We tested the plausibility of a cognitive-emotional model to understand the effects of messages framed in terms of gain, non-loss, non-gain, and loss, and related to the health consequences of ...red/processed meat consumption. A total of 544 Italian participants reported their attitude toward reduced red/processed meat consumption and intention to eat red/processed meat (time 1 questionnaire). One week later, participants were randomly assigned to four different message conditions: (a) gain messages focused on the positive health outcomes associated with low meat consumption; (b) non-loss messages focused on the avoided negative health outcomes associated with low meat consumption; (c) non-gain messages focused on the missed positive health outcomes associated with high meat consumption; (d) loss messages focused on the negative health outcomes associated with high meat consumption (message sending). After reading the messages, participants answered a series of questions regarding their emotional and cognitive reactions to the messages, their evaluation of the messages, and again their attitude and intention toward red/processed meat consumption (time 2 questionnaire). Comparing different multivariate linear models under the Bayesian approach, we selected the model with the highest plausibility conditioned to observed data. In this model, message-induced fear influenced systematic processing, which in turn positively influenced message evaluation and attitude, leading to reduced intention to consume red/processed meat. Vice versa, message-induced anger reduced systematic processing, which in turn negatively influenced message evaluation, and led to no effect on attitude and intention. The comparison among message conditions showed that gain and non-loss messages activated integrated emotional and cognitive processing of the health recommendation, while loss and non-gain messages mainly activated emotional shortcuts toward attitude and intention. Overall, these results advance our comprehension of the effects of message framing on receivers' attitudes and intentions.
News Framing Effects Lecheler, Sophie; de Vreese, Claes H.
2019, 20180903, 2018-09-03, 2018-08-23
eBook
Open access
News Framing Effects is a guide to framing effects theory, one of the most prominent theories in media and communication science. Rooted in both psychology and sociology, framing effects theory ...describes the ability of news media to influence people’s attitudes and behaviors by subtle changes to how they report on an issue. The book gives expert commentary on this complex theoretical notion alongside practical instruction on how to apply it to research.
The book’s structure mirrors the steps a scholar might take to design a framing study. The first chapter establishes a working definition of news framing effects theory. The following chapters focus on how to identify the independent variable (i.e., the “news frame”) and the dependent variable (i.e., the “framing effect”). The book then considers the potential limits or enhancements of the proposed effects (i.e., the “moderators”) and how framing effects might emerge (i.e., the “mediators”). Finally, it asks how strong these effects are likely to be. The final chapter considers news framing research in the light of a rapidly and fundamentally changing news and information market, in which technologies, platforms, and changing consumption patterns are forcing assumptions at the core of framing effects theory to be re-evaluated.
The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in contradictory ways. But while there is increasing speculation about both its dangers and its benefits, ...there is very little empirical research to substantiate them. This study aims at mapping the challenges in the adoption of AI in the public sector as perceived by key stakeholders. Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI system IBM Watson in public healthcare in China, to map how three groups of stakeholders (government policy-makers, hospital managers/doctors, and Information Technology (IT) firm managers) perceive the challenges of AI adoption in the public sector. Findings show that different stakeholders have diverse, and sometimes contradictory, framings of the challenges. We contribute to research by providing an empirical basis to claims of AI challenges in the public sector, and to practice by providing four sets of guidelines for the governance of AI adoption in the public sector.
•We map how stakeholders frame challenges of AI adoption in the public sector.•We investigate the adoption of IBM Watson in public healthcare in China.•We identify challenges in seven dimensions as framed by three stakeholder groups.•Stakeholders have diverse framings of AI adoption in the public sector.•We suggest future research and provide four governance recommendations.
Collaborative robots (cobots) enable human-robot interactions in the workplace without safety fences. An appropriate level of trust by employees is critical to the success of these interactions. ...Anthropomorphic perceptions and fears of technological replacement affect trust formation. They can be influenced by linguistic framing, as this interdisciplinary empirical study shows.
Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects ...user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies.
La migración es uno de los temas más discutidos de los últimos años en nuestro país y la forma en que se trata en los medios podrían impactar en la opinión pública, por lo que resulta de especial ...interés analizar cómo los medios direccionan el interés del público hacia temas y encuadres. La presente investigación buscó describir los marcos de sentido (frames) dominantes en el contenido de las notas de prensa sobre migrantes en los medios de comunicación: La Tercera y El Mostrador, durante octubre 2018 y noviembre de 2019. La información analizada mostró la presencia de una valoración hacia los migrantes mayormente negativa de editoriales hegemónicas y neutras en las contrahegemónicas, donde cada medio estaría exponiendo diferentes tópicos según su línea editorial, prevaleciendo encuadres de conflicto y de moral en las notas de prensa. Nuestros hallazgos evidencian la necesidad de aproximarse de manera cualitativa a las percepciones de los lectores para una mayor comprensión de la influencia de los medios hegemónicos y contrahegemónicos en la opinión pública.
The peer-to-peer lending and transfer of underutilized resources – the so-called Sharing Economy – make up for a sizeable and rapidly increasing portion of the economy. The digital platforms that ...enable it have the primary goal of promoting trust among users and providers. In an online experiment, we study how the platform’s revenue model (No-profit vs. For-profit) interacts with its communication strategy in shaping trust. In particular, we consider two communication strategies, one highlighting the trust dimension and the other highlighting the interaction’s profitability. We show how these strategies can affect trust differently for pure-sharing and market-oriented for-profit platforms. We observe that a communication strategy that evokes trust feelings, if sent by a for-profit platform, decreases trust in the interaction. This evidence suggests that leveraging a rhetoric of trust can backfire for profit-oriented platforms in terms of trust generation.
•We investigate trust among users and providers in a Sharing Economy platform.•We augment a standard trust game by introducing a third player in an experiment.•We study how the revenue model interacts with the communication strategy in shaping trust.•A communication strategy that evokes trust, in a for-profit setting, decreases trust.
Travellers make booking decisions under uncertainty. They may book early and get a discount, but then find they cannot travel at the later time. Or they may wait until the last minute, and perhaps ...miss out altogether. Prospect Theory introduced framing (presentation of messages emphasising loss or gain) to investigate decision-making under uncertainty. In other studies a loss (negative) frame has been found to be more effective than a gain (positive) frame when decision-makers were given a choice. Since tourism providers benefit when travellers make early bookings, three studies using framing were performed to see what kind of framing was more effective in persuading travellers to book in advance. Two different kinds of framing were adopted: risky choice and attribute framing. The results of the three studies confirm the predictions of Prospect Theory, and suggest ways of managing tourism campaigns to encourage advance booking.
•This research is among the first to seek to understand better the temporal determinants of tourists' choice decisions.•As suppliers of tourism services benefit from early booking behaviour, such knowledge is of significant value.•Prospect Theory can be applied successfully to the study of tourists' temporal decision-making.•Different approaches to message framing can influence the timing of tourists' choices.•Positively framed messages elicit more early booking decisions than negatively framed messages.
Disembodied conversational agents in the form of chatbots are increasingly becoming a reality on social media and messaging applications, and are a particularly pressing topic for service encounters ...with companies. Adopting an experimental design with actual chatbots powered with current technology, this study explores the extent to which human-like cues such as language style and name, and the framing used to introduce the chatbot to the consumer can influence perceptions about social presence as well as mindful and mindless anthropomorphism. Moreover, this study investigates the relevance of anthropomorphism and social presence to important company-related outcomes, such as attitudes, satisfaction and the emotional connection that consumers feel with the company after interacting with the chatbot.
•Human-like cues increase perceptions of mindless and mindful anthropomorphism.•Social presence higher for human- (vs. machine-like) agent with intelligent frame.•Human-like cues increase company emotional connection levels in service encounters.•Social presence mediates effect of human-like cues on company emotional connection.
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