisms underlying the spread of health information through a population

Activity in the brain's valuation and mentalizing networks is associated with propagation of online recommendations

Word of mouth recommendations influence a wide range of choices and behaviors. What takes place in the mind of recommendation receivers that determines whether they will be successfully influenced? Prior work suggests that brain systems implicated in assessing the value of stimuli (i.e., subjective valuation) and understanding others' mental states (i.e., mentalizing) play key roles. The current study used neuroimaging and natural language classifiers to extend these findings in a naturalistic context and tested the extent to which the two systems work together or independently in responding to social influence. First, we show that in response to text-based social media recommendations, activity in both the brain's valuation system and mentalizing system was associated with greater likelihood of opinion change. Second, participants were more likely to update their opinions in response to negative, compared to positive, recommendations, with activity in the mentalizing system scaling with the negativity of the recommendations. Third, decreased functional connectivity between valuation and mentalizing systems was associated with opinion change. Results highlight the role of brain regions involved in mentalizing and positive valuation in recommendation propagation, and further show that mentalizing may be particularly key in processing negative recommendations, whereas the valuation system is relevant in evaluating both positive and negative recommendations

The relationship between agency, communion, and neural processes associated with conforming to social influence

Social influence is ubiquitous in our daily lives, influencing our opinions, beliefs, and behaviors. Individual differences may determine who is most likely to conform to the opinions of others. More specifically, individual differences in interdependent and independent self-construal determine an individual's sensitivity to and focus on their social surroundings. Relatedly, society traditionally ascribes and prescribes different levels of agency (independence) and communion (interdependence) to men and women. Here, we examined how individual differences in self-construal, and their congruence with gender expectations, influence how people process and respond to social feedback. Results from independent behavioral and neuroimaging samples show that a stronger interdependent self-construal was associated with increased likelihood of conformity, whereas an independent self-construal was not. Further, neuroimaging data suggests that the relationship between brain activity and conformity is moderated by the congruence of gender stereotypes and self-construal. Specifically, stereotypically congruent women (with stronger interdependence) and men (with stronger independence) showed increased activity in mentalizing regions (and value regions in men) when conforming. Stereotypically incongruent women (with stronger independence) and men (with stronger interdependence) showed decreased mentalizing activity when conforming. These results shed light on underlying (neuro)psychological mechanisms that are associated with conformity among different groups

Neural signals predict information sharing across cultures

Information sharing influences which messages spread and shape beliefs, behavior, and culture. In a preregistered neuroimaging study conducted in the United States and the Netherlands, we demonstrate replicability, predictive validity, and generalizability of a brain-based prediction model of information sharing. Replicating findings in Scholz et al., Proc. Natl. Acad. Sci. U.S.A. 114, 2881–2886 (2017), self-, social-, and value-related neural signals in a group of individuals tracked the population sharing of US news articles. Preregistered brain-based prediction models trained on Scholz et al. (2017) data proved generalizable to the new data, explaining more variance in population sharing than self-report ratings alone. Neural signals (versus self-reports) more reliably predicted sharing cross-culturally, suggesting that they capture more universal psychological mechanisms underlying sharing behavior. These findings highlight key neurocognitive foundations of sharing, suggest potential target mechanisms for interventions to increase message effectiveness, and advance brain-as-predictor research

Invoking self-related and social thoughts impacts online information sharing

Online sharing impacts which information is widely available and influential in society. Yet, systematically influencing sharing behavior remains difficult. Past research highlights two factors associated with sharing: the social and self-relevance of the to-be-shared content. Based on this prior neuroimaging work and theory, we developed a manipulation in the form of short prompts that are attached to media content (here health news articles). These prompts encourage readers to think about how sharing the content may help them to fulfill motivations to present themselves positively (self-relevance) or connect positively to others (social relevance). Fifty-three young adults completed this pre-registered experiment while undergoing functional magnetic resonance imaging. Ninety-six health news articles were randomly assigned to three within-subject conditions that encouraged self-related or social thinking or a control. Invoking self-related or social thoughts about health-related news (vs control) (i) causally increased brain activity in a priori regions of interest chosen for their roles in processing social and self-relevance and (ii) causally impacted self-reported sharing intentions. This study provides evidence corroborating prior reverse inferences regarding the neural correlates of sharing. It further highlights the feasibility and utility of targeting neuropsychological processes to systematically facilitate online information spread

Media content sharing as a value-based decision

Exposure to media content (e.g. persuasive campaigns) affects daily behaviors, but these effects are partially determined by whether and how people who are exposed to the content share it with their peers. To decide whether to share, potential sharers need to compare and integrate diverse sources of information including characteristics of the media content and various social influences. What are the mechanisms that enable sharers to make such complex decisions quickly and effortlessly? We review evidence that sharing is preceded by a value-based decision-making process supported by three key characteristics of the so-called neural valuation system (domain-generality, value integration, and context-dependence). Finally, we describe theoretical and methodological advances that can be gained from conceptualizing sharing as a value-based decision-making process