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This study aims to explore the connection between travel content consumption in social networks and social comparison, envy as well as travel intention. It analyzes whether tourists’ travel intention is affected by travel content consumption in social networks, and more importantly, whether social comparison and envy play a mediating role in this process.

Data was collected through intercept in four popular tourist spots in Guangzhou and Zhuhai in South China. A self-administered questionnaire was used. A total of 400 participants were recruited, and 291 valid questionnaires were obtained. Bias-corrected nonparametric percentile bootstrap mediation variable test method was used to test hypotheses.

The study yielded three results. First, travel content consumption in the social networks positively influences travel intention. Second, travel content consumption in social networks indirectly affects travel intention through social comparison and envy. Third, the control variables, such as gender, age, education and income, mainly affect envy.

This study constructs a theoretical framework of stimulus–cognitive appraisal–emotion–behavioral responses. To the best of the authors’ knowledge, it is the first study to reveal that the internal psychological mechanism of travel content consumption affects travel intention. It also discloses that envy of seemingly negative emotions can encourage positive behaviors in certain situations.

This study aims to focus on the content published by social media influencers – i.e. YouTubers – on their YouTube channels. The main purpose of this research is to analyse whether anti-consumption-framed content (anti-hauls) generates more views, more dislikes (and less dislikes) and more comments, as customer engagement components, than pro-consumption-framed content (hauls).

Based on 160 videos published on YouTube by 80 influencers on their respective channels, this study mainly analyses whether there are differences between anti-consumption and pro-consumption content in the various elements that constitute customer engagement (i.e. number of views, likes, dislikes and comments).

Results indicate that there are differences between anti-consumption and pro-consumption content in terms of total number of views, likes, dislikes and comments. All these customer engagement components are higher for anti-consumption-framed videos, which offers interesting implications for both theory and practice.

This study extends previous literature by accounting content published by social media influencers on their social media accounts, instead of analysing the most traditionally studied content that is published by brands on their own social media; and classifying this content as anti/pro-consumption rather than using the traditional dichotomy between transactional/emotional content. Brands should pay special attention to the content generated by social media influencers because it is a powerful form of electronic word-of-mouth that currently plays a significant role in customers’ (non)purchase decisions.

Recently, Jang and Byon (2020) found that esports recreational gameplay consumption is causally linked to esports online media consumption. In the context of esports, live-streaming content (by individual creators) is a new type of media consumption, which should be distinguished from esports event broadcast. Extending Jang and Byon’s finding, the purpose of this study is to examine the mediating effect of esports content live streaming in the relationship between esports recreational gameplay and esports event broadcast because it allows the games to be more accessible to viewers due to two-way communication. In order to test for stability of the mediating effect of esports live content streaming, we examined the hypothesized model across the three genres (i.e. imagination [n = 224], physical enactment [n = 195], sport simulation [n = 179]).

Data (N = 598) were collected via an online survey from individuals who had experienced esports recreational gameplay. A total of 15 items with five dimensions (i.e. esports recreational gameplay, esports content live streaming, esports event broadcast, streamer identification, and pro-player identification) were adapted from existing studies. The two identification constructs and gender were used as control variables.

The model fit of the measurement model was found to be acceptable via CFA. The results of SEM indicated that the intention of esports content live streaming consumption played a full mediation role in the relationship between esports recreational gameplay behavior and the intention of esports event broadcast consumption. Additionally, we found the mediating effect of esports content live streaming across the three genres.

This study contributes to literature related to the esports consumer behavior by conceptualizing esports content live streaming and found that esports content live streaming represents a mechanism that underlies the relationship between esports recreational gameplay intention and esports event broadcast consumption.

The purpose of this paper is to explore the interrelationship between television (TV) consumption (viewing ratings), engagement behaviors of different actors on Twitter (TV programs, media, celebrities and viewers) and the content of engagement behaviors (affective, program-related and social content).

TV ratings and Twitter data were obtained. The content of tweets was analyzed by means of a sentiment analysis. A vector auto regression model was used to understand the interrelationship between tweets of different actors and TV consumption.

First, the results showed a negative interrelationship between TV viewing and viewers’ tweeting behavior. Second, tweets by celebrities and media exhibited similar patterns and were both affected mostly by the number of tweets by viewers. Finally, the content of tweets matters. Affective tweets positively relate to TV viewing, and program-related and social content positively relates to the number of tweets by viewers.

The findings help us understand the online engagement ecosystem and provide insights into drivers of TV consumption and online engagement of different actors.

The results indicate that content producers may want to focus on stimulating affective conversations on Twitter to trigger more online and offline engagement. The results also call for rethinking the meaning of TV metrics.

While some studies have explored viewer interactions on Twitter, only a few studies have looked at the effects of such interactions on variables outside of social media, such as TV consumption. Moreover, the authors study the interrelations between Twitter interactions with TV consumption, which allows us to examine the effect of online engagement on offline behaviors and vice versa. Finally, the authors take different actors into account when studying real-life online engagement.

This paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.

The authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.

The findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.

The paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.

This study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.

An increasing number of brands are using algorithms to embed brand-related content to targeted consumers’ social media pages. This paper aims to analyze how do consumers’ motives of using social media in general influence their potential brand–consumer interactions and the following branding outcomes. To examine this, this study selected Facebook as the social media platform and Nike as the brand to conduct an online survey experiment to examine the effects of social media usage motives on consumers’ interactions with the brand in social media.

An online survey experiment using Nike’s Facebook page as the stimuli was conducted to analyze the interactions between consumers and a specific brand’s social media page in a natural setting. Data were collected in the USA via Amazon’s Mechanical Turk (MTurk).

This study demonstrated that brand–consumer interactions, both content-consumption and content-contribution intentions, can be fostered by certain motives of using social media: information-seeking and self-identity. This study also suggested that content-consumption behavior has significant associations with consumers’ positive attitudes toward the brand’s social media pages, while content-contribution behavior does not show significant effects.

This study provides new insights about how consumers’ general motives of social media usage influence their intentions to interact with the brand in social media from two levels (i.e. content-consumption and content-contribution).

Consumers’ engagement with brands online is increasingly important for marketers for both promotion of their brand’s message and sales. The purpose of this paper is to examine if consumers’ brand schematicity, a generalized consumer disposition to process information using brand schema, influenced their proclivity to engage with brands online through consuming and co-creating brand-related content, and the influence of online brand engagement on actual purchase of brands.

Two experiments were conducted to test the hypotheses.

Study 1 shows that brand schematicity increases online brand consumption and online brand co-creation and Study 2 shows that this online brand engagement is not always beneficial to brands in terms of sales. Specifically, because of resource depletion, consumers who co-create brand content online may purchase brands less while those that consume online brand content purchase more brands.

There is a lack of previous research addressing individual differences in consumers’ online brand engagement that this paper investigates. Further, a generalized, dispositional variable such as brand schematicity has not been hitherto investigated in the context of consumers’ online behavior. Finally, this paper shows counter-intuitive effects of online brand engagement on brand purchase.

The purpose of this paper is to present an affect-based perspective to explain levels of social media engagement.

This study uses face-to-face long interviews and online observation of the Facebook profiles of respondents over an eight-month period.

Social media engagement varies depending on a user’s current and desired affective state. When individuals are in a low to moderately aroused negative affective state (such as feeling bored or upset), individuals tend to spend time passively consuming content: the lowest level of engagement. In a low to moderately aroused positive mood state (such as happiness), users both passively consume and actively participate with relevant content by liking and commenting on existing content. When users are in a highly aroused positive affective state, the propensity to create original content is greater, reflecting the highest level of engagement. When users are in a highly aroused negative affective state (such as being angry at a brand), users are motivated to vent on social media to manage the mood. Conversely, when users are in a highly aroused negative affective state related to personal trauma, the avoidance of engagement on social media is evident.

Brands can increase the likelihood of consumers creating positive consumer–brand stories offline and online by priming consumer affect.

This study explores how a desired affective state motivates varying levels of user engagement with different types of content on social media.

Digital media platforms in Uganda experimented with subscription-based models as an alternative to the traditional advertising model and as a recovery plan from the effects of COVID-19. Drawing from the theory of the political economy of the media, this study focusses on the critical success factors for subscription-based models in digital media platforms, audience consumption habits vis-á-vis payment for content, the effect of paywalls on the company financials and finally, establish the barriers to subscription uptake in Uganda. Media started charging users subscription fees for content in the 1990s (Chyi, 2005). Technological advances changed audience consumption habits from consuming hardcopy newspapers to accessing content on the go through their smartphones, tablets, and computers (Berger, Matt, Steininger, & Hess, 2015). Whilst some consumers pay for content, several audience surveys in East Africa indicated a lack of consistency among the paying audiences (KARF, 2019). Most consumers never purchased subscription and were avert to paywalls. The study used a mixed-method approach to find that the increase in internet penetration in Uganda and smartphone usage were the most significant enablers of paid-content consumption in Uganda. The quality of content, poor packaging, and unfair prices by publishers were the biggest barriers to consumption of paid news content.

Digital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization. This study aims to explore how interactional dynamics between (non)human market actors co-codify markets through expressive and networked content across social media platforms.

This study applies digital methods as cross-platform analysis to analyze two data sets retrieved from YouTube and Instagram using the keywords “sustainable fashion” and #sustainablefashion, respectively.

The study shows how interactional dynamics between (non)human market actors, co-codify markets across two social media platforms, i.e. YouTube and Instagram. The authors introduce the notion of sticky market webs of connection, illustrating how these dynamics foster cross-platform market codification through relations of exteriority.

Research implications highlight the necessity to account for all involved entities, including digital infrastructure in digital markets and the methodological potential of cross-platform analyses.

Practical implications highlight considerations managers should take into account when designing market communication for digital markets composed of (non)human market actors.

Social implications highlight the possible effects of (non)human market co-codification on markets and consumer culture, and corresponding countermeasures.

This study contributes to an increased understanding of digital market dynamics by illuminating interdependent market co-codification dynamics between (non)human market actors, and how these dynamics (de)territorialize digital market assemblages through relations of exteriority across platforms.