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Influencer marketing has become big business. But while influencers have the potential to spread marketing messages and drive purchase, some posts get lots of engagement and boost sales, while others do not. What makes some posts more impactful? This work examines how sensory language (e.g., words like “crumble” and “juicy” that engage the senses) shapes consumer responses to influencer-sponsored content. A multimethod investigation, combining controlled experiments with automated text, image, and video analysis of thousands of sponsored social media posts, demonstrates that sensory language increases engagement and willingness to buy the sponsored product. Furthermore, the studies illustrate that these effects are driven by perceived authenticity. Sensory language leads consumers to infer that influencers actually use the product they are endorsing, which increases perceived authenticity, and thus engagement and purchase. These findings shed light on how language shapes responses to influencer-sponsored content, deepen understanding of the drivers of authenticity, and suggest how to develop more impactful social media campaigns.

Over the last 50+ years, there has been a huge rise in interest in consumer language research. This manuscript spotlights the emergence and evolution of this area, identifying key themes and trends, and highlighting topics for future research. Work has evolved from exploration of broad language concepts (e.g., rhetorics) to specific linguistic features (e.g., phonemes) and from monologues (e.g., advertiser to consumer) to two-way dialogues (e.g., consumer to service representative and back). We discuss future opportunities that arise from past trends, and suggest two important shifts that prompt questions for future research: the new shift towards using voice (vs. hands) when interacting with objects, and the ongoing shift towards using hands (vs. voices) to communicate with people. By synthesizing the past, and delineating a research agenda for the future, we hope to encourage more researchers to begin to explore this burgeoning area.

Consumers often communicate their attitudes and opinions with others, and such word of mouth has an important impact on what others think, buy, and do. But might the way consumers communicate their attitudes (i.e., through speaking or writing) shape the attitudes they express? And, as a result, the impact of what they share? While a great deal of research has begun to examine drivers of word of mouth, there has been less attention to how communication modality might shape sharing. Six studies, conducted in the laboratory and field, demonstrate that compared to speaking, writing leads consumers to express less emotional attitudes. The effect is driven by deliberation. Writing offers more time to deliberate about what to say, which reduces emotionality. The studies also demonstrate a downstream consequence of this effect: by shaping the attitudes expressed, the modality consumers communicate through can influence the impact of their communication. This work sheds light on word of mouth, effects of communication modality, and the role of language in communication.

When sharing information and opinions about products, services, and experiences, communicators often use either past or present tense (e.g., “That restaurant was great” or “That restaurant is great”). Might such differences in verb tense shape communication’s impact, and if so, how? A multimethod investigation, including eight studies conducted in the field and lab, demonstrates that using present (vs. past) tense can increase persuasion. Natural language processing of over 500,000 online reviews in multiple product and service domains, for example, illustrates that reviews that use more present tense are seen as more helpful and useful. Follow-up experiments demonstrate that shifting from past to present tense increases persuasion and illustrate the underlying process through both mediation and moderation. When communicators use present (rather than past) tense to express their opinions and experiences, it suggests that they are more certain about what they are saying, which increases persuasion. These findings shed light on how language impacts consumer behavior, highlight how a subtle, yet central linguistic feature shapes communication, and have clear implications for persuasion across a range of situations.

Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. Climate change, poverty, obesity, discrimination and bias, and the Covid-19 pandemic have demonstrated that marketing (and businesses) cannot operate in isolation from the broader community. We seek to provide a framework for authors and reviewers to enhance the rigor and relevance of research in marketing that not only contributes new knowledge to science, but also makes a positive difference in the world. In doing so, we hope to encourage further consideration of the role of marketing scholarship in providing a novel lens into potential solutions for societal concerns.

Although an overabundance of possessions—called “clutter”—is both pervasive and maladaptive, understanding how possessions can accumulate remains understudied. In the present research, we s...

Some cultural products (e.g., books and movies) catch on and become popular, while others fail. Why? While some have argued that success is unpredictable, we suggest that period-to-period shifts in sentiment—what we term sentiment volatility—enhance engagement. Automated sentiment analysis of over 4,000 movies demonstrates that more volatile movies are evaluated more positively. Consistent with the notion that sentiment volatility makes experiences more stimulating, the effect is stronger in genres where evaluations are more likely to be driven stimulation (i.e., thrillers rather than romance). Further, analysis of over 30,000 online articles demonstrate that people are more likely to continue reading more volatile articles. By manipulating sentiment volatility in follow-up experiments, we underscore its causal impact on evaluations, and provide evidence for the role of stimulation in these effects. Taken together, the results shed light on what drives engagement, the time dynamics of sentiment, and cultural analytics or why some cultural items are more successful.

Communicators often hedge. Salespeople say that a product is probably the best, recommendation engines suggest movies they think you’ll like, and consumers say restaurants might have good service. But how does hedging impact persuasion? We suggest that different types of hedges may have different effects. Six studies support our theorizing, demonstrating that (1) the probabilistic likelihood hedges suggest and (2) whether they take a personal (vs. general) perspective both play an important role in driving persuasion. Further, the studies demonstrate that both effects are driven by a common mechanism: perceived confidence. Using hedges associated with higher likelihood, or that involve personal perspective, increases persuasion because they suggest communicators are more confident about what they are saying. This work contributes to the burgeoning literature on language in marketing, showcases how subtle linguistic features impact perceived confidence, and has clear implications for anyone trying to be more persuasive.

Why are some narratives more successful? Although this question has ancient roots, studying it empirically has been challenging. We suggest that semantic progression (i.e., semantic similarity between adjoining portions of a narrative) might shape audience responses but that this role changes over the course of a narrative. Specifically, although slower semantic progression (i.e., greater semantic similarity between adjoining portions) is beneficial at the beginning of narratives, faster semantic progression is beneficial toward the end. To test this possibility, we used natural language processing and machine learning to analyze over 40,000 movie scripts. Consistent with our theorizing, deep-learning-based embeddings find that movies with slower semantic progression early and faster semantic progression later are evaluated more positively. Analysis of over 10,000 TV episodes finds similar results. Overall, these findings shed light on what makes narratives engaging, deepen understanding of what drives cultural success, and underscore the value of emerging computational approaches to understand human behavior. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Why do some advertisements get shared more than others? Using scalable automated facial coding algorithms, the authors quantified the facial expressions of thousands of individuals in response to hundreds of video advertisements. Results suggest that not all emotions increase sharing and that the relationship between emotion and transmission is more complex than mere valence alone. Facial actions linked to positive emotions, (e.g., smiles) were associated with increased sharing. Although some actions associated with negative emotion (e.g., lip depressor associated with sadness) were linked to decreased sharing, others (e.g., nose wrinkles) associated with disgust were linked to increased sharing.

Consumers are often frustrated by customer service. But could a simple shift in language help improve customer satisfaction? We suggest that linguistic concreteness—the tangibility, specificity, or imaginability of words employees use when speaking to customers—can shape consumer attitudes and behaviors. Five studies, including text analysis of over 1,000 real consumer–employee interactions in two different field contexts, demonstrate that customers are more satisfied, willing to purchase, and purchase more when employees speak to them concretely. This occurs because customers infer that employees who use more concrete language are listening (i.e., attending to and understanding their needs). These findings deepen understanding of how language shapes consumer behavior, reveal a psychological mechanism by which concreteness impacts person perception, and provide a straightforward way that managers could help enhance customer satisfaction.

Prior approaches that leverage identity to motivate prosocial behavior are often limited to the set of people who already strongly identify with an organization (e.g., prior donors) or by the costs and challenges associated with developing stronger organization-linked identities among a broader audience (e.g., encouraging more people to care). In contrast, this research demonstrates that small prosocial gifts, such as tips or small donations, can be encouraged by framing the act of giving as an opportunity to express identity-relevant preferences—even if such preferences are not explicitly related to prosociality or the organization in need. Rather than simply asking people to give, the “dueling preferences” approach investigated in this research frames the act of giving as a choice between two options (e.g., cats vs. dogs, chocolate vs. vanilla ice cream). Dueling preferences increases prosocial giving by providing potential givers with a greater opportunity for self-expression—an intrinsically desirable opportunity. Seven experiments conducted in the laboratory, online, and in the field support this theorized process while casting doubt on relevant alternatives. This research contributes to work on self-expression and identity and sheds light on how organizations can encourage prosocial behavior.

Research has examined persuasive language, but relatively little is known about how persuasive people are when they attempt to persuade through paralanguage, or acoustic properties of speech (e.g., pitch and volume). People often detect and react against what communicators say, but might they be persuaded by speakers' attempts to modulate how they say it? Four experiments support this possibility, demonstrating that communicators engaging in paralinguistic persuasion attempts (i.e., modulating their voice to persuade) naturally use paralinguistic cues that influence perceivers' attitudes and choice. Rather than being effective because they go undetected, however, the results suggest a subtler possibility. Even when they are detected, paralinguistic attempts succeed because they make communicators seem more confident without undermining their perceived sincerity. Consequently, speakers' confident vocal demeanor persuades others by serving as a signal that they more strongly endorse the stance they take in their message. Further, we find that paralinguistic approaches to persuasion can be uniquely effective even when linguistic ones are not. A cross-study exploratory analysis and replication experiment reveal that communicators tend to speak louder and vary their volume during paralinguistic persuasion attempts, both of which signal confidence and, in turn, facilitate persuasion. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Why do some cultural items succeed and others fail? Some scholars have argued that one function of the narrative arts is to facilitate feelings of social connection. If this is true, cultural items that activate personal connections should be more successful. The present research tested this possibility in the context of second-person pronouns. We argue that rather than directly addressing the audience, communicating norms, or encouraging perspective taking, second-person pronouns can encourage audiences to think of someone in their own lives. Textual analysis of songs ranked in the Billboard charts ( N = 4,200), as well as controlled experiments (total N = 2,921), support this possibility, demonstrating that cultural items that use more second-person pronouns are liked and purchased more. These findings demonstrate a novel way in which second-person pronouns make meaning, how pronouns’ situated use (object case vs. subject case) may shape this meaning, and how psychological factors shape the success of narrative arts.

Communication is an integral part of everyday life. Consumers chat with friends, for example, search for information, and complain to customer service. Salespeople pitch products, market researchers ask questions, and employees answer them. But communication doesn’t occur in a vacuum. Consumers communicate through modalities (e.g., speaking or writing), channels (e.g., text, phone call, or email), and devices (e.g., smartphone or computer). While these mediums often seem incidental, might they impact communication, and if so, how? This paper offers a comprehensive framework for understanding how these mediums shape the message. Specifically, we argue that modality, devices, and channels all shape communication through the same two key drivers: deliberation and audience salience. This work sheds light on the psychology of content production, provides insight into the drivers and consequences of communication, and highlights how emerging technologies may shape communication in the future.

From advertisers and marketers to salespeople and leaders, everyone wants to hold attention. They want to make ads, pitches, presentations, and content that captivates audiences and keeps them engaged. But not all content has that effect. What makes some content more engaging? A multimethod investigation combines controlled experiments with natural language processing of 600,000 reading sessions from over 35,000 pieces of content to examine what types of language hold attention and why. Results demonstrate that linguistic features associated with processing ease (e.g., concrete or familiar words) and emotion both play an important role. Rather than simply being driven by valence, though, the effects of emotional language are driven by the degree to which different discrete emotions evoke arousal and uncertainty. Consistent with this idea, anxious, exciting, and hopeful language holds attention while sad language discourages it. Experimental evidence underscores emotional language's causal impact and demonstrates the mediating role of uncertainty and arousal. The findings shed light on what holds attention; illustrate how content creators can generate more impactful content; and, as shown in a stylized simulation, have important societal implications for content recommendation algorithms.

Language can provide important insights into people, and culture more generally. Further, the digitization of information has made more and more textual data available. But by itself, all that data are just that: data. Realizing its potential requires turning that data into insight. We suggest that automated text analysis can help. Recent advances have provided novel and increasingly accessible ways to extract insight from text. While some psychologists may be familiar with dictionary methods, fewer may be aware of approaches like topic modeling, word embeddings, and more advanced neural network language models. This article provides an overview of natural language processing and how it can be used to deepen understanding of people and culture. We outline the dual role of language (i.e., reflecting things about producers and impacting audiences), review some useful text analysis methods, and discuss how these approaches can help unlock a range of interesting questions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Trickle-down theories suggest that status symbols and fashion trends originate from the elites and move downward, but some high-end restaurants serve lowbrow food (e.g., potato chips, macaroni and cheese), and some high-status individuals wear downscale clothing (e.g., ripped jeans, duct-taped shoes). Why would high-status actors adopt items traditionally associated with low-status groups? Using a signaling perspective to explain this phenomenon, the authors suggest that elites sometimes adopt items associated with low-status groups as a costly signal to distinguish themselves from middle-status individuals. As a result, signals sometimes trickle round, moving directly from the lower to the upper class, before diffusing to the middle class. Furthermore, consistent with a signaling perspective, the presence of multiple signaling dimensions facilitates this effect, enabling the highs to mix and match high and low signals and differentiate themselves. These findings deepen the understanding of signaling dynamics, support a trickle-round theory of fashion, and shed light on alternative status symbols.

Words are part of almost every marketplace interaction. Online reviews, customer service calls, press releases, marketing communications, and other interactions create a wealth of textual data. But how can marketers best use such data? This article provides an overview of automated textual analysis and details how it can be used to generate marketing insights. The authors discuss how text reflects qualities of the text producer (and the context in which the text was produced) and impacts the audience or text recipient. Next, they discuss how text can be a powerful tool both for prediction and for understanding (i.e., insights). Then, the authors overview methodologies and metrics used in text analysis, providing a set of guidelines and procedures. Finally, they further highlight some common metrics and challenges and discuss how researchers can address issues of internal and external validity. They conclude with a discussion of potential areas for future work. Along the way, the authors note how textual analysis can unite the tribes of marketing. While most marketing problems are interdisciplinary, the field is often fragmented. By involving skills and ideas from each of the subareas of marketing, text analysis has the potential to help unite the field with a common set of tools and approaches.

Word of mouth is both frequent and important. But might the way consumers communicate (i.e., speaking versus writing) shape the language they use? And, as a result, the impact of what they share? While a great deal of research has begun to examine the behavioral drivers of word of mouth, there has been less attention to how communication modality might shape what consumers share. Five studies demonstrate that compared to writing, speaking increases the emotionality of communication. Speaking often involves less time to deliberate about what to say, so consumers use more emotional language. This difference in language produced, in turn, can lead to greater persuasion. This work sheds light on drivers of word of mouth, effects of communication modality, and role of language in communication.

Why do some cultural items (e.g., songs, stereotypes, and ideas) catch on while others fail? While researchers have long been interested in cultural dynamics and cultural success, quantification has been challenging. It’s difficult to get data over time or to extract psychological features of cultural items that might contribute to their success. We suggest that natural language processing can help. The digitization of information has made more textual data available, and the emergence of new tools provide novel ways to extract behavioral insight from text. We discuss the dual role that language serves, review some useful approaches that psychologists may be less familiar with (e.g., topic modeling and embeddings), and describe how these approaches can help unlock a range of novel questions. By focusing on culture, we highlight a specific place natural language tools can be applied, while also illuminating how they can address a broader range of psychological science topics.

Variety-seeking is a fundamental aspect of choice. But given circadian rhythms in chronobiology, might variety-seeking vary by time of day? Four studies, including an empirical analysis of millions of purchases, demonstrate diurnal variation in variety-seeking. Variety-seeking is lower in the morning than other times of day. People pick less varied flavors of yogurt, for example, when choosing in the morning. Further, the results demonstrate the underlying role of circadian changes in physiological stimulation and arousal. The effect is mediated by a physiological measure of arousal (i.e., body temperature) and moderated by factors that shape physiological arousal (i.e., sunlight and individual differences in circadian preferences). These findings shed light on drivers of variety-seeking and the biological basis of consumer behavior more generally.

Online social networks have become extremely popular, but what drives sharing through these channels? We demonstrate that one of the most popular features of online social networks, microblogging (e.g., tweeting or sharing Facebook status updates), is driven in part by its undirected nature. Microblogging allows people to simultaneously express themselves to a large number of potential communication partners without having to address anyone in particular. As a result, this communication channel is particularly valued when people feel socially apprehensive; it allows them to reach out without having to impose communication and potentially bother anyone in particular. These findings shed light on one reason why people use online social networks and provide insight into the value of undirected communication.

Photos are a ubiquitous mode of social communication. Analysis of thousands of online profiles finds that people overwhelmingly post posed photos of themselves. But might candids actually lead observers to react more favorably? Five studies test this possibility. Compared to posed photos, candids made observers feel more connected to the poster, feel more interested in getting to know or date them, and like them more. This was driven by candids making people seem more genuine, which made others react more favorably. Furthermore, consistent with the hypothesized role of genuineness, the benefits of candids were diminished when observers learned that the poster realized their photo was being taken. These finding highlight the role of authenticity in person perception and a potential disconnect between photo posters and viewers. Although posters seem to post mostly posed photos, observers may prefer candids because they provide a more authentic sense of who the poster really is.

Advancements in mobile technologies mean that consumers can engage the digital world wherever they are and whenever they want. This intersection between the digital and the physical has important implications for consumer decision-making. We propose that mobile ecosystems vary in their capabilities and pervasivity (i.e., the degree to which a mobile ecosystem is accessible everywhere and at all times). Further, we propose that accounting for distinguishing aspects of mobile ecosystems, the context in which mobile ecosystems are used, and interactions between mobile ecosystems and mobile contexts are critical in advancing theoretical and substantive understanding of the role of mobile technologies in the marketplace. Based on this perspective, we identify important research topics as well as opportunities and challenges for modeling mobile consumer decision-making.

Word of mouth affects consumer behavior, but how does the language used in word of mouth shape that impact? Might certain types of consumers be more likely to use certain types of language, affecting whose words have more influence? Five studies, including textual analysis of more than 1,000 online reviews, demonstrate that compared to more implicit endorsements (e.g., “I liked it,” “I enjoyed it”), explicit endorsements (e.g., “I recommend it”) are more persuasive and increase purchase intent. This occurs because explicit endorsers are perceived to like the product more and have more expertise. Looking at the endorsement language consumers actually use, however, shows that while consumer knowledge does affect endorsement style, its effect actually works in the opposite direction. Because novices are less aware that others have heterogeneous product preferences, they are more likely to use explicit endorsements. Consequently, the endorsement styles novices and experts tend to use may lead to greater persuasion by novices. These findings highlight the important role that language, and endorsement styles in particular, plays in shaping the effects of word of mouth.

Self-control is an important driver of choice, but might it also change choice’s meaning, making it seem less indicative of preference? Decades of research suggest that preference and choice are often intertwined. Choice often originates from one’s preferences. As a result, choice is often seen as a reflection of preference, leading people to infer their preferences by observing their own choices. We suggest that self-control attenuates this process. Because self-control often overrides personal desires in favor of external constraints, norms, and long-term considerations, we propose that self-control is associated with a sense of attenuated correspondence between choice and individual preference. Five experiments suggest that when the notion of self-control is salient, people are less likely to see their choices as reflecting their preferences or to infer preference from previous choices. As a result, evoking the notion of self-control attenuates the tendency to view choice as indicative of preference, even in contexts unrelated to where self-control was originally evoked. Thus, self-control shapes not only choice itself, but also the perceived meaning of choice.

How does something’s temporal location—that is, whether it occurred in the past or will occur in the future—affect whether people talk about it? Seven studies demonstrate that two factors, affective arousal and self-presentation, interact to shape time’s impact on word of mouth. Future experiences are more affectively arousing than equivalent past ones. Whether this heightened arousal increases or decreases sharing, however, depends on how the topic potentially being discussed reflects on the sharer. For topics that reflect well on the sharer, arousal increases sharing such that people are more likely to talk if the event is happening in the future (vs. the past). When topics make the sharer look bad, however, this is no longer the case. These findings shed light on when people talk about and deepen understanding of the psychological drivers of word of mouth.

Temporal orientation refers to individual differences in the relative emphasis one places on the past, present, or future, and is related to academic, financial, and health outcomes. We propose and evaluate a method for automatically measuring temporal orientation through language expressed on social media. METHOD: Judges rated the temporal orientation of 4,302 social media messages. We trained a classifier based on these ratings, which could accurately predict the temporal orientation of new messages in a separate validation set (accuracy/mean sensitivity = .72; mean specificity = .77). We used the classifier to automatically classify 1.3 million messages written by 5,372 participants (50% female, aged 13-48). Finally, we tested whether individual differences in past, present, and future orientation differentially related to gender, age, Big Five personality, satisfaction with life, and depressive symptoms. RESULTS: Temporal orientations exhibit several expected correlations with age, gender, and Big Five personality. More future-oriented people were older, more likely to be female, more conscientious, less impulsive, less depressed, and more satisfied with life; present orientation showed the opposite pattern. CONCLUSION: Language-based assessments can complement and extend existing measures of temporal orientation, providing an alternative approach and additional insights into language and personality relationships.