Explore the vast range of titles available.

Influencers are omnipresent on social media platforms. They occupy important digital real estate across a range of topical domains including beauty, fashion, and gaming. While researchers have contributed important work on the respective role that authenticity plays for influencers’ success and have described a burgeoning industry within the larger domain of social media entertainment, comparably little is known about what happens when influencers get involved in politics, when they harness their digital clout to promote political causes and social issues, and thereby become political influencers. This introduction to the special issue on political influencers provides a definition of what makes someone a political influencer. It theoretically locates political influencers within the larger field of media and communication scholarship, and delineates the term from other, related concepts such as that of opinion leader. Building on eight contributions focused across more than six countries and nine platforms, the article showcases important strands of current and future research. It provides the foundation for a more systemic understanding of political influencers on social media, situating them within a media ecology complicated by a diverse array of traditional and nontraditional actors, tactics, and dynamics. The article concludes with recommendations for future research.

This article reviews 10 techniques used to identify opinion leaders to promote behavior change. Opinion leaders can act as gatekeepers for interventions, help change social norms, and accelerate behavior change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize close to 200 studies that have studied or used opinion leaders to promote behavior change into 10 different methods. They present the advantages and disadvantages of the 10 opinion leader identification methods and provide sample instruments for each. Factors that might influence programs to select one or another method are then discussed, and the article closes with a discussion of combining and comparing methods.

As trust in news media and social media dwindles and fears of disinformation and echo chambers spread, individuals need to find ways to access and assess reliable and trustworthy information. Despite low levels of trust in social media, they are used for accessing political information and news. In this study, we examine the information verification practices of opinion leaders (who consume political information above average and share their opinions on social media above average) and of opinion seekers (who seek out political information from friends and family) to understand similarities and differences in their news media trust, fact-checking behaviors, and likeliness of being caught in echo chambers. Based on a survey of French Internet users (N = 2,000) we find that not only opinion leaders, but also opinion seekers, have higher rates across all three of these dependent variables. We discuss the implications of findings for the development of opinion leadership theory as well as for social media platforms wishing to increase trust.

Dengue fever is a significant public health concern. The advent of social media has introduced digital opinion leaders (DOLs), health care professionals with substantial online followings who play a pivotal role in disseminating health information and combating misinformation. We aimed to investigate the role of DOLs in dengue prevention and explore their preferences for collaboration with health sector entities to strengthen dengue prevention initiatives. A qualitative study was conducted using semistructured interviews with 37 purposively selected DOLs from 8 countries in Latin America and Southeast Asia. They were selected based on their active online presence, dissemination of dengue-related content, and substantial social media followings. Interviews took place either in person or online, according to the participants' chosen languages. Each session, lasting approximately 60 minutes, was audio recorded, transcribed verbatim, and subjected to thematic analysis to identify recurring themes. The thematic analysis led to several key findings. First, DOLs used social media to enhance public health communication, focusing on raising awareness (16/37, 43%), correcting misconceptions (17/37, 46%), and modeling preventive behaviors (8/37, 22%) for infectious diseases. They educated audiences on disease symptoms and prevention, addressed vaccine hesitancy, and shared personal practices to encourage similar actions among followers. Second, 35% (13/37) of the DOLs reported a widespread lack of public knowledge about dengue and its prevention, with even less awareness of vaccine availability. In addition, 27% (10/37) of them identified challenges due to antivaccination sentiments and misinformation, while 8% (3/37) noted obstacles from perceived inadequate government leadership in dengue prevention. In response, DOLs leveraged their social media influence to educate the public. A significant number (22/37, 59%) of the DOLs emphasized the importance of regular promotion of vector control measures as the cornerstone of dengue prevention and 68% (25/37) highlighted the critical role of vaccines, particularly among vulnerable groups. Finally, collaboration was essential for expanding DOLs' reach and credibility, with 54% (20/37) of them partnering with pharmaceutical companies, 43% (16/37) with government agencies, and 27% (10/37) with nongovernmental organizations. In these collaborations, 38% (14/37) of the DOLs emphasized the importance of adhering to ethical standards, and 57% (21/37) prioritized projects aligning with their personal values and professional standards, avoiding producing content that contradicted their beliefs or goals. DOLs are essential in disseminating dengue prevention information. They recognize their responsibility to raise awareness about dengue vaccines and dispel related misconceptions to combat vaccine hesitancy. Unlike nonmedical social media influencers, whose content may lack medical accuracy and be driven by monetization, DOLs provide evidence-based information, enhancing their credibility. Collaborations between DOLs and health sector stakeholders, although currently limited, hold significant potential for effective dengue prevention, provided they adhere to ethical standards and are supported by credible scientific evidence.

In this paper, we examine how a research institution’s social structure and the presence of academic opinion leaders shaped the early adoption of a scientific innovation. Our case considers the early engagement of mathematical economists at the Cowles Commission with John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior. We argue that scholars with administrative leadership functions who were not only scientifically but also organizationally central—in our case Jacob Marschak, the director of research at Cowles—played a crucial role in promoting the early adoption of the Theory of Games . We support our argument with a scientometric analysis of all acknowledgments made in 488 papers published from 1944 to 1955 in the two main research paper series at the Cowles Commission. We apply blockmodeling techniques to the acknowledgments network to reconstruct the formal and informal social structure at Cowles at the time. Our case study emphasizes the importance of formal and informal social structures and the research agendas of academic opinion leaders to explain the early engagement with and adoption of innovative scientific ideas. Studies of the early adoption of scientific theories can benefit from complementary perspectives on the role of academic opinion leaders and scientists in explaining theory adoption.

PurposeMisinformation (i.e. information identified as false) spreads widely and quickly on social media – a space where crowds of ordinary citizens can become leading voices – during a crisis when information is in short supply. Using the theoretical lenses of socially curated flow and networked gatekeeping frameworks, we address the following three aims: First, we identify emergent opinion leaders in misinformation-related conversations on social media. Second, we explore distinct groups that contribute to online discourses about misinformation. Lastly, we investigate the actual dominance of misinformation within disparate groups in the early phases of mass shooting crises.Design/methodology/approachThis paper used network and cluster analyses of Twitter data that focused on the four most prevalent misinformation themes surrounding the El Paso mass shooting.FindingsA total of seven clusters of users emerged, which were classified into five categories: (1) boundary-spanning hubs, (2) broadly popular individuals, (3) reputation-building hubs, (4) locally popular individuals and (5) non-opinion leaders. Additionally, a content analysis of 128 tweets in six clusters, excluding the cluster of non-opinion leaders, further demonstrated that the opinion leaders heavily focused on reiterating and propagating misinformation (102 out of 128 tweets) and collectively made zero corrective tweets.Originality/valueThese findings expand the intellectual understanding of how various types of opinion leaders can shape the flow of (mis)information in a crisis. Importantly, this study provides new insights into the role of trans-boundary opinion leaders in creating an echo chamber of misinformation by serving as bridges between otherwise fragmented discourses.

The scientific literature on noma (Cancrum Oris) has clearly increased in recent decades, but there seems to have been limited analysis of issues around the psycho-social impacts of this disease. Even when these issues have been addressed, the focus has tended to be on patient experiences, whereas the community dimension of the disease and the role of healthcare professionals and community leaders in mitigating these impacts remain largely unexplored. A study in the form of semi-directed interviews with 20 noma survivors and 10 healthcare professionals and community leaders was conducted between January and March 2021 in Burkina Faso with the aim of describing the experiences of noma survivors, generating knowledge about living with the burden of the disease and understanding the attitudes of community leaders towards the disease. The results reveal that noma is a disease that affects economically vulnerable populations and leads to extreme household poverty. As far as treatment is concerned, patients tend to turn to practitioners of both traditional and modern medicine. Within communities, noma survivors face discrimination and stigma. The study highlighted a lack of information and knowledge about noma. However, surgical operations lead to patient satisfaction and these remain one of the coping strategies used to tackle the stigma and discrimination. The recommendations set out in this article are aimed firstly at stepping up research into the psycho-social impacts of noma, and secondly at considering these impacts in regional programmes and national plans to combat the disease.

Social media provide an ideal medium for breeding and reinforcing vaccine hesitancy, especially during public health emergencies. Algorithmic recommendation-based technology along with users' selective exposure and group pressure lead to online echo chambers, causing inefficiency in vaccination promotion. Avoiding or breaking echo chambers largely relies on key users' behavior. With the ultimate goal of eliminating the impact of echo chambers related to vaccine hesitancy on social media during public health emergencies, the aim of this study was to develop a framework to quantify the echo chamber effect in users' topic selection and attitude contagion about COVID-19 vaccines or vaccinations; detect online opinion leaders and structural hole spanners based on network attributes; and explore the relationships of their behavior patterns and network locations, as well as the relationships of network locations and impact on topic-based and attitude-based echo chambers. We called the Sina Weibo application programming interface to crawl tweets related to the COVID-19 vaccine or vaccination and user information on Weibo, a Chinese social media platform. Adopting social network analysis, we examined the low echo chamber effect based on topics in representational networks of information, according to attitude in communication flow networks of users under different interactive mechanisms (retweeting, commenting). Statistical and visual analyses were used to characterize behavior patterns of key users (opinion leaders, structural hole spanners), and to explore their function in avoiding or breaking topic-based and attitude-based echo chambers. Users showed a low echo chamber effect in vaccine-related topic selection and attitude interaction. For the former, the homophily was more obvious in retweeting than in commenting, whereas the opposite trend was found for the latter. Speakers, replicators, and monologists tended to be opinion leaders, whereas common users, retweeters, and networkers tended to be structural hole spanners. Both leaders and spanners tended to be \"bridgers\" to disseminate diverse topics and communicate with users holding cross-cutting attitudes toward COVID-19 vaccines. Moreover, users who tended to echo a single topic could bridge multiple attitudes, while users who focused on diverse topics also tended to serve as bridgers for different attitudes. This study not only revealed a low echo chamber effect in vaccine hesitancy, but further elucidated the underlying reasons from the perspective of users, offering insights for research about the form, degree, and formation of echo chambers, along with depolarization, social capital, stakeholder theory, user portraits, dissemination pattern of topic, and sentiment. Therefore, this work can help to provide strategies for public health and public opinion managers to cooperate toward avoiding or correcting echo chamber chaos and effectively promoting online vaccine campaigns.

Using a random sample of posts on Weibo, this study content analyzes the extent to which Weibo opinion leaders’ tweets are associated with the shifts and variations of public opinion—in terms of topic salience, emotional reactions, agent of responsibility, motivation for condemnation, rhetorical techniques, conviction of blame, and emotional intensity—in the case of the Tianjin Explosion. Building upon a burgeoning research agenda examining the role of Chinese Weibo in the context of two-step flow, this study found that opinion leaders generally reinforce Weibo users’ subjective assessment (e.g., attitudes and emotional responses) of the incident. An overwhelming sleeper effect is also observed in that most posts by the opinion leaders did not contribute to peaks until 2–3 days later. All opinion leaders achieved between one and three peaks.

Identifying low-cost implementation strategies to facilitate the uptake of technological innovations can help low-resource community clinics mitigate health disparities. Using a social network approach to identify organizational opinion leaders (OLs) can facilitate the adoption of innovations. To fill knowledge gaps related to alternative methods of identifying OLs, we identify and compare OLs in a low-resource community clinic using theoretically based techniques using Phi correlations and a binary logistic regression. Results showed that OLs identified through 3 out of 4 non-network identification methods (self-identification, positional, and staff selection) were significantly positively correlated with OLs identified using a social network approach. In addition, combining positional and staff selection methods was also found to be significantly associated with OLs identified using the social network approach. Implications for public health include the potential for non-network identification techniques to identify OLs to increase the uptake of technological innovations in low resource community clinics.