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Social media stage online patterns of social interaction that differ remarkably from ordinary forms of acting, talking and relating. To unravel these differences, we review the literature on micro-sociology and social psychology and derive a shorthand version of socially-embedded forms of interaction. We use that version as a yardstick for reconstructing and assessing the patterns of sociality social media promote. Our analysis shows that social media platforms stage highly stylized forms of social interaction such as liking, following, tagging, etc. that essentially serve the purpose of generating a calculable and machine-readable data footprint out of user platform participation. This online stylization of social interaction and the data it procures are, however, only the first steps of what we call the infrastructuring of social media. Social media use the data footprint that results from the stylization of social interaction to derive larger (and commercially relevant) social entities such as audiences, networks and groups that are constantly fed back to individuals and groups of users as personalized recommendations of one form or another. Social media infrastructure sociality as they provide the backstage operations and technological facilities out of which new habits and modes of social relatedness emerge and diffuse across the social fabric.

In this keynote address, I use Georg Simmel’s sociology of social forms approach to amend Erving Goffman’s interaction order perspective into a contemporary analytical framework for empirical analysis of everyday life in our twenty-first century mediated social order. For Goffman, the interaction order provides a foundational basis for social order. As a cornerstone of the human condition, Goffman maintained that most of us spend our daily lives in the direct presence of others. However, rapid advancements in interactive media formats in the last few decades have given rise to an unprecedented twenty-first century interaction order. Many of us now also spend our everyday lives in the mediated presence of others, the effects of which parallel those of face-to-face interaction in importance. These changes, I contend, provide a necessary occasion to reimagine Goffman’s interaction order. In what follows, I first provide a brief synopsis of Goffman’s interaction order. Next, I outline the twenty-first century interaction order and illustrate the importance of Simmel’s formal sociology in amending Goffman’s original framework in relation to this unforeseen order. Finally, to highlight a few key points – I incorporate empirical examples from my work as it relates to police legitimacy. I conclude with some suggestions for future research and note a few limitations.

Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant products on social media.

In this research, three studies were conducted to explore the effects of FOMO in different real-life situations. Study 1 was conducted in a laboratory setting in China. Study 2 includes two experiments, one that was conducted in China and one in the USA. Study 3 was conducted in a workplace setting in China.

The results of Study 1 indicate that when consumers experience FOMO, they prefer to post about identity-relevant (vs functional) products to a greater extent than usual. Study 2 examines the role of self-esteem and identifies self-presentation and the avoidance of social attention as underlying mechanisms. Thus, consumers with high (or low) self-esteem tend to be more motivated to present themselves positively (or to avoid social attention) when experiencing FOMO. Furthermore, Study 3 reveals the moderating role of supportive interactions; that is, the interaction between FOMO and consumer self-esteem is most likely to exert an effect when consumers receive many supportive interactions.

This research demonstrates that posting identity-relevant content on social media is a coping strategy that individuals may adopt when experiencing FOMO. Moreover, self-esteem can predict how individuals cope with FOMO by identifying self-presentation and avoidance of social attention as the mechanisms underlying effects. Although this research attempts to avoid interference from other factors between in the relationship FOMO and the control conditions, it seems possible that more socially relevant information may be presented in the FOMO condition.

Because FOMO can be manipulated and posting types can be predicted, this research provides important implications for brands on how to create or post content to better engage consumers.

This research supports the role of FOMO as a driver of on consumer posting preferences on social media.

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).

Social media has significantly impacted the value creation processes within the consumer–brand relationship. This study aims to examine value formation processes within a cosmetics social media brand community and to establish the types of value formation associated with different categories of interactions within a social media brand community.

The research adopted a netnographic approach and followed the operational protocols of netnography. Conversations in one large cosmetics social media brand community were observed and downloaded for analysis over a two-month period. Examples of value-creation and formation processes were identified using netnographic interpretative procedures to develop higher-order themes.

The findings supported the creation of a “Consumer and brand value creation and co-creation framework” highlighting disparate value types within the following interactions: consumer-to-consumer; brand-to-consumer; and consumer-to-brand. The identified value types were specific to the actors (i.e. consumers and brands) involved in value formation processes. The analysis also revealed consumers’ ability to independently generate value through direct interaction with a social media brand community and the brands’ role in supporting consumers in value formation through value facilitation.

The pivotal role of disparate actors’ interactions in value formation processes is highlighted, alongside the autonomous ability to form value with the aid of resources stored and shared within the social media brand community. The network of interactions and value-creation processes contribute to a holistic understanding of the interactions in a social media brand community. Furthermore, the research explores and highlights the emerging role of social media brand communities as “value vestiges”.

Research in sport has examined the use of social media by organizations and athletes, but little research has assessed the effectiveness of social media marketing, especially in terms of relationship-building. When relationship marketing is used as a framework for using social media, it should also be used to guide assessment. The purpose of this paper is to re-examine a model for measuring the impact of fans’ Facebook interactions with their favorite sport team on relationship quality, purchase intentions and referral intentions.

After conducting a survey of professional sport fans through Amazon Mechanical Turk, data were analyzed using structural equation modeling. The total sample size was 425.

Results indicated the more a fan interacts with their favorite team on Facebook, the higher their relationship quality and intentions to purchase. There was no significant effect on referral intentions. Additionally, the indirect effect of Facebook interaction on purchase intention as mediated by relationship quality was positive and significant.

Based on results, it appears that relationship marketing can be used as a framework for assessing social media marketing effectiveness in sport, and that as suggested by relationship marketing theory, social media interaction does improve relationships between fans and teams. Researchers should continue to explore this model and include other variables, such as team identification, to gain a thorough understanding of social media marketing effectiveness.

Sport marketers should focus strategy on Facebook on building relationships through content that encourages interactions between the team and fans.

While research in sport has suggested social media be used to build relationships, little research measuring whether it actually does so exists. This study extends social media research in sport by modeling and testing the relationships between social media interaction, relationship quality and consumer behavioral intentions.

The purposes of this paper are to (1) explore how personality traits pertaining to the dominance influence steadiness compliance model manifest themselves in terms of user interaction behavior on social media and (2) examine whether social interaction data on social media platforms can predict user personality.

Social interaction data was collected from 198 users of Sina Weibo, a popular social media platform in China. Their personality traits were also measured via questionnaire. Machine learning techniques were applied to predict the personality traits based on the social interaction data.

The results demonstrated that the proposed classifiers had high prediction accuracy, indicating that our approach is reliable and can be used with social interaction data on social media platforms to predict user personality. “Reposting,” “being reposted,” “commenting” and “being commented on” were found to be the key interaction features that reflected Weibo users' personalities, whereas “liking” was not found to be a key feature.

The findings of this study are expected to enrich personality prediction research based on social media data and to provide insights into the potential of employing social media data for the purpose of personality prediction in the context of the Weibo social media platform in China.

This paper aims to investigate how social media usage by children determines their interactions with consumer brands. The paper also examines the nature of the processes evident.

A qualitative approach was implemented using both paired and single in-depth interviews of New Zealand children (both boys and girls) in the age group of 11-14 years. The data were analysed by thematic analysis of the interview transcripts.

The study demonstrates that children use three main processes – discerning, reacting and forming – when interacting with brands on social media. Each of these processes has different levels of interaction episodes depending on the amount of social media activity by each child. Discerning has noticing, a lower level of interaction and identifying which uses already internalised brand knowledge. Reacting consists of describing and evaluation which involves more active interaction resulting in opinion formation. Forming can involve a distant “watching” interaction or a more active relating behaviour when children are using multiple social media platforms.

The study identifies three key modes of brand interaction behaviour when young consumers use social media, which each have two interactions. The implication for marketers, parents and policymakers is that there is a range of behaviours, both passive and active, that children show when interacting with consumer brands when using social media.

The current study offers a way to deepen the understanding of how children approach online communications with brands in the social media context. The research finds that the children’s use of social media is more active and dynamic than previously thought, giving rise to connections with brands that are meaningful to the children. Specific codes of practice for online brand marketers may be necessary so that children are helped to understand the commercial intent of brand practices on social media.

The findings shed light on the range of interaction behaviour of young consumers, and such information provides insights into how children acquire brand knowledge, react to social media communication and decide the value of such communication for themselves. Brand marketers have a role to play in ensuring their brand communications practices avoid deception and clearly indicate commercial intent.

Investigating how children individually process brand information in a social media context provides insights into their interaction behaviour. These findings show differing levels of interest in both brand and social media activity amongst children.

This paper aims to focus its inquiries on the parasocial interactions (PSI) and relationships (PSR) consumers form with personae in online social media communities. The authors extend the marketing literature on parasocial interaction/relationship beyond brands by focusing on personal social media accounts (public student-athletes).

The authors adopt a grounded theory methodology (Glaser and Strauss, 2009) triangulating observational netnographic data (Kozinets, 2010) of 49 public student-athlete accounts on Twitter (34,500 tweets) with in-depth interviews. The findings emphasize that PSI/PSR occur not only from interactions with brands but also through personal accounts on social media platforms.

The investigation reveals that through such social media platforms, PSI/PSR influence consumers cognitively, affectively and behaviorally. In terms of cognition, the data suggest that PSI/PSR can influence opinion, interests, attention allocation and construction of relations, specifically through the availability of in-depth knowledge about the social media persona. Additionally, the research findings indicate that affect-laden messages from persona can alter emotion and mood, induce empathetic reactions and trigger inspiration, especially in relation to the shared interest of the online community of the social media account. Behaviorally, the findings suggest that personas’ messages can direct and inspire both online and offline actions through endorsed behavioral parasocial interactions.

This research focused on one specific social media platform, Twitter. Twitter was specifically chosen, because it is a popular social media platform and allows non-reciprocal relationships. Although the authors feel that the findings would hold for other social media platforms, future research may be conducted to see if there are differences in PSI/PSR development on different types of networks. Additionally, the authors focused on a specific type of personal account, student-athletes. Future research may wish to extend beyond this population to other personal social media accounts, such as fashion bloggers, diy bloggers and others.

This research reveals that PSI/PSR can occur not only from interactions with brands but also through personal accounts on social media platforms. The findings give support for the value of brand spokespersons and brand ambassadors and suggest that brands should take careful consideration into who is chosen to represent the brand.

Online social media are dramatically changing the ways in which firms and their consumers interact. The purpose of this paper is to analyze the role of social media platforms such as Facebook and Twitter among younger consumers (“digital natives”) in their interactions with brands. To investigate this, the authors conduct a mixed-method study including latent class analysis (LCA) to examine the role of social media among younger consumers (referred to as “digital natives”) in their interactions with brands.

A mixed-method approach including both qualitative analysis and LCA was used to analyze daily interactions between consumers and specific brands across two primary social media platforms (Facebook and Twitter). Data were collected by means of a social media platforms (Facebook and Twitter). Data were collected by means of a social media diary collected over a one-week period.

The findings from this study suggest that brand-consumer interactions driven by social media can be characterized by five primary motivations or themes: entertainment, brand engagement (specifically identification with or connection to the brand), timeliness of information and service responses, product information, and incentives and promotions. The authors also identify relationships among these themes related to respondents' age, gender, and social media use.

Although social media have become a widespread form of communication and interaction between brands and consumers, research regarding the nature of social media-driven brand-consumer interactions is only now developing. Drawing on the perspectives of consumer online engagement and uses and gratifications theory, the results from this study are important to guiding future brand-customer interaction research. These findings help extend previous research by identifying consumer motivations that underlie social media usage in brand engagement.

These results highlight the role of social media in helping brands to be proactive in their consumer communications and interactions, in areas such as communicating product information, addressing customer service issues, engaging consumers with content relevant to the brand, providing timely information regarding promotions and new product launches, and fostering consumer-generated comments. Managers should also recognize that younger digital natives interact with brands via social media differently (e.g. for pure entertainment) than older individuals.

This study provides new insights to the nature of brand-consumer interactions, engagement, and outcomes driven by social media.