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The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture. Drawing from linguistic theory and methods, this article presents an overview of automated text analysis, providing integration of linguistic theory with constructs commonly used in consumer research, guidance for choosing amongst methods, and advice for resolving sampling and statistical issues unique to text analysis. We argue that although automated text analysis cannot be used to study all phenomena, it is a useful tool for examining patterns in text that neither researchers nor consumers can detect unaided. Text analysis can be used to examine psychological and sociological constructs in consumer-produced digital text by enabling discovery or by providing ecological validity.

As consumers move through their decision journey, they adopt different goals (e.g., transactional vs. informational). In this research, the authors propose that consumer goals can be detected through textual analysis of online search queries and that both marketers and consumers can benefit when paid search results and advertisements match consumer search–related goals. In bridging construal level theory and textual analysis, the authors show that consumers at different stages of the decision journey tend to assume different levels of mental construal, or mindsets (i.e., abstract vs. concrete). They find evidence of a fluency-driven matching effect in online search such that when consumer mindsets are more abstract (more concrete), consumers generate textual search queries that use more abstract (more concrete) language. Furthermore, they are more likely to click on search engine results and ad content that matches their mindset, thereby experiencing more search satisfaction and perceiving greater goal progress. Six empirical studies, including a pilot study, a survey, three lab experiments, and a field experiment involving over 128,000 ad impressions provide support for this construal matching effect in online search.

Drawing from institutional theory in sociology, this article theorizes the process of \"megamarketing\"—defined by Kotler (1986) as the use of strategic efforts by a firm or firms to gain the cooperation of multiple stakeholders—to understand how new industries are created and sustained in a complex social and political context. The author uses an analysis of the casino gambling industry to demonstrate the role of normative and regulatory structures in facilitating the adoption and eventual acceptance of an industry through the social process of legitimation. In a quantitative and qualitative content analysis of 7211 newspaper articles from 1980 to 2007, the author finds that frames such as crime, business, and regulation change over time and that these frames are used by multiple stakeholders to structure normative conceptions about the practice of casino gambling. These findings contribute to a theoretical understanding of market creation and development over time and provide marketing managers with the conceptual tools for megamarketing in any industry.

How do changes in public discourse and regulatory structure affect the acceptance of a consumption practice? Previous research on legitimacy in consumer behavior has focused on the consumer reception of legitimizing discourse rather than on the historical process of legitimation itself. This study examines the influence of changes in the institutional environment over time on the meaning structures that influence consumer perception and practice. To study legitimation as a historical process, a discourse analysis of newspaper articles about casino gambling from 1980–2007 was conducted. Results show that the regulatory approval of gambling is accompanied by a shift in the semantic categories used to discuss casinos and that journalists play a role in shaping these categories. Further, journalists shape the meaning of a consumption practice in three ways: through selection, validation, and realization. Interpreted through the lens of institutional theory, these findings suggest that studies of legitimation should consider changes in public discourse and legal regulation in addition to consumer perceptions of legitimacy.

Depression is a debilitating condition that adversely affects many aspects of a person's life and general health. Earlier work has supported the idea that there may be a relationship between the use of certain media and depression. In this study, we tested if self-report of depression (SRD), which is not a clinically based diagnosis, was associated with increased internet, television, and social media usage by using data collected in the Media Behavior and Influence Study (MBIS) database (N = 19,776 subjects). We further assessed the relationship of demographic variables to this association. These analyses found that SRD rates were in the range of published rates of clinically diagnosed major depression. It found that those who tended to use more media also tended to be more depressed, and that segmentation of SRD subjects was weighted toward internet and television usage, which was not the case with non-SRD subjects, who were segmented along social media use. This study found that those who have suffered either economic or physical life setbacks are orders of magnitude more likely to be depressed, even without disproportionately high levels of media use. However, among those that have suffered major life setbacks, high media users-particularly television watchers-were even more likely to report experiencing depression, which suggests that these effects were not just due to individuals having more time for media consumption. These findings provide an example of how Big Data can be used for medical and mental health research, helping to elucidate issues not traditionally tested in the fields of psychiatry or experimental psychology.

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 howcan 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 howtext can be a powerful tool both for prediction and for understanding (i.e., insights).Then, the authorsoverview 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 howresearchers 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.

Research on market orientation finds that market-driven firms succeed by identifying and appealing to consumer needs. Yet many technologically innovative firms achieve remarkable success by taking a market-driving approach. The ways that firms drive markets without disruptive innovation, however, remain unclear. Adopting a market-systems perspective, the authors conduct an ethnographic analysis of producers, distributors, retailers, critics, and consumers in the U.S. wine market. They find that firms drive the market by playing a status game. Firms pursue a vision and advance that vision among influencers inside and outside the industry to gain recognition. Winners of the status game influence and drive social consensus by setting benchmarks and shaping consumer preferences to the firm's advantage. High status is difficult to imitate, creating an advantage that can endure for years or decades.

Although social embeddedness is an important and enduring aspect of markets, markets are also increasingly embedded in text—by which I mean alpha-numeric characters that stand in for phonetic spoken language. In this piece, I explore how text and textual thinking is an important precursor to certain forms of exchange behavior, mediates the market, and impedes or facilitates exchange. Looking at the affordances of text and textuality, I consider the ways that text orients the social practices critical to market exchange through its archival and public nature.

The purpose of this article is to understand how media frames affect consumer judgments of legitimacy. Because frames exist on the sociocultural and individual level, our research takes a multimethod approach to this question. On the sociocultural level, we conduct a content analysis of operant media frames for discussing online gambling and perform an event analysis, finding that a shift in consumer judgments follows an abrupt shift in frame. Then, on the individual level, the causal mechanism for these shifts is investigated in an experimental setting using the Implicit Association Test (IAT). These experiments show that framing affects normative legitimacy judgments by changing implicit associations. Further, users and nonusers respond differently to frame elements, with users favoring an established frame and nonusers favoring a novel, legitimating frame. This suggests that media frames play a critical role in establishing legitimacy at the sociocultural level and that framing potentially bridges cognitive and normative legitimacy.