Intersubject correlations in reward and mentalizing brain circuits separately predict persuasiveness of two types of ISIS video propaganda.

The Islamist group ISIS has been particularly successful at recruiting Westerners as terrorists. A hypothesized explanation is their simultaneous use of two types of propaganda: Heroic narratives, emphasizing individual glory, alongside Social narratives, which emphasize oppression against Islamic communities. In the current study, functional MRI was used to measure brain responses to short ISIS propaganda videos distributed online. Participants were shown 4 Heroic and 4 Social videos categorized as such by another independent group of subjects. Persuasiveness was measured using post-scan predictions of recruitment effectiveness. Inter-subject correlation (ISC) was used to measure commonality of brain activity time courses across individuals. ISCs in ventral striatum predicted rated persuasiveness for Heroic videos, while ISCs in mentalizing and default networks, especially in dmPFC, predicted rated persuasiveness for Social videos. This work builds on past findings that engagement of the reward circuit and of mentalizing brain regions predicts preferences and persuasion. The observed dissociation as a function of stimulus type is novel, as is the finding that intersubject synchrony in ventral striatum predicts rated persuasiveness. These exploratory results identify possible neural mechanisms by which political extremists successfully recruit prospective members and specifically support the hypothesized distinction between Heroic and Social narratives for ISIS propaganda.

Dynamic Fear in Fear Appeals: Applying Fear Appeals to Environmental Communication in China.

This study investigates the role of dynamic fear in the effectiveness of communicating health threats (i.e. fear appeals) of ground-level ozone among Chinese citizens. An online survey revealed that fear appeal messages effectively enhance the audience's risk perceptions, efficacy beliefs, and acceptance of the message. Crucially, dynamic fear reduction process positively predicts engagement in protective behaviors (i.e. danger control process) and negatively predicts engagement in fear control processes, such as message denial. Presenting severity before susceptibility resulted in a more positive attitude toward the message recommendation. These findings highlight that communicating health-threats about climate pollution is effective in raising awareness and motivating protective behaviors. Furthermore, our study underscores the importance of dynamic fear, specifically fear reduction, in increasing fear appeals' effectiveness in communicating climate issues from a health perspective.

Reconsidering the Effectiveness of Fear Appeals: An Experimental Study of Interactive Fear Messaging to Promote Positive Actions on Climate Change.

Masspersonal communication has emerged as a compelling alternative persuasive approach in response to the widespread use of social media. It is crucial to comprehend how observing online interpersonal interactions regarding the fear appeal of climate change can foster pro-environmental behaviors among users. This study examines the effects of vicarious message interactivity in promoting actions against climate change and the underlying mechanisms behind this effect. The results of an online experiment conducted in China (N = 236) revealed that psychological reactance and message elaboration mediated the effects of vicarious message interactivity on behavioral intention in a serial indirect effect. In comparison to static fear appeal, interactive fear appeal proves effective in reducing psychological reactance, promoting message elaboration, and ultimately increasing intention to take actions against climate change. Our findings not only contribute to the literature on interactive communication but also provide insights for environmental-health campaigns on social media.

Facebook's shared articles on HPV vaccination: analysis of persuasive strategies.

BACKGROUND: The current study analyzed articles shared on Facebook between 2019 and 2021 that discuss the HPV vaccine. Results address a gap in knowledge about the persuasive strategies used in HPV vaccine discourse on Facebook. METHODS: Using Buzzsumo.com, we collected 138 articles, shared on Facebook between 2019 and 2021, with the highest "engagement scores," or total number of reactions, comments, and shares. Using a content analysis methodology, three independent coders were trained in using the study codebook, achieved acceptable inter-rater reliability (Krippendorf's alpha = 0.811), and coded each article in Atlas.ti. RESULTS: Seventy-two articles had a positive valence toward the HPV vaccine, 48 had a negative valence, and 18 were mixed-valence or neutral. Pro-vaccine articles presented a variety of evidence types in support of benefits of HPV vaccination. Pro-vaccine articles primarily originated from national and local news sources. Anti-vaccine articles combined presentation of evidence with persuasive arguments and strategies, such as mistrust of institutions, fear appeals, ideological appeals, presenting a high number of arguments or detail, and minimizing the severity of HPV. Three sources were responsible for producing 62.5% of all anti-vaccine articles in the dataset. Mixed-valence or neutral articles mixed cancer prevention discourse with ideological appeals about protecting parental rights, and were mostly produced by local news outlets. CONCLUSION: The results of this study can help health communicators anticipate the types of discourses that vaccine-hesitant parents may have encountered online. Implications and suggestions for practice are discussed.

Evaluating the persuasive influence of political microtargeting with large language models.

Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen; however, the persuasive influence of microtargeting with LLMs remains unclear. Here, we build a custom web application capable of integrating self-reported demographic and political data into GPT-4 prompts in real-time, facilitating the live creation of unique messages tailored to persuade individual users on four political issues. We then deploy this application in a preregistered randomized control experiment (n = 8,587) to investigate the extent to which access to individual-level data increases the persuasive influence of GPT-4. Our approach yields two key findings. First, messages generated by GPT-4 were broadly persuasive, in some cases increasing support for an issue stance by up to 12 percentage points. Second, in aggregate, the persuasive impact of microtargeted messages was not statistically different from that of non-microtargeted messages (4.83 vs. 6.20 percentage points, respectively, P = 0.226). These trends hold even when manipulating the type and number of attributes used to tailor the message. These findings suggest-contrary to widespread speculation-that the influence of current LLMs may reside not in their ability to tailor messages to individuals but rather in the persuasiveness of their generic, nontargeted messages. We release our experimental dataset, GPTarget2024, as an empirical baseline for future research.

"Inoculation" to Resist Misinformation.

This JAMA Insights in the Communicating Medicine series explores the concept of "prebunking," a psychological inoculation technique that could help prevent the spread of misinformation.

Persuasive Narratives About Osteoporosis: Effects of Protagonist Competence, Narrator Point of View, and Subjective Risk.

Narratives have been widely acknowledged as a powerful persuasion tool in health promotion and education. Recently, great efforts have been devoted to identifying message components and causal pathways that maximize a narrative's persuasion power. Specifically, we investigated how narrator point of view and readers' subjective relative risk moderate the effects of protagonist competence on intentions to adopt osteoporosis-prevention behaviors, and proposed identification with the protagonist, self-referencing, and fear arousal as three mediators explaining the effect. Women aged 35 to 55, still young enough to reduce osteoporosis risk, read a narrative in which the 60-year-old female character reflects on either taking actions to prevent osteoporosis (competent protagonist) or failing to do so, resulting in osteoporosis (incompetent protagonist) (N = 563). The narratives were told from either the first- or third-person point of view. We found that women who perceived themselves to be at lower risk for developing osteoporosis relative to their peers identified more with the competent protagonist. For women at higher perceived risk, the competent and incompetent protagonists elicited similar levels of identification. Identification was higher when the protagonist's story was told from the first-person perspective, but only for the incompetent protagonist narrative. Identification, self-referencing, and fear arousal played important mediating roles. Implications for theory development and practice are examined.

A cascading model for nudging employees towards energy-efficient behaviour in tertiary buildings.

Energy-related occupant behaviour in the built environment is considered crucial when aiming towards Energy Efficiency (EE), especially given the notion that people are most often unaware and disengaged regarding the impacts of energy-consuming habits. In order to affect such energy-related behaviour, various approaches have been employed, being the most common the provision of recommendations towards more energy-efficient actions. In this work, the authors extend prior research findings in an effort to automatically identify the optimal Persuasion Strategy (PS), out of ten pre-selected by experts, tailored to a user (i.e., the context to trigger a message, allocate a task or providing cues to enact an action). This process aims to successfully influence the employees' decisions about EE in tertiary buildings. The framework presented in this study utilizes cultural traits and socio-economic information. It is based on one of the largest survey datasets on this subject, comprising responses from 743 users collected through an online survey in four countries across Europe (Spain, Greece, Austria and the UK). The resulting framework was designed as a cascade of sequential data-driven prediction models. The first step employs a particular case of matrix factorisation to rank the ten PP in terms of preference for each user, followed by a random forest regression model that uses these rankings as a filtering step to compute scores for each PP and conclude with the best selection for each user. An ex-post assessment of the individual steps and the combined ensemble revealed increased accuracy over baseline non-personalised methods. Furthermore, the analysis also sheds light on important user characteristics to take into account for future interventions related to EE and the most effective persuasion strategies to adopt based on user data. Discussion and implications of the reported results are provided in the text regarding the flourishing field of personalisation to motivate pro-environmental behaviour change in tertiary buildings.

"Let's get back to normal": emotions mediate the effects of persuasive messages on willingness to vaccinate for COVID-19.

Objective: We examined the effectiveness of three different messages for persuading individuals to get vaccinated against COVID-19, and the role that emotions play in persuasion. Methods: Four hundred-thirty-six participants reported their concern about the COVID-19 pandemic and confidence/hesitancy toward vaccines. Participants were randomly assigned to one of three text conditions: (1) self-interest: a persuasive message that focused on how much of a "serious threat COVID-19 is to you," and to get vaccinated to "protect yourself"; (2) self-interest + altruistic: a persuasive message that focused on the "threat to you and your community" and to get vaccinated to "protect you and your loved ones"; (3) self-interest + altruistic + normal: a persuasive message that included (2) but added "This is the only way we can get back to a normal life."; and, (4) a baseline control: no text. After reading, participants reported their emotions toward COVID-19 vaccines and their willingness to get vaccinated. Results: Individuals in the self-interest + altruistic + normal condition were more willing to get vaccinated compared to the control condition and self-interest + altruistic condition. However, there were no differences in willingness between the self-interest + altruistic + normal condition and the self-interest condition. Moreover, emotions mediated relations between vaccine confidence/hesitancy and willingness. Conclusion: A message that focuses on "getting back to normal" can achieve important public health action by increasing vaccine uptake to protect the population. Future work is needed across multiple countries and contexts (i.e., non-pandemic) to assess message effectiveness.

Moral persuasion for value-laden objections to human papillomavirus vaccination.

The martial art of jiu jitsu capitalizes on the strength of a sparring partner by redirecting their momentum. Jiu jitsu persuasion similarly redirects the concerns motivating an objection in a manner that undermines the objection. This method of persuasion effectively addresses criticisms that motivate vaccine hesitancy, including moral criticisms. Critics argue that human papillomavirus vaccination causes young women to become more promiscuous. Evidence undermines this objection, but such evidence fails to persuade many objectors because of countervailing moral concerns regarding promiscuity. Healthcare professionals, therefore, need to consider supplementing evidence with moral arguments against the objection, using a framework that appeals to the core values motivating vaccine objections. A jiu jitsu model of persuasion is one such framework. By employing a jiu jitsu model healthcare professionals can facilitate collaborative, normative discussion that persuades more objectors and fulfills healthcare professionals' obligations with respect to patient care vis-à-vis vaccination.

Meaningful Media Experiences and Vaccination Message Communication: An Experimental Study with Vaccine-Hesitant Individuals.

Guided by the eudaimonic media and the health persuasion literature, the current study explores how meaningful emotions elicited from entertainment media exposure decreases anti-vaccination attitudes among vaccine-hesitant individuals. Results of a between-subjects experiment (N = 409) showed that participants who viewed meaningful music videos (vs. neutral videos) and vaccination messages embedded in the user-generated comments reported more empathy, less reactance, and less anti-vaccination attitudes. Multigroup analysis revealed that this association was held for participants who were hesitant about whether they would get fully vaccinated, but not for participants who were determined to not get vaccinated. Theoretical and practical implications were discussed.

Exploring the Strategic Use of TikTok for Clinical Trial Recruitment: How audiences' Prior Short-Form Video Usage Influences Persuasive Effects.

Guided by the elaboration likelihood model and framing theory, this study explores the potential of short-form video platforms (e.g. TikTok), for targeted clinical trial recruitment. An online experiment compared doctor vs. peer-led videos addressing logistical or psychological barriers to participation, mimicking common TikTok communication tactics. Results indicate that high (vs. low) TikTok users are more persuaded by recruitment messages, and they exhibit stronger intentions to participate in clinical trials. Although doctor-sourced messages generate greater credibility and a more favorable message attitude, peer-sourced messages may be more effective in increasing participation intention. Lastly, doctor-sourced videos that address logistical barriers and peer-sourced videos that discuss psychological barriers result in higher self-efficacy for clinical trial participation. This study contributes to the growing body of research on new media's role in health communication and provides insights into how to strategically utilize TikTok and other short-form video platforms for clinical trial recruitment.

A Psychoneuroimmunological Reading of Jane Austen's Persuasion in the Context of Bodily Aging.

Jane Austen normally avoids discussing appearance throughout her works. Persuasion constitutes the exception to the rule, as the story focuses on the premature aging experienced by her protagonist, Anne Elliot, seemingly due to disappointed love. Much has been written about Anne's "loss of bloom," but never from the perspective of psychoneuroimmunology, the field that researches the interrelation between psychological processes and the nervous and immune systems. In this paper, we adopt a perspective of psychoneuroimmunology to argue that Austen established a connection between psychological distress, specifically lovesickness, and the development of early senescence signs, and vice versa, since the recovery of love is associated with happiness and physical glow. From a gender perspective, we discuss how Austen brightly reflected these interrelationships through the story of Anne, when the latest psychoneuroimmunological research has actually shown that women age earlier than men as a consequence of psychological turmoil.

Can a health warning label diminish the persuasive effects of health-oriented nutrition advertising on ready-to-drink alcohol product packaging? A randomized experiment.

BACKGROUND AND AIMS: A health warning label (HWL) cautioning about the link between alcohol and cancer may be able to communicate alcohol risks to consumers and potentially counter health-oriented nutrition advertising on ready-to-drink alcoholic beverages. This study aimed to examine the independent and combined effects of nutrient content claims (e.g. 0 g sugar) and a HWL on perceived product characteristics and intentions to consume, and whether these effects differed by gender and age. DESIGN: A between-subjects randomized experiment. Participants were randomized to view one of six experimental label conditions: nutrient content claims plus nutrition declaration (NCC + ND), ND only, NCC + ND + HWL, ND + HWL, HWL only and no NCC, ND or HWL, all on a ready-to-drink (RTD) vodka-based soda container. SETTING AND PARTICIPANTS: Alcohol consumers (n = 5063; 52% women) in Canada aged 18-64 recruited through a national online panel. MEASUREMENTS: Participants completed ratings of perceived product characteristics, perceived product health risks, and intentions to try, buy, binge and drink the product. FINDINGS: Compared with the reference condition NCC + ND (current policy scenario in Canada), the other five experimental label conditions were associated with lower ratings for perceiving the product as healthy. All experimental conditions with a HWL were associated with lower product appeal, higher risk perceptions and reduced intentions to try, buy and binge. The experimental condition with a HWL only was associated with intentions to consume fewer cans in the next 7 days (ß = -0.72, 95% confidence interval [CI] = -1.37,-0.08) versus the reference. Few interactions were observed, suggesting that label effects on outcomes were similar by gender and age. CONCLUSIONS: Health warning labels on alcohol packaging appear to be associated with lower product appeal, higher perceived health risks and reduced consumption intentions, even in the presence of nutrient content claims.

Exploring the Use of Persuasive System Design Principles to Enhance Medication Incident Reporting and Learning Systems: Scoping Reviews and Persuasive Design Assessment.

BACKGROUND: Medication incidents (MIs) causing harm to patients have far-reaching consequences for patients, pharmacists, public health, business practice, and governance policy. Medication Incident Reporting and Learning Systems (MIRLS) have been implemented to mitigate such incidents and promote continuous quality improvement in community pharmacies in Canada. They aim to collect and analyze MIs for the implementation of incident preventive strategies to increase safety in community pharmacy practice. However, this goal remains inhibited owing to the persistent barriers that pharmacies face when using these systems. OBJECTIVE: This study aims to investigate the harms caused by medication incidents and technological barriers to reporting and identify opportunities to incorporate persuasive design strategies in MIRLS to motivate reporting. METHODS: We conducted 2 scoping reviews to provide insights on the relationship between medication errors and patient harm and the information system-based barriers militating against reporting. Seven databases were searched in each scoping review, including PubMed, Public Health Database, ProQuest, Scopus, ACM Library, Global Health, and Google Scholar. Next, we analyzed one of the most widely used MIRLS in Canada using the Persuasive System Design (PSD) taxonomy-a framework for analyzing, designing, and evaluating persuasive systems. This framework applies behavioral theories from social psychology in the design of technology-based systems to motivate behavior change. Independent assessors familiar with MIRLS reported the degree of persuasion built into the system using the 4 categories of PSD strategies: primary task, dialogue, social, and credibility support. RESULTS: Overall, 17 articles were included in the first scoping review, and 1 article was included in the second scoping review. In the first review, significant or serious harm was the most frequent harm (11/17, 65%), followed by death or fatal harm (7/17, 41%). In the second review, the authors found that iterative design could improve the usability of an MIRLS; however, data security and validation of reports remained an issue to be addressed. Regarding the MIRLS that we assessed, participants considered most of the primary task, dialogue, and credibility support strategies in the PSD taxonomy as important and useful; however, they were not comfortable with some of the social strategies such as cooperation. We found that the assessed system supported a number of persuasive strategies from the PSD taxonomy; however, we identified additional strategies such as tunneling, simulation, suggestion, praise, reward, reminder, authority, and verifiability that could further enhance the perceived persuasiveness and value of the system. CONCLUSIONS: MIRLS, equipped with persuasive features, can become powerful motivational tools to promote safer medication practices in community pharmacies. They have the potential to highlight the value of MI reporting and increase the readiness of pharmacists to report incidents. The proposed persuasive design guidelines can help system developers and community pharmacy managers realize more effective MIRLS.

Soft Skills: The Work of Communication and Persuasion Among Nurse Navigators in Hospital at Home Programs.

OBJECTIVE: To assess the role of soft skills in the work of Hospital at Home (HaH) nurse navigators. BACKGROUND: In HaH programs that employ them, nurse navigators are often responsible for identifying, assessing, referring, and educating potential HaH patients. The experiences of these navigators have gone understudied. METHODS: Researchers conducted semistructured interviews and observations with nurse navigators (n = 7) who collectively cover 14 North Carolina-based HaH sites. Navigators were asked to keep diaries of responses to directed questions. RESULTS: In their capacity as navigators, interviewees said they served several roles: intermediaries between hospital and HaH staff, interpreters of clinical knowledge for patients, and champions of, and educators for, the home-based program. The navigators noted that the interpersonal soft skills of building rapport, clear communication, and gentle persuasion were of the utmost importance in this work. CONCLUSIONS: The job descriptions of nurse navigators in HaH programs should fully reflect the breadth of their responsibilities, including time performing soft skilled labor. Also, training for these roles should include techniques to develop and refine these skills.

The persuasive effects of social cues and source effects on misinformation susceptibility.

Although misinformation exposure takes place within a social context, significant conclusions have been drawn about misinformation susceptibility through studies that largely examine judgements in a social vacuum. Bridging the gap between social influence research and the cognitive science of misinformation, we examine the mechanisms through which social context impacts misinformation susceptibility across 5 experiments (N = 20,477). We find that social cues only impact individual judgements when they influence perceptions of wider social consensus, and that source similarity only biases news consumers when the source is high in credibility. Specifically, high and low engagement cues ('likes') reduced misinformation susceptibility relative to a control, and endorsement cues increased susceptibility, but discrediting cues had no impact. Furthermore, political ingroup sources increased susceptibility if the source was high in credibility, but political outgroup sources had no effect relative to a control. This work highlights the importance of studying cognitive processes within a social context, as judgements of (mis)information change when embedded in the social world. These findings further underscore the need for multifaceted interventions that take account of the social context in which false information is processed to effectively mitigate the impact of misinformation on the public.

The potential of generative AI for personalized persuasion at scale.

Matching the language or content of a message to the psychological profile of its recipient (known as "personalized persuasion") is widely considered to be one of the most effective messaging strategies. We demonstrate that the rapid advances in large language models (LLMs), like ChatGPT, could accelerate this influence by making personalized persuasion scalable. Across four studies (consisting of seven sub-studies; total N = 1788), we show that personalized messages crafted by ChatGPT exhibit significantly more influence than non-personalized messages. This was true across different domains of persuasion (e.g., marketing of consumer products, political appeals for climate action), psychological profiles (e.g., personality traits, political ideology, moral foundations), and when only providing the LLM with a single, short prompt naming or describing the targeted psychological dimension. Thus, our findings are among the first to demonstrate the potential for LLMs to automate, and thereby scale, the use of personalized persuasion in ways that enhance its effectiveness and efficiency. We discuss the implications for researchers, practitioners, and the general public.

The allure of consensus: People (over)seek consensus in selecting group persuasion strategies.

How do people select targets when tasked with persuading a group of people? One approach would be to prioritize getting people in support of the persuader's position to hold relatively extreme attitudes-an extremity strategy. An alternative approach would be to prioritize getting as many people as possible to support the persuader's position, regardless of how extreme they are-a consensus strategy. Although some situations might allow persuaders to combine these strategies, the present work examines how people select targets and strategies when a natural trade-off exists between acquiring fewer people with more extreme attitudes versus more people with less extreme attitudes. Prior work suggests that potential advantages exist for both extremity and consensus strategies. However, the current research finds that people exhibit a strong preference for a consensus strategy when tasked with selecting targets in group persuasion contexts. Further, this preference prevails even when consensus strategies would backfire and cause one's persuasive efforts to fail. This allure of consensus is demonstrated across eight primary experiments, which also reveal why people are drawn to a consensus strategy as well as explore potential boundary conditions for this preference. This work has implications for understanding how persuaders select targets and strategies in the context of group persuasion. In addition, the paradigms and results invite a host of new avenues for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

How Do Gain-Loss Frames and Cultural Arguments Persuade? Designing Effective Messages to Weaken College Students' Binge-Drinking Intentions.

To design effective health messages, this study investigates the effects of gain-loss framing and relevant moderating effects in the context of college students' alcohol use. Specifically, based on an online experiment, we tested the moderation effects of message-sidedness and binge-drinking behaviors using a mediation model in which the association between gain-loss framing and behavioral intentions is mediated by attitudes toward binge-drinking. Four hundred thirty-four Korean college students participated in this study. Hayes' PROCESS Macro for SPSS was employed for the analysis. The results show that loss-framing significantly increased participants' unfavorable attitudes toward binge-drinking in the one-sided message condition. Moreover, attitudes toward binge-drinking were more significantly associated with behavioral intentions to binge-drink among heavy drinkers than among non-heavy drinkers. Our findings suggest important theoretical and practical implications for the development of message-framing strategies in health campaigns designed to prevent college students' binge-drinking in collectivistic societies where the cultural meaning of drinking extends beyond the individual realm to the larger social context.