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Campaigns to promote the COVID-19 vaccination messages to vaccine-hesitant consumers in the late stages of the pandemic are often met with resistance. This study aims to explore a way to leverage positive emotions induced from entertainment media consumption to promote vaccination messages to this audience group.

An online experiment was conducted with vaccine-hesitant consumers (N = 409). Participants viewed personally relevant entertainment music videos or mundane videos and vaccinated messages embedded in user-generated comments.

Data revealed that feelings of inspiration and nostalgia induced from entertainment media consumption increased vaccination intentions via increased risk perceptions and reduced anti-vaccination attitudes.

Social marketers should consider leveraging the combined effect of entertainment media-induced positive emotions and user-generated comments to motivate behavioral change among vaccine-hesitant individuals in the late stages of the COVID-19 pandemic.

The present study adds to social marketing literature by showing mechanisms that positive emotions induced from entertainment social media consumption might lead to health behavioral change.

As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.

Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.

In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.

This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186

The purpose of the paper is to analyse the interactions of bridging users in Twitter discussions about vaccination.

Conversational threads were collected through filtering the Twitter stream using keywords and the most active participants in the conversations. Following data collection and anonymisation of tweets and user profiles, a retweet network was created to find users bridging the main clusters. Four conversations were selected, ranging from 456 to 1,983 tweets long, and then analysed through content analysis.

Although different opinions met in the discussions, a consensus was rarely built. Many sub-threads involved insults and criticism, and participants seemed not interested in shifting their positions. However, examples of reasoned discussions were also found.

The study analyses conversations on Twitter, which is rarely studied. The focus on the interactions of bridging users adds to the uniqueness of the paper.

The ‘fit healthy’ body has been invoked in popular discourse as far less vulnerable to communicable diseases like the novel coronavirus both in mainstream accounts of the pandemic and in more fringe anti-vaccine discourse. Those opposed to vaccination argue the management of the body through diet and exercise allows for natural immune processes to manage COVID-19. This chapter interrogates anti-vaccine sentiment in Western countries such as Australia, Canada, the United Kingdom and the United States to demonstrate the pervasiveness of discourses that position the maintenance of a ‘fit healthy’ ideal body as an alternative to preventative medicine such as vaccines. Drawing on several key examples, this conceptual chapter explores the ways bodily ‘wellness’ became a part of vaccine hesitancy discourse during the pandemic, as risk is balanced through calculations of what vaccines might ‘do’ to a body and the body’s capacity to respond to illness.

Vaccine hesitancy is a long-standing issue among both the general population and health communicators. This study aims to ascertain the inclination and the reasons for vaccine hesitancy by conducting content analysis and sentiment analysis of the perspectives expressed in comments on videos related to vaccine hesitancy uploaded from India on YouTube.

The assessment of the sentiments of the vaccine-hesitant population is done using Valence Aware Dictionary and sEntiment Reasoner sentiment analysis module implemented with Python’s NLTK library to automatically determine the sentiments of the comments. Manual content analysis was performed on 60.09% viewer comments randomly selected from the total comments in 238 videos on vaccine hesitancy originated from India and labelled each comment with labels “Anti”, “Pro”, “Confused”, “Not Applicable” and “Unrelated” labels.

The study found “Mistrust-Government policies”, “Fear-health related consequences”, “Mistrust-Scientific research”, “Vaccine effectiveness and efficacy” and “Misinformation/myths” as the top five determinants for vaccine hesitancy, whereas “Religious beliefs”, “Fear-Economic consequences”, “Side Effects- short-term” and “Fear-mode of administration” found to be the lesser cited reasons for vaccine hesitancy. However, the study also investigates changes in the inclination of Indian commenters towards vaccine hesitancy and revolving issues over time.

Public health policymakers and health communicators may find the study useful in determining vaccine hesitancy factors in India.

The originality of this study lies in its approach. To date, no sentiment analysis has been conducted on the content released on YouTube by Indian content creators regarding pro- and anti-vaccination videos. This inquiry seeks to fill this research gap.

The purpose of this paper is to discuss the main reasons driving the anti‐vaccination movement (AVM) and relate similarities and differences of the AVM with the anti‐consumption of other products.

The paper conducts thematic analysis of various online sources, including medical journals, blogs, science articles and business/social science databases.

First, the paper outlines the main themes (religion, freedom of choice, risk, and uncertainty) driving the anti‐consumption of vaccines. Second, it explains why the AVM is a unique and paradoxical form of anti‐consumption. Third, although much anti‐consumption behaviour is motivated by the belief that rejecting certain acts of consumption may be beneficial to society, the paper uses the AVM to show that not all anti‐consumption behavior has clear‐cut benefits for society.

While this is predominately a conceptual paper, a commentary on the AVM has never been attempted by business scholars. This is surprising since business scholars are able to bring a more impartial viewpoint to the debate than both the medical establishment and proponents of natural therapy. As this paper is not associated with medical interests, nor the AVM, the focus is on the welfare of consumers and as such, a more detached perspective may be useful in this controversial area.

Since the AVM debate is filled with much uncertainty, the paper recommends a more balanced/respectful approach by the medical community, pro‐vaccinators and the AVM.

Unlike previous work in the area, this research intersects commercial, societal, and medical interests. It also highlights AVM as an interesting case where large groups of people sharing similar anti‐consumption behaviours are actually incompatible with one another.

Purpose – The authors examine framing and narrativization in news coverage of health threats to assess variations in news discourse for known, emerging and novel health risks. Methodology/Approach – Using the analytical categories of known, emerging, and novel risks the authors discuss media analyses of anti-vaccination, antimicrobial resistance (AMR), and Covid-19. Findings – Known risks are framed within a biomedical discourse in which scientific evidence underpins public health guidelines, and following these directives prevent risk exposure while non-compliance is characterized as immoral and risky. News coverage of emerging risks highlights public health guidelines but fails to convey their importance as the risks seem too distant or abstract. Media coverage of novel risks is characterized by the ubiquity of uncertainty, which emerges as a “master frame” under which all incidents and events are subsumed. Stories about novel risks highlight the fluid and changing nature of scientific knowledge, which has the unintended effect of fueling uncertainty as studies and experts contradict each other. Originality/Value – This chapter introduces a new analytical framework for examining how media stories represent public health risks, along with previously unpublished analysis of media coverage about AMR and Covid-19. This chapter provides insight about the nature of risk discourses involving media, public health officials, activists, and citizens.