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.

"Trust Me, I'm a Doctor." How TikTok Videos from Different Sources Influence Clinical Trial Participation.

This study experiments with TikTok videos to promote clinical trial participation. More specifically, it examines how short-form video sources (doctors vs. prior volunteers for clinical trials) influence perceived source credibility, self-efficacy, and behavioral intention to participate in clinical trials. Findings from this online experiment (N = 396) showed that doctor sources led to greater behavioral intention through enhancing source credibility compared to prior volunteer sources. Alternatively, prior volunteer sources increased behavioral intention via enhanced self-efficacy for participants with low trust in doctors. These findings contribute to the understanding of how short-form video sources act as heuristic cues, leading to persuasion outcomes. Overall, we recommend featuring doctors when using video-based messages to promote clinical trial participation. Also, this study emphasizes the need for health communication practitioners to consider prior volunteers as spokespersons when targeting populations with low baseline trust in doctors.

Effects of Communication Source and Racial Representation in Clinical Trial Recruitment Flyers.

The current study was designed to examine effective message strategies that can be employed in designing mediated communication messages to improve clinical trial research participation. In the study, a total of 300 participants completed an online experiment in which they responded to five different clinical trial recruitment advertisements whose information sources varied in their credentials and race. Overall, peer-featured ads in which previous clinical trial participants communicated their prior experience in clinical trial participation, compared to expert-featured ads in which medical doctors communicated information about clinical trials, led to higher message and topic relevance, higher message credibility, more favorable attitudes toward clinical trials, and higher intentions to participate in future clinical trials. Further, there was a statistically significant interaction among source credentials, racial match (between source and participant), and participant's race on message and topic relevance such that both White and Black participants rated ads from racially mismatched peers highly effective (greater message and topic relevance); however, for doctor featured ads, White participants reported higher message and topic relevance for racially matched (White doctor) ads, and Black participants reported higher message and topic relevance for racially mismatched (White doctor) ads. We discuss theoretical and practical implications.

Overcoming Black Americans' Psychological and Cognitive Barriers to Clinical Trial Participation: Effects of News Framing and Exemplars.

This study examines how news features (framing and the use of exemplars) can help overcome two common barriers (psychological and cognitive) impeding Black American participation in clinical trials. In an online experiment, Black participants (N = 390) viewed social media news posts varying in framing (focus on psychological vs. cognitive barriers) and use of an exemplar (present vs. absent and White vs. Black) and then responded to outcome measures including perceived message effectiveness, message attitudes, and intention to participate in clinical trials. The findings illustrate that including a racially matched (i.e. Black) exemplar improves attitudes toward clinical trial messages. Most notably, featuring a race-matched exemplar increases intention to participate in a trial when the messages discuss psychological barriers. These findings enhance our understanding of how messages can be better designed to increase Black American participation in clinical trials, thereby contributing to reducing health inequities and improving health outcomes.

Improving rural White men's attitudes toward clinical trial messaging and participation: effects of framing, exemplars and trust.

This study examined whether framing, exemplar presence and exemplar race in social media news posts influence rural White men's perceptions, attitudes and behavioral intentions toward clinical trial participation, and if so, how individual trust in doctors moderates the effects of these three factors. An experiment with a 2 within (framing: cognitive versus psychological barriers) × 2 within (exemplar: present versus absent) × 2 between (exemplar race: White versus Black) subjects mixed factorial design was conducted among rural White men (N = 208). Twelve social media news posts about clinical trial participation were created for the experiment. Results revealed that respondents had greater behavioral intentions to participate in clinical trials after seeing posts with exemplars present (versus absent). When news posts addressed cognitive barriers (e.g. lacking knowledge about the value of clinical trials), the presence of exemplars enhanced perceived self-efficacy to participate in clinical trials. Participants with lower trust in doctors reported more favorable attitudes to posts with exemplars, and the posts with Black exemplars were perceived as more effective (approaching statistical significance). When communicating about clinical trials to rural White men, health professionals should consider including exemplars and addressing cognitive barriers to participation.

Effects of Message Presentation Type on GM Food Risk Perception, Similarity Judgment, and Attitude.

Media play an important role in communicating scientific and health-related information, in turn, influencing audience risk perception. This study examined how genetically modified (GM) food news' presentation types - text-only, addition of photographs, or addition of infographics - can affect risk perception and attitude towards GM foods. Further, individuals' healthy eating involvement and perceived threat to GM foods were considered as individual difference variables influencing the level of perceived relevance to the GM food news. Results showed that news with infographics generally lowered risk perception and led individuals to perceive GM and non-GM foods more similarly in their safety on allergy, genetic changes, and organ toxicity.

Each post matters: a content analysis of #mentalhealth images on Instagram.

This study examined mental health-related content on a popular visual-based social media platform, Instagram. A content analysis was completed by using the search term '#mentalhealth' on public Instagram posts (N = 758). Our data showed that wellness practices related to mental health (e.g. exercise, healthy eating), anxiety, and depression are the most addressed mental health topics on Instagram. Additionally, posts that mention at least one type of mental health problem seek peer support and engagement from other users at a higher rate compared to posts that do not mention mental health disorder or topic (beyond the search term #mentalhealth). We discussed these findings in detail, as well as their theoretical and practical implications and the limitations of this study. We also suggested avenues for further research to promote evidence-based health communication techniques tailored to current visual-based social media platforms.

Foundations of Arrogance: A Broad Survey and Framework for Research.

We consider the topic of arrogance from a cross-disciplinary viewpoint. To stimulate further research, we suggest three types of arrogance (individual, comparative, and antagonistic) and six components contributing to them, each logically related to the next. The components progress from imperfect knowledge and abilities to an unrealistic assessment of them, an unwarranted attitude of superiority over other people, and related derisive behavior. Although each component presumably is present to some degree when the next one operates, causality might flow between components in either direction. The classification of components of arrogance should reduce miscommunication among researchers, as the relevant concepts and mechanisms span cognitive, motivational, social, and clinical domains and literatures. Arrogance is an important concept warranting further study for both theoretical and practical reasons, in both psychopathology and normal social interaction. Everyone seems to have qualities of arrogance to some degree, and we consider the importance of arrogance on a spectrum. We contend that humankind can benefit from a better understanding of the cognitive limitations and motivational biases that, operating together, appear to contribute to arrogance. We bring together information and questions that might lead to an invigorating increase in the rate and quality of cross-disciplinary research on arrogance.

COVID-19 vaccination communication: Effects of vaccine conspiracy beliefs and message framing among black and white participants.

BACKGROUND: The importance of vaccination in combating the COVID-19 pandemic is widely acknowledged. The aim of this study was (1) to understand how one's vaccine conspiracy beliefs would influence their public health news processing, (2) to examine how specific public health news features (i.e., news frame) would influence message processing, and (3) to examine if there were any differences between Black and White participants in their message processing. METHODS: A nationwide online experiment (N = 821) with a 3 (vaccine conspiracy beliefs: high vs. moderate vs. low) × 2 (participants' race: Black vs. White) × 2 (news frames: gain vs. loss) mixed-factorial design was conducted in the United States. RESULTS: Participants' level of vaccine conspiracy beliefs was predictive of their responses to outcome measures. Additionally, Black participants reported higher perceived message effectiveness, more favorable attitudes toward the message, and higher vaccination intentions than White participants. Furthermore, health news that emphasized vaccination benefits produced more favorable attitudes than those emphasizing losses associated with non-vaccination, especially for White participants. Lastly, participants reported more favorable attitudes toward gain-framed health news regardless of their vaccine conspiracy beliefs. CONCLUSION: It is crucial for health officials to work to find effective media message strategies to combat COVID-19 vaccine conspiracy theories and misinformation. Furthermore, this study supports the significance of health organizations' ongoing efforts to tailor public health messaging to specific racial groups, as evidenced by considerable variations in perceptions among Black and White Americans.

Visualizing science: The impact of infographics on free recall, elaboration, and attitude change for genetically modified foods news.

Within the theoretical frameworks of the dual coding theory, this study examined how the implementation of infographics would influence audiences' cognitive responses to science news reporting topics of genetically modified food and bioengineering. A total of 280 participants were randomly assigned to view news articles that report genetically modified food information presented via infographics or text. Findings showed that the participants recalled more information, elaborated more message-relevant thoughts, and had more favorable attitude changes toward the genetically modified foods when science news content is presented in infographics compared with text. Theoretical and practical implications are discussed herein.

When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning.

One of the significant issues in a smart city is maintaining a healthy environment. To improve the environment, huge amounts of data are gathered, manipulated, analyzed, and utilized, and these data might include noise, uncertainty, or unexpected mistreatment of the data. In some datasets, the class imbalance problem skews the learning performance of the classification algorithms. In this paper, we propose a case-based reasoning method that combines the use of crowd knowledge from open source data and collective knowledge. This method mitigates the class imbalance issues resulting from datasets, which diagnose wellness levels in patients suffering from stress or depression. We investigate effective ways to mitigate class imbalance issues in which the datasets have a higher proportion of one class over another. The results of this proposed hybrid reasoning method, using a combination of crowd knowledge extracted from open source data (i.e., a Google search, or other publicly accessible source) and collective knowledge (i.e., case-based reasoning), were that it performs better than other traditional methods (e.g., SMO, BayesNet, IBk, Logistic, C4.5, and crowd reasoning). We also demonstrate that the use of open source and big data improves the classification performance when used in addition to conventional classification algorithms.