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This paper delves into evaluating the effectiveness of warning messages as a deterrent against excessive fat consumption. It examines how consumers perceive the fat content of food products when presented with two distinct label types: (1) a textual warning, providing succinct information about the fat content, and (2) a pictorial warning, offering a visual representation that immediately signifies the fat content.

Two quantitative studies were carried out. Study 1 employed a questionnaire to evaluate the efficacy of textual and pictorial warning messages on high- and low-fat food products. Similarly, Study 2 replicated this comparison while incorporating a neuromarketing instrument to gauge participants’ cerebral reactions.

Results indicate that pictorial warnings on high-fat foods significantly deter consumers’ purchasing intentions. Notably, these pictorial warnings stimulate the left prefrontal area of the cerebral cortex, inducing negative emotions in consumers and driving them away from high-fat food items.

While the influence of images over text in shaping consumer decisions is well understood in marketing, this study accentuates the underlying mechanism of such an impact through the elicitation of negative emotions. By understanding this emotional pathway, the paper presents fresh academic and managerial perspectives, underscoring the potency of pictorial warnings in guiding consumers towards healthier food choices.

1. Textual warnings do not seem to discourage high-fat product consumption.

2. A pictorial warning represents the fat content of an equivalent product.

3. Pictorial warnings decrease the intention to purchase a high-fat product.

4. Pictorial warnings determine an increase in negative emotions.

Textual warnings do not seem to discourage high-fat product consumption.

A pictorial warning represents the fat content of an equivalent product.

Pictorial warnings decrease the intention to purchase a high-fat product.

Pictorial warnings determine an increase in negative emotions.

The tobacco industry consistently opposes measures that would limit their marketing, but provides little empirical evidence to support its position. This paper aims to test claims that pictorial health warnings on tobacco products would be no more effective than text‐only warnings.

Three studies used face‐to‐face interviews with smokers and non‐smokers to compare pictorial and text‐only warnings. Two studies used semantic differential scales to estimate cognitive and affective responses to pictorial and text‐only warnings, and the Juster Scale to provide behavioural estimates. The final study used best worst scaling to compare paired pictorial and text‐only warnings.

Images featuring medical and social images elicited stronger affective, cognitive and behavioural responses than a control, text‐only message. Comparisons of refreshed text and pictorial warnings found the latter elicited stronger reactions while the former produced similar results to the control. Updating text warnings did not render these more effective; however, adding an image to an existing text warning made this more effective than the control.

Arguments advanced by the tobacco industry need empirical analysis to assess their validity.

This study provides evidence that pictorial health warnings are more effective than text warnings and suggests that refreshing the text used in warning labels, the alternative promoted by the tobacco industry, would be less effective than introducing pictorial warnings.

This is the first comparison of pictorial and refreshed text warnings; the findings challenge the tobacco industry's position on tobacco warning labels and contradict arguments used to oppose the introduction of pictorial warning labels.

The purpose of this research is to demonstrate the effectiveness of pictorial warning labels that leverage the risk of obesity as a deterrent against alcohol abuse. It evaluates the impact of three different kinds of warning labels that can potentially discourage alcoholic drinking: (1) a claim, in text format, that cautions consumers about the product (i.e. a responsibility warning statement); (2) a textual warning label, text-format information on the content of the product or the consequences of excessive consumption (i.e. a synthetic nutritional table); (3) a pictorial warning label, an image depicting a food product with a caloric content equivalent to that of an alcoholic beverage.

In Study 1, a 2 × 2 × 2 factorial design is used to evaluate the intention to buy different alcoholic cocktails. The stimuli comprised two cocktails that are similar in alcoholic volume, but different in their caloric content. The images of the products were presented across eight warning label conditions and shown to 480 randomly selected Italian respondents who quantified their intention to buy the product. In Study 2, a different sample of 34 Italian respondents was solicited with the same stimuli considered in Study 1, and neuropsychological measurements through Electroencephalography (EEG) were registered. A post hoc least significance difference (LSD) test is used to analyse data.

The results show that only the presence of an image representing an alcoholic beverage's caloric content causes a significant reduction in consumers' purchase intentions. This effect is due to the increase in negative emotions caused by pictorial warning labels.

The findings provide interesting insights on pictorial warning labels, which can influence the intention to purchase alcoholic beverages. They confirmed that the use of images in the warning labels has a greater impact than text, and that the risk of obesity is an effective deterrent in encouraging consumers to make healthier choices.

The placement of warning labels on alcoholic beverages is a policy area with renewed interest, yet a strong evidence base regarding the efficacy of text-based or pictorial warning labels has still to emerge. Increased interest by policymakers has spurred research into potential alcohol warning label designs and messages. The purpose of this article is to draw together recearch in the alcohol warnings literature.

The current study seeks to review research that has sought to examine the effectiveness of alcohol warning labels. Searches for English-language articles (since 2000) using the terms “alcohol” and “warning label*” were conducted in 2015 across four databases (Web of Science, PubMed, PsycInfo and Cochrane). Articles were included if they empirically assessed the effectiveness and/or design of alcohol warning labels. Only studies that addressed the targeted individual consumer (consistent with downstream social marketing) were included. A narrative analysis approach was used for the 15 articles identified.

Findings are reported on five themes covering the design of the warning, starting with the use of imagery or recommendations, followed by a focus on the warning messages and whether they are specific, use signal words and are based on qualitative or quantitative information.

Overall, there was little consistency in approach and measures, with very limited research having explored the potential of pictorial warning labels. Numerous research gaps are identified; thus, much more research is needed in this area. The evidence base is weak and caution is needed by policymakers regarding the introduction and implementation of alcohol warning labels. Limitations are discussed.

The review provides a timely up-to-date evaluation of the alcohol warning labels literature that has seen a recent resurgence but has not been critically reviewed.

In the field of public relations and communication management, message evaluation has been one of the starting points for evaluation and measurement research at least since the 1970s. Reliable and valid message evaluation has a central role in message effects research and campaign design in other disciplines as well as communication science. The purpose of this paper is to offer a message testing protocol to efficiently acquire valid and reliable message evaluation data.

A message testing protocol is described in terms of how to conceptualize and evaluate the content and format of messages, in terms of procedures for acquiring and testing messages and in terms of using efficient, reliable and valid measures of perceived message effectiveness (PME) and perceived argument strength (PAS). The evidence supporting the reliability and validity of PME and PAS measures is reviewed.

The message testing protocol developed and reported is an efficient, reliable and valid approach for testing large numbers of messages.

Researchers’ ability to select candidate messages for subsequent deeper testing, for various types of communication campaigns, and for research in theory testing contexts is facilitated. Avoiding the limitations of using a single instance of a message to represent a category (also known as the case-category confound) is reduced.

Communication campaign designers are armed with tools to assess messages and campaign concepts quickly and efficiently, reducing pre-testing time and resources while identifying “best-in-show” examples and prototypes.

Message structures are conceptualized in terms of content and format features using theoretically driven constructs. Measures of PAS and PME are reviewed for their reliability, construct and predictive validity, finding that the measures are acceptable surrogates for actual effectiveness for a wide variety of messages and applications. Coupled with procedures that reduce confounding by randomly nesting messages within respondents and respondents to messages, the measures used and protocol deployed offer an efficient and utilitarian approach to message testing and modeling.

This study aims to investigate the role of two structural factors – threat level depicted on fear messages and warning size – as well as two contextual factors – repeated exposure and type of packs – on pictorial and threatening tobacco warnings’ effectiveness.

A two (warning threat level: moderate vs high) × two (coverage: 40 vs 75 per cent) × two (packaging type: plain vs branded) within-subjects experiment was carried out. Subjects were exposed three times to pictorial and threatening tobacco warnings. Both self-report and psychophysiological measurements of emotion were used.

Results indicate that threat level is the most effective structural factor to influence smokers’ reactions, while warning size has very low impact. Furthermore, emotional arousal, fear and disgust, as well as attitude toward tobacco brand, decrease after the second exposure to pictorial and threatening tobacco warnings, but stay stable at the third exposure. However, there is no effect of repetition on the emotional valence component, arousal-subjective component, on intention of quitting or of reducing cigarette consumption. Finally, there is a negative effect of plain packs on attitude toward tobacco brand over repeated exposures, but there is no effect of the type of packs on smokers’ emotions and intentions.

Useful marketing social guidance, which might help government decision-makers increase the effectiveness of smoking reduction measures, is offered.

For the first time in this context, psychophysiological and self-report measurements were combined to measure smokers’ reactions toward pictorial and threatening tobacco warnings in a repeated exposure study.

The purpose of this paper is to test the effects of cigarette warning labels that used text-only or text-plus relevant graphics. The labels were framed in terms of either the negative consequences of smoking (loss frame) or the benefits of not smoking (gain frame). The role of smoking identity – the centrality of being a smoker to one's self-concept – in the effects of the warning labels was also examined.

An experiment was conducted online with 132 college smokers. Participants were randomly assigned to viewing either graphic or text-only labels that were either gain or loss framed. Smoking identity was measure prior to viewing. Message evaluations and smoking intentions were assessed after exposure as dependent measures.

A consistent interaction between graphics and framing emerged across a number of dependent measures. For graphic warning labels, the loss frame was more advantageous than the gain frame. For text-only warning labels, framing did not make any difference. This two-way interaction was further qualified by smoking identity for some, but not all, dependent measures.

Findings from this study support the use of graphic warning labels that focus on the negative health consequences of smoking.

Experimental research on graphic cigarette warning labels is limited and rarely considers the roles of framing and smoking identity. This study offered an initial test of the complex interaction among these message and audience variables as they jointly influence message reception and smoking intentions.

The purpose of this study is to examine the effects of self-affirmation on African American smokers' intentions to quit smoking sooner and desire to stop smoking altogether in response to viewing graphic cigarette warning labels. It also tested the mediating role of perceived susceptibility and self-efficacy in explaining the impact of self-affirmation.

African American smokers (N = 158) were recruited to participate in a controlled experiment. Participants first completed a short questionnaire about their demographic background and smoking-related attitudes and behavior. They were then randomly assigned to engage in either a self-affirmation task or a control task and viewed two graphic cigarette warning labels subsequently. Participants then responded to a questionnaire about their perceived susceptibility to smoking-related diseases, perceived self-efficacy to quit smoking, intentions to quit smoking and desire to stop smoking altogether.

Results showed that engaging in self-affirmation prior to exposure to graphic cigarette warning labels increased African American smokers' perceived susceptibility to smoking-related diseases, but decreased their perceived self-efficacy to quit smoking. Furthermore, self-affirmation indirectly enhanced smokers' intentions to quit smoking sooner and desire to stop smoking altogether through increased perceived susceptibility. It also had an unexpected negative indirect effect on intentions to quit smoking sooner through decreased self-efficacy.

This study is one of the few studies that investigates the effect of self-affirmation on African American smokers' responses toward graphic cigarette warning labels.

The purpose of this paper is to find out whether the plain packaging format in cigarette labeling is worth adopting or not.

A lab experiment with a 2 (existing vs plain packaging format) × 2 (familiar vs unfamiliar brand) factorial design was conducted with Chinese subjects in Macau.

The plain packaging format in cigarette labeling reduces both smoking intent and brand likability in familiar brand condition but not unfamiliar brand condition.

When many governments are currently deliberating about whether to follow the plain packaging initiative, this study constitutes a timely investigation of the effects of it on smoking intent and brand likability among Chinese young non-smokers. The positive effect of the plain packaging in familiar brand condition provides the justification of adopting it by the governments.

Studies of plain packaging have not been taking brand familiarity into consideration (the only exceptional study used the top three familiar brands and thus failed to examine the familiarity effect) but the study focussed on it. In the data analysis, if brand familiarity is not considered, wrong conclusion will be drawn. Therefore, by having brand familiarity as moderator, the authors are able to correctly conclude that plain packaging format is worth adopting.

This article proposes a novel hybrid simulation model for understanding the complex tobacco use behavior.

The model is developed by embedding the concept of the multistage learning-based fuzzy cognitive map (FCM) into the agent-based model (ABM) in order to benefit from advantageous of each methodology. The ABM is used to represent individual level behaviors while the FCM is used as a decision support mechanism for individuals. In this study, socio-demographic characteristics of individuals, tobacco control policies, and social network effect are taken into account to reflect the current tobacco use system of Turkey. The effects of plain package and COVID-19 on tobacco use behaviors of individuals are also searched under different scenarios.

The findings indicate that the proposed model provides promising results for representing the mental models of agents. Besides, the scenario analyses help to observe the possible reactions of people to new conditions according to characteristics.

The proposed method combined ABM and FCM with a multi-stage learning phases for modeling a complex and dynamic social problem as close as real life. It is expected to contribute for both ABM and tobacco use literature.