The fake news effect: what does it mean for consumer behavioral intentions towards brands?

Purpose This study aims to understand how fake news can cause an impact on consumer behavioral intentions in today’s era when fake news is prevalent and common. Brands have not only faced reputational losses but also got a dip in their share prices and sales, which affected their financial standing. Hence, it is significant for brands to understand the impact of fake news on behavioral intentions and to strategize to manage the impact. Design/methodology/approach This study uses several branding and marketing concepts such as brand experience, brand trust, brand credibility, consumer behavioral intentions along with variables suggested by Elaboration Likelihood Model and Heuristic Systematic Model such as personal relevance/involvement. For fake news, news truthfulness, news credibility and source credibility are used. Findings The results of this study shows that positive brand experience, brand trust, brand credibility help in creating positive behavioral intentions for brands. This study shows that brands focusing on providing positive brand experience have a stronger brand trust and credibility and are affected less by fake news than those brands which do not emphasize on these factors. Practical implications This paper can assist brand managers in understanding the impact fake news can have on behavioral intentions of consumers. The managers can strategize such that the fake news affects their brands the least. Originality/value The authors in this paper attempt to fill in the gap in literature, which is to study how the fake news impacts the brands considering the credibility, trust and experience they establish with their customers. The existing literature discusses the generation and dissemination of fake news on social media and its impact on political scenarios and personalities. Also, studies explain the impact of fake news on the financial position of brands, but marketing facets are not tested empirically.

Exploring the Moderating Role of Readers’ Perspective in Evaluations of Online Consumer Reviews

Drawing upon the heuristic–systematic model (HSM) and considering the readers’ perspective, this study predicts that readers’ involvement and homophily between the reader and the review author (source) moderate the relationships between the credibility perception of online reviews and its antecedent factors. To test our hypotheses, we performed a user study on the Amazon Mechanical Turk platform. The results show that reader’s involvement moderates source credibility, internal consistency, review objectivity, and review sidedness on review credibility. In addition, homophily between the reader and the source also moderates the relationship between review credibility and its source. Our study contributes to information processing literature, especially in the context of online reviews, and suggests a better classification of the attributes related to online reviews using the HSM. Besides, it helps e-commerce platforms to customize online reviews for each reader to satisfy their information need and help them to make a better purchasing decision.

Creepy, but Persuasive: In a Virtual Consultation, Physician Bedside Manner, Rather than the Uncanny Valley, Predicts Adherence

Care for chronic disease requires patient adherence to treatment advice. Nonadherence worsens health outcomes and increases healthcare costs. When healthcare professionals are in short supply, a virtual physician could serve as a persuasive technology to promote adherence. However, acceptance of advice may be hampered by the uncanny valley effect—a feeling of eeriness elicited by human simulations. In a hypothetical virtual doctor consultation, 441 participants assumed the patient’s role. Variables from the stereotype content model and the heuristic–systematic model were used to predict adherence intention and behavior change. This 2 × 5 between-groups experiment manipulated the doctor’s bedside manner—either good or poor—and virtual depiction at five levels of realism. These independent variables were designed to manipulate the doctor’s level of warmth and eeriness. In hypothesis testing, depiction had a nonsignificant effect on adherence intention and diet and exercise change, even though the 3-D computer-animated versions of the doctor (i.e., animation, swapped, and bigeye) were perceived as eerier than the others (i.e., real and cartoon). The low-warmth, high-eeriness doctor prompted heuristic processing of information, while the high-warmth doctor prompted systematic processing. This pattern contradicts evidence reported in the persuasion literature. For the stereotype content model, a path analysis found that good bedside manner increased the doctor’s perceived warmth significantly, which indirectly increased physical activity. For the heuristic–systematic model, the doctor’s eeriness, measured in a pretest, had no significant effect on adherence intention and physical activity, while good bedside manner increased both significantly. Surprisingly, cognitive perspective-taking was a stronger predictor of change in physical activity than adherence intention. Although virtual characters can elicit the uncanny valley effect, their effect on adherence intention and physical activity was comparable to a video of a real person. This finding supports the development of virtual consultations.

Listing popularity on the peer-to-peer accommodation platform: the heuristic-systematic and uncertainty reduction perspectives

Purpose Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity. Design/methodology/approach The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation. Findings The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity. Research limitations/implications The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity. Practical implications The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes. Originality/value First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

How source-level and message-level factors influence journalists’ social media visibility during a public health crisis

Social media has become a channel through which journalists distribute their work, reach audiences and gain visibility. Informed by the frameworks of journalistic branding, the heuristic-systematic model, and hypertextual elements, the present study examines the extent to which the source factor (journalists’ branding on social media profiles) and message factors (communication styles and hypertextual elements) influence visibility (i.e. the popularity of the account and the number of favourites and retweets of the posts). We analysed the Twitter profiles of 98 health journalists from seven major media organizations in the US and conducted a manual content analysis of a representative sample of their public tweets (n = 3982) published during the Covid-19 pandemic. In contrast to expectations, branding contributed little to any indicators of visibility, and profiles with institutional branding had fewer followers. Both affective messages and rational messages received more likes and retweets than messages without these elements. Tweets containing images or news-related hyperlinks received more retweets, whereas the number of @mentions in a tweet was negatively related to visibility. Journalists from traditional media, those who tweeted more often, and those with more followers had higher levels of visibility.

Towards a Sustainable News Business: Understanding Readers’ Perceptions of Algorithm-Generated News Based on Cultural Conditioning

The use of algorithms is beginning to replace human activities in the news business, and the presence of this technique will only continue to grow. The ways in which public news readers perceive the quality of news articles written by algorithms and how this perception differs based on cultural conditioning remain issues of debate. Informed by the heuristic-systematic model (HSM) and the similarity-attraction theory, we attempted to answer these questions by conducting a three-way one-way analysis of variance (ANOVA) test with a 2 (author: algorithm vs. human journalist) × 2 (media: traditional media vs. online media) × 2 (cultural background: the US vs. South Korea) between-subjects experiment (N = 360). Our findings revealed that participants perceived the quality of news articles written by algorithms to be higher than those written by human journalists. We also found that when news consumption occurs online, algorithm-generated news tends to be rated higher than human-written news in terms of quality perception. Further, we identified a three-way interaction effect of media types, authors, and cultural backgrounds on the quality perception of news articles. As, to the best of our knowledge, this study is the first to theoretically examine how news readers perceive algorithm-generated news from a cultural point of view, our research findings may hold important theoretical and practical implications.

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

PurposeThis paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approachBased on heuristic-systematic model (HSM), we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision. In line with this approach, we use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data crawled from Zhihu.com.FindingsThe number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision. The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitationsResearch is limited in that moderating effect of professional fields has not been considered in the framework.Practical implicationsConfigurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/valueThis paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.

Thought favorability: mediating role in fit and brand advocacy

PurposeThe purpose of this study is to investigate the effect of game-product fit on brand advocacy and mediating role of thought favorability in fit and brand advocacy relationship in the context of in-game advertising (IGA) using congruity theory and heuristic systematic model. This expounds the conditions under which in-game brand placements form favorable or unfavorable thoughts about the game and the advertised brand, and following brand advocacy.Design/methodology/approachA total of 144 student-gamers participated in the study. One-way ANOVA and a path analysis were used for hypotheses testing.FindingsResults showed that the high-fit game resulted in higher thought favorability and greater levels of brand advocacy than the low-fit game. Furthermore, results also revealed that thought favorability mediated the relationship of game-product fit and brand advocacy among players.Research limitations/implicationsResearch on IGA is still in its relative infancy, and how gamers respond to brand placements in games has yet to be fully established. This paper’s theoretical implications are primarily in the context of in-game advertising and explain the role played by game-product fit as an originator to thought favorability that further adds value to thought favorability and brand advocacy relationship.Practical implicationsThe study offers important implications for marketers, advertisers, policy-makers in terms of effective game-designing and IGA execution.OriginalitySince very little research has been done focusing on mediating role of thought favorability in game-product fit and brand advocacy relationship in the context of IGA from attention and elaboration perspectives, this paper scores as a pioneering study of its kind in India.