scholarly journals Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

10.2196/12443 ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. e12443 ◽  
Author(s):  
Kar-Hai Chu ◽  
Jason Colditz ◽  
Momin Malik ◽  
Tabitha Yates ◽  
Brian Primack
2018 ◽  
Author(s):  
Kar-Hai Chu ◽  
Jason Colditz ◽  
Momin Malik ◽  
Tabitha Yates ◽  
Brian Primack

BACKGROUND Hookah tobacco smoking (HTS) is a particularly important issue for public health professionals to address owing to its prevalence and deleterious health effects. Social media sites can be a valuable tool for public health officials to conduct informational health campaigns. Current social media platforms provide researchers with opportunities to better identify and target specific audiences and even individuals. However, we are not aware of systematic research attempting to identify audiences with mixed or ambivalent views toward HTS. OBJECTIVE The objective of this study was to (1) confirm previous research showing positively skewed HTS sentiment on Twitter using a larger dataset by leveraging machine learning techniques and (2) systematically identify individuals who exhibit mixed opinions about HTS via the Twitter platform and therefore represent key audiences for intervention. METHODS We prospectively collected tweets related to HTS from January to June 2016. We double-coded sentiment for a subset of approximately 5000 randomly sampled tweets for sentiment toward HTS and used these data to train a machine learning classifier to assess the remaining approximately 556,000 HTS-related Twitter posts. Natural language processing software was used to extract linguistic features (ie, language-based covariates). The data were processed by machine learning tools and algorithms using R. Finally, we used the results to identify individuals who, because they had consistently posted both positive and negative content, might be ambivalent toward HTS and represent an ideal audience for intervention. RESULTS There were 561,960 HTS-related tweets: 373,911 were classified as positive and 183,139 were classified as negative. A set of 12,861 users met a priori criteria indicating that they posted both positive and negative tweets about HTS. CONCLUSIONS Sentiment analysis can allow researchers to identify audience segments on social media that demonstrate ambiguity toward key public health issues, such as HTS, and therefore represent ideal populations for intervention. Using large social media datasets can help public health officials to preemptively identify specific audience segments that would be most receptive to targeted campaigns.


2020 ◽  
Author(s):  
Jens Koed Madsen

Previous research concerning the effectiveness of public health campaigns have explored the impact of message design, message content, communication channel choice and other aspects of such campaigns. Meta analyses reported in the literature reveal, however, that the choice of endorsers in health campaigns remains unexplored. The present study addresses this gap in the literature by studying what makes doctors from public health campaigns appear trustworthy in the eyes of the receiver. The present research examines propensity for trust as well facets of trustworthiness of such expert doctors based on a survey carried out in the UK (155 respondents). Underlying factors of trustworthiness are explored to gain more insight into the understanding of how trust may affect the public’s belief updating and the formation of intentions. Exploratory factor analyses suggest four dimensions of trustworthiness. Multiple regression analyses demonstrate that these factors explain almost 70% of the variance in the participants’ expressed trust in doctors from public health campaigns. Doctors’ ethical stance and their care for the health of the general population appear to be more important for perceived trustworthiness than their actual professional background, although their abilities and competences are closely related to ethics and benevolence. For policy makers this has important implications when selecting endorsers for public health campaigns in order to design effective health related communication, for example to combat obesity.


2021 ◽  
Author(s):  
Heeje Lee ◽  
Minah Kang ◽  
Sangchul Yoon ◽  
Kee B. Park

Abstract Tobacco use is one of the main public health concerns as it causes multiple diseases. The Democratic People’s Republic of Korea (DPRK) is one of the 168 signatory countries of the World Health Organization (WHO) member states agreed to adopt the WHO Framework Convention of Tobacco Control (FCTC). However, there is lack of information regarding the tobacco use in the DPRK and the government’s efforts for tobacco control. The aim of the study was to find the prevalence of tobacco use among the DPRK people and the government’s efforts to control tobacco use among its population, through literature review combined with online media content analysis. In 2020, the prevalence of tobacco smoking in males of 15 years and older was 46.1%, whereas that in females was zero. The online media contents showed the DPRK government’s stewardship to promote population health by controlling tobacco use. Furthermore, the DPRK government has taken steps to implement the mandates of the FCTC including introduction of new laws, promotion of research, development of cessation aids, as well as public health campaigns.


Author(s):  
Roy Schwartzman ◽  
Jenni M. Simon

The COVID-19 pandemic in the United States spawns a perplexing polemic. Intransigent coronavirus skeptics who defy public health recommendations often get cast as ideological zealots or as perniciously ignorant. Both characterizations overlook a more fundamental epistemic opposition. The authors recast the conflict between COVID-19 skeptics and public health advocates as the rhetorical incompatibility between the deliberative, scientifically grounded public health experts and the intuitive, emotion-driven mental heuristics of the non-compliant. This study examines the discourse of COVID-19 misinformation purveyors on broadcast media and online. Their main contentions rely on heuristics and biases that collectively not only undermine trust in particular medical experts, but also undercut trust in the institutions and reasoning processes of science itself. The findings suggest ways that public health campaigns can become more effective by leveraging some of the intuitive drivers of attitudes and behaviors that scientists and argumentation theorists routinely dismiss as fallacious.


2019 ◽  
Vol 11 (2) ◽  
pp. 143-175 ◽  
Author(s):  
D. Mark Anderson ◽  
Kerwin Kofi Charles ◽  
Claudio Las Heras Olivares ◽  
Daniel I. Rees

The US tuberculosis (TB) movement pioneered many of the strategies of modern public health campaigns. Using newly transcribed mortality data at the municipal level for the period 1900–1917, we explore the effectiveness of public health measures championed by the TB movement, including the establishment of sanatoriums and open-air camps, prohibitions on public spitting and common cups, and requirements that local health officials be notified about TB cases. Our results suggest that these and other anti-TB measures can explain, at most, only a small portion of the overall decline in pulmonary TB mortality observed during the period under study. (JEL H51, I12, I18, N31, N32)


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