Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages

Artificial Intelligence (AI) is a transformative force in communication and messaging strategy, with potential to disrupt traditional approaches. Large language models (LLMs), a form of AI, are capable of generating high-quality, humanlike text. We investigate the persuasive quality of AI-generated messages to understand how AI could impact public health messaging. Specifically, through a series of studies designed to characterize and evaluate generative AI in developing public health messages, we analyze COVID-19 pro-vaccination messages generated by GPT-3, a state-of-the-art instantiation of a large language model. Study 1 is a systematic evaluation of GPT-3's ability to generate pro-vaccination messages. Study 2 then observed peoples' perceptions of curated GPT-3-generated messages compared to human-authored messages released by the CDC (Centers for Disease Control and Prevention), finding that GPT-3 messages were perceived as more effective, stronger arguments, and evoked more positive attitudes than CDC messages. Finally, Study 3 assessed the role of source labels on perceived quality, finding that while participants preferred AI-generated messages, they expressed dispreference for messages that were labeled as AI-generated. The results suggest that, with human supervision, AI can be used to create effective public health messages, but that individuals prefer their public health messages to come from human institutions rather than AI sources. We propose best practices for assessing generative outputs of large language models in future social science research and ways health professionals can use AI systems to augment public health messaging. © 2023 ACM.

"Community members have more impact on their neighbors than celebrities": leveraging community partnerships to build COVID-19 vaccine confidence.

BACKGROUND: Vaccines are a strong public health tool to protect against severe disease, hospitalization, and death from COVID-19. Still, inequities in COVID-19 vaccination rates and health outcomes continue to exist among Black and Latino populations. Boston Medical Center (BMC) has played a significant role in vaccinating medically underserved populations, and organized a series of community-engaged conversations to better understand community concerns regarding the COVID-19 vaccine. This paper describes the themes which resulted from these community-engaged conversations and proposes next steps for healthcare leaders. METHODS: We accessed nine publicly available recordings of the community-engaged conversations which were held between March 2021 and September 2021 and ranged from 8 to 122 attendees. Six conversations prioritized specific groups: the Haitian-Creole community, the Cape Verdean community, the Latino community, the Black Christian Faith community, guardians who care for children living with disabilities, and individuals affected by systemic lupus erythematosus. Remaining conversations targeted the general public of the Greater Boston Area. We employed a Consolidated Framework for Implementation Research-driven codebook to code our data. Our analysis utilized a modified version of qualitative rapid analysis methods. RESULTS: Five main themes emerged from these community-engaged conversations: (1) Structural factors are important barriers to COVID-19 vaccination; (2) Mistrust exists due to the negative impact of systemic oppression and perceived motivation of the government; (3) There is a desire to learn more about biological and clinical characteristics of the COVID-19 vaccine as well as the practical implications of being vaccinated; (4) Community leaders emphasize community engagement for delivering COVID-19 information and education and; (5) Community leaders believe that the COVID-19 vaccine is a solution to address the pandemic. CONCLUSION: This study illustrates a need for community-engaged COVID-19 vaccine messaging which reflects the nuances of the COVID-19 vaccine and pandemic without oversimplifying information. In highlighting common concerns of the Greater Boston Area which contribute to a lack of confidence in the COVID-19 vaccine, we underscore important considerations for public health and healthcare leadership in the development of initiatives which work to advance health equity.

Equity, Public Health Messaging, and Traditional Maori Knowledge: The Te Ranga Tupua COVID-19 Response

Throughout the coronavirus disease 2019 (COVID-19) pandemic, the Maori, Indigenous people of New Zealand, public health response has been guided by the collaborative and relationship-centered principles of te ao Maori, the Maori world. This article presents the communications response to COVID-19 by Iwi, tribes, within Te Ranga Tupua (TRT), a collective of Iwi from the South Taranaki/Whanganui/Rangitikei/Ruapehu regions of Aotearoa, New Zealand. This research uses a qualitative design based on a Kaupapa Maori approach. The research presented here focuses on the intersect between COVID-19-related public health messaging, and the application of Maori knowledge and worldviews to establish equitable protection for Maori. By prioritizing equity, self-determination, and adopting a holistic approach to well-being, TRT have been able to re-frame public health messaging in accordance with our tikanga, customs, and notions of Maori public health. We provide a snapshot of how a unique tribal collective deployed its resource to provide culturally appropriate information and communication responses to the first wave of COVID-19 in 2020, and then built on this knowledge and experience providing a modified and more strategic response to the pandemic in 2021.

The Burdens of Self-Restraint: Social Measures and the Containment of Covid-19 in Japan

The essay explores Japan's policies of containing infection without heavy reliance on legally imposed lockdowns or digital surveillance. It examines the 'social measures' that local governments and the Ministry of Health relied on, including consistent public health messaging, contact tracing, education, with a focus on behavior modification. The pandemic worldwide has highlighted the importance of society in addition to the state in controlling infection. This article highlights the benefits of this form of social control as well as its trade-offs, including stress concerning social expectations, informal forms of social control, and inc idences of harassment and discrimination against the diseased.

Conflicting Information and Compliance with COVID-19 Behavioral Recommendations

The prevalence of COVID-19 is shaped by behavioral responses to recommendations and warnings. Available information on the disease determines the population’s perception of danger and thus its behavior;this information changes dynamically, and different sources may report conflicting information. We study the feedback between disease, information, and stay-at-home behavior using a hybrid agent-based-system dynamics model that incorporates evolving trust in sources of information. We use this model to investigate how divergent reporting and conflicting information can alter the trajectory of a public health crisis. The model shows that divergent reporting not only alters disease prevalence over time, but also increases polarization of the population’s behaviors and trust in different sources of information. © 2022, University of Surrey. All rights reserved.

Age-Related Differences in Experiences With Social Distancing at the Onset of the COVID-19 Pandemic: A Computational and Content Analytic Investigation of Natural Language From a Social Media Survey.

BACKGROUND: As COVID-19 poses different levels of threat to people of different ages, health communication regarding prevention measures such as social distancing and isolation may be strengthened by understanding the unique experiences of various age groups. OBJECTIVE: The aim of this study was to examine how people of different ages (1) experienced the impact of the COVID-19 pandemic and (2) their respective rates and reasons for compliance or noncompliance with social distancing and isolation health guidance. METHODS: We fielded a survey on social media early in the pandemic to examine the emotional impact of COVID-19 and individuals' rates and reasons for noncompliance with public health guidance, using computational and content analytic methods of linguistic analysis. RESULTS: A total of 17,287 participants were surveyed. The majority (n=13,183, 76.3%) were from the United States. Younger (18-31 years), middle-aged (32-44 years and 45-64 years), and older (≥65 years) individuals significantly varied in how they described the impact of COVID-19 on their lives, including their emotional experience, self-focused attention, and topical concerns. Younger individuals were more emotionally negative and self-focused, while middle-aged people were other-focused and concerned with family. The oldest and most at-risk group was most concerned with health-related terms but were lower in anxiety (use of fewer anxiety-related terms) and higher in the use of emotionally positive terms than the other less at-risk age groups. While all groups discussed topics such as acquiring essential supplies, they differentially experienced the impact of school closures and limited social interactions. We also found relatively high rates of noncompliance with COVID-19 prevention measures, such as social distancing and self-isolation, with younger people being more likely to be noncompliant than older people (P<.001). Among the 43.1% (n=7456) of respondents who did not fully comply with health orders, people differed substantially in the reasons they gave for noncompliance. The most common reason for noncompliance was not being able to afford to miss work (n=4273, 57.3%). While work obligations proved challenging for participants across ages, younger people struggled more to find adequate space to self-isolate and manage their mental and physical health; middle-aged people had more concerns regarding childcare; and older people perceived themselves as being able to take sufficient precautions. CONCLUSIONS: Analysis of natural language can provide insight into rapidly developing public health challenges like the COVID-19 pandemic, uncovering individual differences in emotional experiences and health-related behaviors. In this case, our analyses revealed significant differences between different age groups in feelings about and responses to public health orders aimed to mitigate the spread of COVID-19. To improve public compliance with health orders as the pandemic continues, health communication strategies could be made more effective by being tailored to these age-related differences.

The reception of public health messages during the COVID-19 pandemic

Understanding the reception of public health messages in public-facing communications is of key importance to health agencies in managing crises, pandemics, and other health threats. Established public health communications strategies including self-efficacy messaging, fear appeals, and moralising messaging were all used during the Coronavirus pandemic. We explore the reception of public health messages to understand the efficacy of these established messaging strategies in the COVID-19 context. Taking a community-focussed approach, we combine a corpus linguistic analysis with methods of wider engagement, namely, a public survey and interactions with a Public Involvement Panel to analyse this type of real-world public health discourse. Our findings indicate that effective health messaging content provides manageable instructions, which inspire public confidence that following the guidance is worthwhile. Messaging that appeals to the audience's morals or fears in order to provide a rationale for compliance can be polarising and divisive, producing a strongly negative emotional response from the public and potentially undermining social cohesion. Provenance of the messaging alongside text-external political factors also have an influence on messaging uptake. In addition, our findings highlight key differences in messaging uptake by audience age, which demonstrates the importance of tailored communications and the need to seek public feedback to test the efficacy of messaging with the relevant demographics. Our study illustrates the value of corpus linguistics to public health agencies and health communications professionals, and we share our recommendations for improving the public health messaging both in the context of the ongoing pandemic and for future novel and re-emerging infectious disease outbreaks.

Mask communication: The development of the face covering as a semiotic resource through government public health posters in England and Wales.

This paper will explore the multi-modal semiotic properties of a selection of key public health information posters issued by the UK Westminster government on the use of masks and face coverings during the first year of the COVID-19 pandemic. Using multi-modal critical discourse analysis, we show how the posters featuring masks sustained consistent government-led branding, while drawing upon what we describe as "synthetic personalisation" to manage the orientation of the crisis as the pandemic progressed. Through this analysis, the article will highlight the possible contribution of these posters to an environment characterised by political confusion and enabling of a relatively widespread rejection of mask-wearing as a public health responsibility. Examining this within a broader decline in trust in government, we suggest the various attempts to produce a positive message about mask-wearing contributed instead to the appropriation of masks as symbols of individual alignment within a contested political field.

Politics, Parks, and Pandemic: A Research Note

The COVID-19 pandemic highlights the importance of parks as critical infrastructure for societal well-being;however, for much of the pandemic, the risk for disease exposure and transmission in these spaces was unclear. Public health messaging by parks continues to attempt to influence health-promoting behaviors, but the impact of advisories may vary due to the message source. In fall 2020, we surveyed park visitors in Virginia, U.S. across political affiliations to understand decision-making factors influencing visitation. Results indicate many similarities in decision-making factors across political affiliations, such as the perceived importance of health benefits derived from outdoor recreation. Significant differences in the perceived importance between message sources (i.e., Trump Administration) (p 2 = .104) and risk perceptions related to COVID-19 (p 2 = .228) across political affiliations were evident. These findings demonstrate the importance of attending to political affiliations when crafting messaging strategies, not limited to the context of the COVID-19 pandemic. [ FROM AUTHOR] Copyright of Journal of Park & Recreation Administration is the property of Sagamore Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Anticipated and Experienced Stigma After Testing Positive for SARS-CoV-2: A Qualitative Study.

INTRODUCTION: Stigma has inhibited public health practitioners' influence during the COVID-19 pandemic. We explore the experienced and anticipated stigma of people affiliated with a large university in the United States, using the Health Stigma and Discrimination Framework. METHODS: We conducted a qualitative secondary substudy of 20 people who tested SARS-CoV-2 positive and 10 who tested negative in the summer of 2020, selected from a study of 3,324 university students and employees. FINDINGS: No participants reported anticipated stigmatization prior to testing positive. However, eight of 20 participants recounted stigma marking (being marked by COVID-19 diagnosis or membership in a "high-risk" group) or manifestations of stigma after testing positive, including feelings of guilt or shame, and concerns about being judged as selfish or irresponsible. Three described being denied services or social interactions as a result of having had COVID-19, long after their infectiousness ended. Participants noted that clear public health messaging must be paired with detailed scientific information, rather than leaving people to resort to non-experts to understand the science. DISCUSSION: Public health messaging designed to mitigate spread of SARS-CoV-2 and protect the community may perpetuate stigma and exacerbate inequities. As a result, people may avoid testing or treatment, mistrust public health messaging, or even use risk-increasing behavior as coping mechanisms. IMPLICATIONS FOR PRACTICE: Intentional use of language that promotes equity and deters discrimination must be high priority for any COVID-19-related public health messaging. Partnership with community leaders to co-create programs and disseminate messaging is a critical strategy for reducing stigma, especially for historically mistreated groups.

Prosocial nudges and visual indicators increase social distancing, but authoritative nudges do not.

Social distancing reduces the transmission of COVID-19 and other airborne diseases. To test different ways to increase social distancing, we conducted a field experiment at a major US airport using a system that presented color-coded visual indicators on crowdedness. We complemented those visual indicators with nudges commonly used to increase COVID-19-preventive behaviors. Analyzing data from 57,146 travelers, we find that visual indicators and nudges significantly affected social distancing. Introducing visual indicators increased the share of travelers practicing social distancing, and this positive effect was enhanced by introducing nudges focused on personal benefits ("protect yourself") and public benefits ("protect others"). Conversely, an authoritative nudge referencing the Centers for Disease Control and Prevention ("don't break CDC COVID-19 guidelines") did not change social distancing behavior. Our results demonstrate that visual indicators and informed nudges can boost social distancing and potentially curb the spread of contagious diseases.

Analyzing Tweeting Patterns and Public Engagement on Twitter During the Recognition Period of the COVID-19 Pandemic: A Study of Two U.S. States

The abundance of available information on social networks can provide invaluable insights into people’s responses to health information and public health guidance concerning COVID-19. This study examines tweeting patterns and public engagement on Twitter, as forms of social networks, related to public health messaging in two U.S. states (Washington and Louisiana) during the early stage of the pandemic. We analyze more than 7M tweets and 571K COVID-19-related tweets posted by users in the two states over the first 25 days of the pandemic in the U.S. (Feb. 23, 2020, to Mar. 18, 2020). We also qualitatively code and examine 460 tweets posted by selected governmental official accounts during the same period for public engagement analysis. We use various methods for analyzing the data, including statistical analysis, sentiment analysis, and word usage metrics, to find inter-and intra-state disparities of tweeting patterns and public engagement with health messaging. Our findings reveal that users inWashington were more active on Twitter than users in Louisiana in terms of the total number and density of COVID-19-related tweets during the early stage of the pandemic. Our correlation analysis results for counties or parishes show that the Twitter activities (tweet density, COVID-19 tweet density, and user density) were positively correlated with population density in both states at the 0.01 level of significance. Our sentiment analysis results demonstrate that the average daily sentiment scores of all and COVID-19-related tweets inWashington were consistently higher than those in Louisiana during this period. While the daily average sentiment scores of COVID-19-related tweets were in the negative range, the scores of all tweets were in the positive range in both states. Lastly, our analysis of governmental Twitter accounts found that these accounts’messages were most commonly meant to spread information about the pandemic, but that users were most likely to engage with tweets that requested readers take action, such as hand washing. Author

Non-adherence to COVID-19 containment behaviours: results from an all-Ireland telephone survey.

BACKGROUND: COVID-19 public health measures like handwashing and social distancing can help stem the spread of the virus. Adherence to guidelines varies between individuals. This study aims to identify predictors of non-adherence to social distancing and handwashing guidelines. METHODS: A cross-sectional weekly telephone survey was conducted over eight weeks (11/06/2020-05/08/2020). The sample included adults resident on the island of Ireland (75:25 split between ROI and NI). Data were collected on demographics, threat perceptions, fear of COVID-19, response efficacy and self-efficacy, response cost and social norms, COVID-19 behaviours, mood, loneliness, and self-reported health. RESULTS: 3011 participants were surveyed. Handwashing non-adherers were more likely to be male (OR: 5.2, 95% CI: 2.4 - 11.3), to have higher levels of loneliness (OR: 1.86, 95% CI: 1.1 - 3.1), and higher perceptions of handwashing costs (OR: 3.4, 95% CI: 2.2 - 5.2). Those reporting rarely engaging in social distancing were more likely to be members of lower socioeconomic groups, to be younger (OR: 0.97, 95% CI: 0.96 - 0.98), male (OR: 1.67, 95% CI: 1.1 - 2.5), healthcare workers (OR: 1.98, 95% CI: 1.1 - 3.4), to report lower mood (OR: 1.72, 95% CI: 1.3 - 2.2), were less likely to live in households with people aged under-18 (OR: 0.75, 95% CI: 0.6 - 0.9), and to have lower fear of COVID-19 (OR: 0.79, 95% CI: 0.6 - 0.9). CONCLUSIONS: Non-adherers to handwashing differ to social distancing non-adherers. Public health messages should target specific demographic groups and different messages are necessary to improve adherence to each behaviour.

Impact of COVID-19: A Text Mining Analysis of Twitter Data in Spanish Language.

BACKGROUND: Latino communities in the United States and Latin America are disproportionately affected by the COVID-19 pandemic. We analyzed information shared on Twitter in Spanish language for insights into the public's communication and information needs about the COVID-19 pandemic. METHODS: We performed a mixed-methods analysis using a text mining approach. We used SAS Text Miner, an algorithmic-driven statistical program to capture 10,000 tweets posted between June 3, 2020, and June 10, 2020. We used the following search terms to capture relevant Twitter messages in Spanish language: "coronavirus," "covid-19," "corona," and the hash tags "#COVID19" and "#Coronavirus." Key text topics were identified and categorized into themes using an emergent content analysis. RESULTS: We identified 12 text topics and six themes: (1) prevention measures, (2) epidemiology/surveillance, (3) economic impact, (4) optimizing nursing workforce, (5) access to reliable information, and (6) call for a response from the local government. Top trending hashtags from our search included #COVID19 (n = 7,098), #Coronavirus (n = 6,394), and #SNTESALUD (n = 2,598). CONCLUSIONS: Spanish-language Tweets related to the COVID-19 pandemic contained information from health departments and labor unions on the surveillance, prevention, and impact of COVID-19. Public health officials should consider increasing their use of Twitter to ensure a wide dissemination of messages about COVID-19 in Spanish outlets.

The conspiracy hoax? Testing key hypotheses about the correlates of generic beliefs in conspiracy theories during the COVID-19 pandemic.

Conspiracy beliefs are ubiquitous in the current COVID-19 pandemic. This may be because they directly affect own and others' health and economic outcomes due to detrimental effects on preventive behaviour. We aimed to (a) test key hypotheses on the correlates of generic beliefs in conspiracy theories in this high-threat real-life setting, (b) examine the role of trust in mediating effects of conspiracy beliefs on preventive behaviour, and (c) thereby inform the public health response. Using cross-sectional data (N = 1013) from the German COVID-19 monitoring we tested the relationships between conspiracy beliefs and (a) social and economic worries, (b) trust in media, the government, public health institutions, and science, and (c) hygiene-related and contact-related preventive behaviour. Results were in line with expectations apart from null findings for the relationships with social worries and hygiene-related preventive behaviour. Trust in government mediated effects of conspiracy beliefs on contact-related preventive behaviour.

Public Health Messages About Face Masks Early in the COVID-19 Pandemic: Perceptions of and Impacts on Canadians.

Early in the COVID-19 pandemic, Canadians faced much ambiguity in the public health messages around face mask use. As public health messaging plays a pivotal role in the provision of directives during a health crisis, this study examines Canadians' opinions on the early messaging they received regarding personal protection, especially around mask use, with the goal of identifying potential improvements to strengthen future health messaging. Nine online focus group interviews with 47 Canadians were conducted. These natural conversations focused on personal protective equipment (PPE) choices, mask-relevant public health information sources, and advice to Canadian authorities to improve public health messaging on mask use. Responses were imported into NVivo for thematic analysis. Four meta-themes of relevance were identified. Despite demonstrating trust in scientific evidence and public health authorities, the inconsistencies in public health messaging fostered confusion, and induced mistrust toward health professionals. Further, several information deficits were identified pertaining to the scientific efficacy, safe use, and disposal of masks. Rooted in loyalty to healthcare workers, these Canadians eschewed using medical grade masks during PPE shortages to ensure a sufficient supply for medical workers. The findings stress that consistency in public health messages should be prioritized, with necessary changes clearly justified and explained. More information should reach the public on the scientific benefits and proper use of masks. Public health recommendations should be evidence-based, simple, transparent, and realistic in the current circumstances to guide Canadians to make more informed personal protection choices in the rapidly evolving pandemic.

Who Is Listening? Spokesperson Effect on Communicating Social and Physical Distancing Measures During the COVID-19 Pandemic.

Effective communication during a pandemic, such as the current COVID-19 crisis, can save lives. At the present time, social and physical distancing measures are the lead strategy in combating the spread of COVID-19. In this study, a survey was administered to 705 adults from Switzerland about their support and practice of social distancing measures to examine if their responses depended on (1) whether these measures were supported by a government official or an internationally recognized celebrity as a spokesperson, (2) whether this spokesperson was liked, and (3) the respondent's age. We also considered several attitudinal and demographic variables that may influence the degree to which people support and comply with social distancing measures. We found that the government official was more effective in eliciting responses supportive of social distancing, particularly as manifested in the stated current compliance with social distancing measures. The effect was substantially stronger among older respondents, although these respondents expressed a lower risk perception. Although there was a general trend for greater endorsement of the social distancing measures among participants who liked the spokesperson, this was non-significant. In addition, respondents' greater support and compliance was positively associated with (1) higher concern for the current situation, (2) higher concern for the well-being of others, and (3) greater belief that others were practicing social distancing, and negatively with (4) greater self-reported mobility. Current compliance correlated negatively with (5) household size. Since different parts of the population appear to have different perceptions of risk and crisis, our preliminary results suggest that different spokespersons may be needed for different segments of the population, and particularly for younger and older populations. The development of evidence-based knowledge is required to further identify who would be the most effective spokesperson, and in particular to groups with low risk perception and low compliance.

A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic.

Public health teams need to understand how the public responds to vaccination messages in a pandemic or epidemic to inform successful campaigns encouraging the uptake of new vaccines as they become available. A rapid systematic review was performed by searching PsycINFO, MEDLINE, healthevidence.org, OSF Preprints and PsyArXiv Preprints in May 2020 for studies including at least one health message promoting vaccine uptake of airborne-, droplet- and fomite-spread viruses. Included studies were assessed for quality using the Mixed Methods Appraisal Tool (MMAT) or the Assessment of Multiple Systematic Reviews (AMSTAR), and for patient and public involvement (PPI) in the research. Thirty-five articles were included. Most reported messages for seasonal influenza (n = 11; 31%) or H1N1 (n = 11; 31%). Evidence from moderate to high quality studies for improving vaccine uptake included providing information about virus risks and vaccination safety, as well as addressing vaccine misunderstandings, offering vaccination reminders, including vaccination clinic details, and delivering mixed media campaigns across hospitals or communities. Behavioural influences (beliefs and intentions) were improved when: shorter, risk-reducing or relative risk framing messages were used; the benefits of vaccination to society were emphasised; and beliefs about capability and concerns among target populations (e.g., vaccine safety) were addressed. Clear, credible, messages in a language target groups can understand were associated with higher acceptability. Two studies (6%) described PPI in the research process. Future campaigns should consider the beliefs and information needs of target populations in their design, including ensuring that vaccine eligibility and availability is clear, and messages are accessible. More high quality research is needed to demonstrate the effects of messaging interventions on actual vaccine uptake.

Emotional responses to prosocial messages increase willingness to self-isolate during the COVID-19 pandemic.

The COVID-19 pandemic may be one of the greatest modern societal challenges that requires widespread collective action and cooperation. While a handful of actions can help reduce pathogen transmission, one critical behavior is to self-isolate. Public health messages often use persuasive language to change attitudes and behaviors, which can evoke a wide range of negative and positive emotional responses. In a U.S. representative sample (N = 955), we presented two messages that leveraged either threatening or prosocial persuasive language, and measured self-reported emotional reactions and willingness to self-isolate. Although emotional responses to the interventions were highly heterogeneous, personality traits known to be linked with distinct emotional experiences (extraversion and neuroticism) explained significant variance in the arousal response. While results show that both types of appeals increased willingness to self-isolate (Cohen's d = 0.41), compared to the threat message, the efficacy of the prosocial message was more dependent on the magnitude of the evoked emotional response on both arousal and valence dimensions. Together, these results imply that prosocial appeals have the potential to be associated with greater compliance if they evoke highly positive emotional responses.