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date: 19 June 2018

Social Media and Intergroup Communication

Summary and Keywords

Social media are increasingly ubiquitous communicative channels, used to create and maintain groups. Bearing several commonalities with computer-mediated communication more broadly, social media afford users opportunities to present both their social and personal identities, often concurrently, which can respectively activate intergroup and interpersonal communicative processes. Moreover, social media provide groups and their members some unique properties and opportunities for communication, which can both build and blur boundaries among groups. Thus, as individuals increasingly interact via services like Facebook, Twitter, Instagram, QQ, and other social media channels, it is important to consider the recursive relationships and effects among intergroup communication and the use of these tools: What about social media may affect the nature of group communication, and what about groups may affect how members use social media channels? Exploring the processes and effects of activated social identities, this chapter explores the potential for social media to both silo and span disparate groups, and for group communication within social media to spill over into other channels, including offline.

Keywords: Social media, intergroup communication, intergroup contact, social identity cues, Facebook, Instagram, Twitter

Introduction

Over the last thirty years, social media have exponentially risen to become nearly ubiquitous communicative channels. Individuals, organizations, and groups have gone beyond merely adopting these emergent means of computer-mediated communication (CMC), adapting their communication to fit the affordances, norms, and channels enabled by these diverse tools. Social media were initially explored from a primarily interpersonal perspective, understanding how individuals interacted and dyadic relationships were impacted by use of these platforms (Ellison, Steinfield, & Lampe, 2007; Parks & Floyd, 1996), but as groups increasingly use social media for their communication and organically emerge within social media channels, scholars are increasingly attending to the intergroup processes and communication occurring within Facebook, Twitter, Instagram, LinkedIn, and a bevy of other services. Social media afford environments wherein groups comprised of geographically distant members can come together asynchronously, wherein collocated groups can opportunistically utilize channel affordances to affect group behaviors, and wherein the level of personalization can be strategically manipulated to engage group (rather than interpersonal) communicative processes. Yet the complexity of group communication within social media is matched by the complexity of social media themselves. This chapter explores the nature of social media, and how unique affordances and processes of these burgeoning channels can enable intergroup (and intragroup) communication. In doing so, it explores group communication within social media, but also considers how social media may be used in tandem with offline interaction to foster group interaction.

Social Media

What is special about group communication within social media? An initial and substantive challenge in answering this question—and thus addressing group communication via social media—is conceptualizing what social media are, and concurrently what social media are not. Delineating and bounding social media are important precursors to identifying what is unique about communication in social media as compared to group communication via computer-mediated communication in general or as compared to fundamental group communication processes. Several competing definitions and conceptualizations have been offered, with varying specificity, applicability, and temporal-constraint (e.g., Effing, van Hillegersberg, & Huibers, 2011; Kaplan & Haenlein, 2010). Attempting to redress these limitations, Carr and Hayes (2015) defined social media as “Internet-based, disentrained, and persistent channels of masspersonal communication facilitating perceptions of interactions among users, deriving value primarily from user-generated content” (p. 49). This definition helps distinguish social media from other channels (e.g., media that can be used for social purposes) and identify several unique properties of social media relative to more general computer-mediated communication (CMC) tools. The subsections will identify some of these key distinctions and address their relevance to intergroup communication processes within social media.

Disentrained Channels

Channel entrainment refers to the synchronization of interactional partners’ interdependent communicative activities (Walther, 1996), so that disentrained channels are media that provide greater temporal resources to interactants, facilitating strategic self-presentation and reducing copresence. Whereas face-to-face and videoconferencing reflect synchronous (and thus more entrained) channels, e-mail and Facebook posts typically reflect asynchronous (and thus more disentrained) channels. These disentrained channels provide interactants greater temporal and cognitive resources to construct self-presentation and interpret others’ messages. Social media disconnect interactants from their messages to varying degrees, providing senders time to encode their own messages while decoding others’. This channel disentrainment fosters opportunities for groups and their members to more carefully construct and consider both their own selves and their interactions, but also presents some challenges to task-based group outcomes.

Disentrained channels have long been noted to affect intergroup communication, particularly through the obfuscation of senders and the strategic presentation of self that may occur. Perhaps the largest manifestation of this effect is the equalization hypothesis, in which the anonymity and obfuscation of status cues given off via disentrained channels can lead to the reduction of status differences and inequality within groups (Kiesler, Siegel, & McGuire, 1984). Several studies have supported the equalization hypothesis (Baltes, Dickson, Sherman, Bauer, & LaGanke, 2002; Bordia, 1997; Scott, 1999). Additional findings indicate that a lack or reduction of identifiability of group members can result in a more equal allocation of contributions among group members stemming from both social (Siegel, Dubrovsky, Kiesler, & McGuire, 1986) and group (Dubrovsky, Kiesler, & Sethna, 1991; Hollingshead, 1996) status differences. Moreover, this equalization phenomenon can reduce symptoms of groupthink-like conformity to group norms or within-group authority (Lee, 2005).

Though channel disentrainment may facilitate some social and participatory gains (Nowak, Watt, & Walther, 2005), disentrainment can also stymie functional and task-related gains of mediated group interactions. Findings of experimental studies using entrained face-to-face and disentrained CMC groups generally reveal that CMC groups report greater social attraction toward group members, satisfaction with intragroup communication, and group cohesion; however, the quality of group’s task-based decisions are typically lower (Walther, 1995; Walther & Bunz, 2005). Similar results have echoed this schism in effects, noting that while disentrained channels may lead to more favorable social attributions of group members, those gains are matched by reductions in the quality of decision outcomes for task-oriented groups (Baltes et al., 2002; Hollingshead, 1996; Straus & McGrath, 1994; Warkentin, Sayeed, & Hightower, 1997). Within the disentrained channels of social media, similar effects may be expected: groups communicating via social media may see positive social outcomes but more laborious decision-making. It is thus important to consider both the perceptual and functional effects that altering the temporal resources available to group members may have on communication.

Value Derived from User-Generated Content

A second component of social media is that individuals using social media do so primarily due to the perceived utility or value they obtain from content within social media generated by other users, rather than by the medium’s superordinate organization or content. This component helps distinguish social media both from static websites (i.e., Web 1.0) and the broader subset of user-generated web tools (i.e., Web 2.0). For example, though users certainly may generate and read comments posted to online news articles, few readers are likely go to the New York Times (Web 1.0) website primarily for those comments. Rather, users go to NYT.com for the content posted by the site’s owner: news articles, editorials, and interest stories posted by the New York Times staff. Contrariwise, just because a site is comprised primarily of user-generated content does not innately define it as a social medium, particularly when users are not able to interact. RottenTomatoes.com, a movie rating service that amalgamates and displays users’ evaluations of movies as a Web 2.0 site, is not driven by user interaction, and thus would not be considered a social medium.

To exemplify the importance and distinction of this component relative to intergroup communication, consider Facebook without any users. Facebook, the company, can provide the infrastructure and source code to enable Facebook.com, and even generate stories and news summaries; but without users to generate content and (more importantly) interact with other users about that content, Facebook would not be a terribly interesting tool. The utility and value of numerous other social media (e.g., Pinterest, CyWorld) would likewise plummet were no one to provide content and interact with other users about that content. The necessity of interaction in social media is thus a unique property of group communication relative to other channels. In face-to-face interactions, and even in other CMC channels, an individual can be a group member without interaction. An individual wearing the scarf or jersey of a sporting team may identify as a fan of that football team even without interacting with other fans, either of the same team or of their rivals (Kwon, Trail, & James, 2007). Likewise, thousands of individuals may attend a sporting event and vigorously root for the home team, but never talk with other individual fans as in-group members. Even in traditional Web 1.0 and 2.0 tools, users can derive utility and social identity from the website without social interaction with other in-group (or out-group) members. In social media, the absence of communication is not possible, as the content and utility of social media are dependent upon interaction. Thus, even more than in other channels, within social media group communication should be a driving force through which individuals’ social identities are primed and activated, social identification occurs, and in-group norms are established and conformed to. For scholars, this component increases the importance of studying communicative exchanges (rather than isolated messages) in the formation, maintenance, and termination of group processes within social media.

Masspersonal Communication

As the final component of social media, masspersonal communication refers to the convergence of previously bifurcated conceptualizations of mass communication and interpersonal, recognizing opportunities for messages to have properties of both. O’Sullivan and Carr (in press) explicated masspersonal communication as messages wherein:

(a) individuals use conventional mass communication channels for interpersonal communication, (b) individuals use conventional interpersonal communication channels for mass communication, and (c) individuals engage in mass communication and interpersonal communication simultaneously.

(p. 4)

More directly, O’Sullivan and Carr defined masspersonal communication as those message concurrently (i) highly personalized for a specific individual or set of receivers and yet (ii) accessible to a broad and oft-indistinguishable audience. Masspersonal communication is not unique to social media—or even CMC in general—though it has become much more commonplace via social media. A marriage proposal via a Jumbotron is masspersonal, as it is (hopefully) a personalized message accessible to all attendees. In social media, the ability to present a personalized message accessible to a mass audience is even more readily afforded. Twitter reflects a means of readily communicating interpersonally via a mass channel, so one user’s tweet, even if intended for another specific Twitter user, is technically accessible to any other Twitter user to chance upon. Even in a more closed social media environment like Facebook, in which users generally need to mutually acknowledge ties to interact, a status update is visible to the user’s entire network, even when the status is directed toward a specific individual. Thus, individuals are rarely truly interacting interpersonally in social media, but rather do so masspersonally. Several studies have noted that the ways individuals communicate masspersonally differ meaningfully from how individuals communicate either interpersonally or via mass communication.

Masspersonal messages and the media that facilitate them can affect the nature and processes of group communication, most notably by changing the directionality of message transmission and receipt. For example, in a study of online cancer support communities, Love and Donovan (2014) found that young adults commonly used social media features to broadcast support-seeking messages to other in-group community members, but received personalized and private feedback interpersonally from individual members. Similarly, a content analysis of pro-anorexia blogs revealed that bloggers sought and received social support masspersonally. Bloggers used media tools to both (a) interact interpersonally with others through direct messages and (b) communicate via publicly accessible messages that could include other group members with similar support needs in subsequent conversations (Tong, Heinemann-Lafave, Jeon, Kolodziej-Smith, & Warshay, 2013). These findings suggest that group members strategically (though perhaps not consciously) use social media to manipulate and harness the level of identification (i.e., personal or social) with other members. Masspersonal communication within social media can thus be used to either strategically include or exclude others, emphasizing or making salient groups and their processes.

Theorizing Group Communication in Social Media

Perhaps the most fundamental—and challenging—facet of understanding communicative processes in social media is the selection and application of appropriate theory. As in CMC more broadly (see Walther, 2009), it can be challenging to identify and delineate among the various communication subdisciplines that may be at work in social media. Additionally, these subdisciplines may work to suggest either convergent or divergent outcomes. Communication within a group via a social medium (e.g., Facebook group) may be conceptualized and explored from an interpersonal perspective, such as when seeking to understand the social attraction or homophily between a particular dyad. Likewise, communication in enterprise social media, intraorganizational web-based platforms for employees (Leonardi, Huysman, & Steinfield, 2013), may be best conceptualized as organizational communication, following hierarchical paths and guided by power differences. Given the plethora of interactions at play in a social medium at any given time, when should we consider such interactions as from the framework of intergroup communication? One particularly effective way may be to approach communication within social media from an intergroup perspective when individuals are guided by social identities rather than personal identities. When social identities are activated, group communicative processes are more likely.

Social identity theory (SIT; Tajfel & Turner, 1979, 1986) proposes that an individual’s sense of self is comprised, in part, of the social groups or categories to which she or he belongs. One’s social identity is comprised of the attributes or characteristics perceived to be shared by other members of the same social group, and differentiated from the oppositional attributes or characteristics of the relevant out-groups. From the perspective of SIT, individuals can identify (and thus act) either interpersonally via their personal identity or intergroup via their social identity. Applying SIT within social media, communication should be guided by interpersonal processes and theories when interactants’ personal identities are activated, and guided by intergroup processes and theories when social identities are made salient. However, one challenge of social media is that these tools often enable users to concurrently present and interact via both personal and social identity cues (Carr, Varney, & Blesse, 2016). A substantive challenge to the application of intergroup theory (such as SIT) is identifying when individuals are depersonalized and social identities are primed, thus activating group processes and making the selection of intergroup theory apropos.

Activating Groups in Social Media

The application of SIT to guide intergroup processes in social media is predicated on the activation of group (rather than interpersonal) behaviors via relevant and available social identity cues. Yet, partially due to the glut of information typically available in social media’s user-generated environments, social identities may be activated in several ways to drive intergroup communicative processes. Social and group identities may primed by the context of the social media environment itself, the use of nonverbal and visual cues by users, and even linguistic cues denoting group identity. Though these processes will each be unpacked, it is important to consider that these cues rarely occur in isolation, and that various configurations of these social identity cues may occur together in a given medium.

Context Cues and Social Identity

There are several ways the structure, nomenclature, focus, or conventions of a social medium can guide group processes. One of the most fundamental cuing mechanisms is the very nature of an individual social medium. Initially, the very nature of each social medium can cue social identities. The core of a medium may be evidenced in its mission statement, its users’ adoptions and norms, its affordances, or even its terminology. For example, the names of many social media tools explicitly denote—and in so doing activate—various groups and social identities. DeviantArt affords users a means of sharing and critiquing sketches, drawings, painting, and other work among fellow artists. Likewise, CafeMom facilitates interactions among mothers, GovLoop connects and allows discussions among government employees, and HR.com situates itself as a tool for interaction among human resource professionals. In these examples, the naming of the social medium itself makes salient particular groups to guide interactions: One is certainly able to discuss topics unrelated to artwork on DeviantArt, but will quickly find other users more welcoming of users and topics who are also engaged as artists. Likewise, individuals on CafeMom surely identify (both personally and socially) as more than mothers in other contexts, but as individuals seek out and interact with others on the medium, they do so guided by their social categorization as mothers rather than other facets of their identity (e.g., mountain climber, CEO, wife).

An additional way groups and group processes may be activated within social media is through the emergence of groups or communities tied to certain features, affordances, or norms often either established a priori or that emerge naturally through group behaviors to form a community. Eckert and McConnell-Ginet (1992) defined a community of practice as “An aggregate of people who come together around mutual engagement in an endeavor. Ways of doing things, ways of talking, beliefs, values, power relations—in short, practices—emerge in the course of this mutual endeavor” (p. 464). Exploring the emergence of a community of practice within the photo-sharing social medium Flickr, Smock (2012) noted that site affordances (e.g., sharing of camera equipment or settings like aperture, exposure time, focal length used to take the displayed photo) enabled advice-seeking, feedback provision, and general interaction among fellow shutterbugs within the broader Flickr service. In such cases, individuals can form or join communities within a specific service due to the group’s focus, as the focus may signal a general shared interest or common group identity. For example, frequent contributors to Star Wars–themed Wookiepedia1 may interact via the wiki’s talk pages, wherein they do so knowing contributors are predisposed and communicating in a context in which their Star Wars fandom is primed and guiding interactions with other Star Wars fans.

Finally, groups may be formed and clearly denoted within broader social media contexts in ways that explicitly articulate the nature and relevance of group affiliation. For example, the “star wars and star trek lovers” group on Facebook2 exists as a self-selected subset of Facebook users who have opted in to the forum to discuss their pro-Star fandom. The naming of the group immediately defines and bounds group membership to a subset of science-fiction fans, establishing fans of the Star Wars and Star Trek franchises as in-group members, while establishing others (including fans of other sci-fi franchises like Dr. Who and Babylon 5) as out-group members. Even before joining the group or interacting with other group members, individuals are made aware of the nature of the group and relevant intragroup and intergroup traits germane to the group’s membership. In this way, the nomenclature or context of the social medium itself may activate intergroup communicative processes over alternative forms of communication.

“Physical” Cues

Prominent early CMC theory suggested the visual anonymity facilitated by mediated interactions would drive intergroup interactions, as individuals would be deindividuated without a corporeal representation and thus guided by social identities (Reicher, Spears, & Postmes, 1995). Some scholars (e.g., Spears & Postmes, 2015) remain adamant that visual anonymity is necessary and sufficient to engage intergroup—rather than interpersonal—processes. Yet social media often make use of multiple visual elements, particularly for self-presentation, introducing phrases like “profile photo” and “selfie” into the mainstream vernacular. Moreover, research has increasingly demonstrated that the presence of these visual cues—both individuating and personalizing—within social media channels from Instagram to LinkedIn does not innately negate the opportunity for perceptions, and communication, guided by interpersonal processes (Carr, Vitak, & McLaughlin, 2013). Rather, a more tempered and nuanced approach is merited, as these “physical” cues about an individual—ranging from depictions of clothing and other artifacts to the actual representation of a user’s self—can activate and influence group interactions similar to offline cues.

Perhaps the most notably manifest “physical” cues in many social media are pictorial self-representations. Numerous social network sites invite users to post pictures of themselves to use as individuating cues to that specific user—an invitation users typically accept, frequently posting photos as profile images (Lampe, Ellison, & Steinfield, 2007). Yet even these highly individualizing cues can activate group processes, giving off social identity cues. For example, users may express a group identity through dress or other clothing attire, either intentionally or unintentionally indicating their social category to others. An individual who selects a profile picture displaying wearing a Boston Red Sox hat and jersey gives off cues to her or his sports fandom (specifically baseball) and team identification which may activate group processes, should either sports or baseball teams be salient (Carr, Varney, et al., 2016; Earnheardt, Haridakis, & Hugenberg, 2011). Likewise, an individual may give off cues to her Islamic religious affiliation by posting a profile photo of her in a hijab (Kavakci & Kraeplin, in press), activating intergroup processes should religion be a salient social cue. Thus, how individuals pictorially depict their physical selves in social media can activate group processes, just as in face-to-face processes activated by physical—and sometimes arbitrary—cues such as clothing (see Bigler, Brown, & Markell, 2001; Goldman, Giles, & Hogg, 2014).

Less explicit and identifying than photos, the avatars used to represent individuals in social media can activate group processes. For example, Lee (2004) placed individuals into three-member groups in an avatar-mediated environment for a decision-making task. Groups were experimentally manipulated so that members were represented by either identical (i.e., three anthropomorphic bears) or different avatars (i.e., a koala, bear, and parrot), and asked to engage in high- and low-risk advice-giving tasks with two virtual confederates. Lee’s findings revealed greater conformity to group norms and confederates’ decision positions when group identities were primed and group members were represented by similar avatars/agents. Moreover, participants reported feeling innately more depersonalized (i.e., part of the social group) merely by utilizing identical virtual physical representations, which further led to conformity to the group.

Interestingly, even though the avatars used in social media need have no ties or warrant to the user’s offline self, online avatars can still guide group categorizations and effects. For example, an avatar’s gender can activate gendered stereotypes, guiding interactions based on individuals’ online presentations rather than offline selves. In a foundational study of this effect, Lee (2007) arbitrarily assigned participants to either male or female avatars and asked them to engage in decision-making tasks about typically masculine or feminine topics. Findings evidenced that the visual cue significantly affected sex inferences about the interaction partner, so that participants assumed female avatars were used by women and male avatars by men. More central to group effects, individuals were more willing to accept partners’ recommendations when the partner’s avatar’s gender was consistent with the masculinity/femininity of the topic, suggesting that even gendered avatars may activate normative assumptions and behaviors commensurate with gendered social identities, even when users are aware avatar assignment may be random. More recently, these effects were supported in more dynamic, graphical-interface environments of massive multiplayer online games (MMOs). Exploring player behavior in the popular MMO World of Warcraft, Yee and colleagues (2011) found that players represented by female avatars were more likely to engage in feminine play types (e.g., playing healing roles, more collaborative engagement) than those represented by male avatars, regardless of players’ offline gender. Consistent with additional results (e.g., Lim & Reeves, 2009; Martey & Consalvo, 2011; Martey, Stromer-Galley, Banks, Wu, & Consalvo, 2014), it seems virtual cues to identities may at times be a more substantive cue of social identity than offline characteristics, subsequently driving social identification and group effects online.

Linguistic Cues

Language has long been used as means of signifying and activating group membership and processes. At a foundational level, the construction of in-group and out-group boundaries and relationships can be conducted as simply as through the use of “us-them” diametric (Duszak, 2002a). The categorization of social groups can lead to intergroup and intragroup interaction through denoting distinct social identities (Brewer, 1999). However, language can be used to likewise connote distinct in-group and out-group boundaries, even when such groups may not clearly exist. As Duszak (2002b) notes, language can be used to “other” (p. 2) individuals perceived to be different from ourselves and the salient social group to which those individuals are compared. The explicit use of us/them verbiage can activate intergroup processes and interactions, even in dyadic exchanges. Simply framing an interaction as “us versus them/you” can infer and appeal to greater social groups to which the two interactants may respectively belong and the similarities or differences among them. In turn, the interactants then may likely do so as group members, rather than as individuals, due to the linguistic frame guiding their interaction.

For example, the nature of disclosures may subtly indicate group formation and norms. In a study of students’ online discussions in a chat forum, Deitz-Uhler, Bishop-Clark, and Howard (2005) identified normative trends in self-disclosures among group members (e.g., “I am manic-depressive.”). Interestingly, these personal self-disclosures did not increase linearly over time, as may be predicted by interpersonal processes of relational formation (Knapp, 1978). Instead, self-disclosures ebbed and flowed so that the proportion of an individual’s self-disclosing statements reflected others’ frequency of self-disclosure statements throughout the eight class sessions. Thus, the norms of both on- and off-topic selection and disclosure appear to reflect manifestations of group identification. Individuals demonstrated linguistic convergence in the masspersonal discussion forum, observing and converging the nature of their disclosures to reflect that of other in-group members.

Beyond self-disclosure and topic norms, minor and often imperceptible linguistic cues can be viewed as a means of identifying with a group through linguistic convergence. In a study of computer-mediated groups, Lea and Spears (1992) experimentally examined the use and effects of paralinguistic cues in task-group discussions. Between-condition results revealed participants in high group salience, deindividuated conditions reported positive relationships between paralinguistic cues and personal attributions of fellow group members (i.e., likability, uninhibitedness, and dominance). Particularly as compared to other conditions in which use of paralinguistics negatively predicted attributions (see also Carr & Stefaniak, 2012), Lea and Spears (1992) interpreted these findings as indicating that individuals in mediated groups ultimately develop and adhere to even conversational norms, additionally attributing more positive attributions to individuals conforming to those norms, at least over time. In other words, individuals perceiving themselves to be in a group conform to the group’s linguistic norms—even at the level of paralinguistic cues such as spelling, ellipses, and paralanguage (e.g., “um” and “errr”)—and evaluate more positively other group members who likewise linguistically conform. More recently, McEwan (2016) analyzed several of the most popular threads on Reddit for the language used by contributors among the various discussions. Groups of Redditors were more cohesive, stable, social, and interactive, and their language styles and word choice converged. Within social media, this linguistic convergence and cuing of group norms and memberships should be expected, particularly within the many social media dominated by text-based interactions. Individuals can activate and signal their group membership and social identities by adhering to linguistic and conversational norms, adopting the in-group’s dialogic style.

Social identities can also be created or denoted in social media via specific linguistic cues or markers combined with technical or system features, which can then serve as additional within-group and between-group boundaries. One of the most notable and currently visible manifestations of these specific linguistic cues is the hashtag—a keyword or phrase preceded by the “#” symbol—first popularized in Twitter but since diffused to other social media platforms. Though individuals can use hashtags as searchable terms, their adoption or appropriation by specific groups—either intentionally or ad hoc—can be used as a means of signifying group identification and engaging in larger intragroup interactions (Bruns & Burgess, 2011). For example, the hashtag #BlackLivesMatter emerged in July 2013. Following the police shooting of Michael Brown in Ferguson, MO in August, 2014, the hashtag rose to prominence as individuals used Twitter to discuss police violence, particularly toward black individuals. Circumventing traditional media channels and narratives, individuals took to Twitter and, using the #BlackLivesMatter (or #BLM) hashtag began to coordinate and organize national activities among geographically separated group members (Freelon, McIlwain, & Clark, 2016). In the case of #BlackLivesMatter, use of the hashtag was a galvanizing cue to explicitly signal users’ social identities and group affiliation.

Hashtags have likewise linguistically signaled group membership and boundaries, but without the deliberateness of #BlackLivesMatter. Exploring discussions of coffee on Twitter, Zappavigna (2014) explored the ad hoc clustering of Twitter users’ communication structures based on their shared use of the hashtag #coffee. Network analysis identified unintentional groupings of individuals on Twitter discussing the caffeinated beverage, but additionally delineated subgroups based on specific focus or interest in coffee. For example, within the larger #coffee group were embedded network clusters of individuals who (a) focused on coffee as a morning ritual; (b) were coffee gourmands, swapping precise roasting and brewing techniques; and (c) just drank coffee as a caffeinated kick-start throughout their day. These clusters developed around their own shared hashtags and communication structures, and in so doing evidence the natural boundaries of various subgroups within the broader #coffee group on Twitter. Ultimately, Zappavigna concluded that these subordinate clusters of coffee aficionados as well as the superordinate coffee-lover category represented ad hoc groups or communities online. Individuals do not necessarily go onto Twitter self-identifying as members of a coffee group or coffee-related subgroup. Instead, coffee groups naturally emerged through discourse and common language and signals such as hashtags. Consequently, groups may be defined—and their members signal their social identities and subsequent group affiliations—through shared use of common hashtags (or other sociotechnical linguistic features) and interaction with those hashtags. These processes can transcend linguistic cues, occurring in social media whose initial content is dominantly visual (e.g., Instagram, DeviantArt) as groups emerge naturally via common images or pictorial cues. In these ways, language may not only be used to maintain groups, but to bound and identify groups themselves.

Intergroup Communication within Social Media

Having been activated by one of the mechanisms identified above, social identities can subsequently guide intergroup communication within social media in complex ways. Like the CMC tools that preceded them (e.g., e-mail, chat rooms, group decision support systems), social media have been noted for their ability to facilitate communication among individuals regardless of differences in geography, time, culture, relational closeness, familiarity, and social or organizational status. Particularly by enabling communication spanning social and physical borders, social media are of increasing interest to scholars of intergroup communication. Though still developing, this exploration of group communication in social media has already noted that social media can silo groups to increase intergroup differences, or bridge and connect groups to reduce intergroup differences, depending on how the media are used.

Siloing Groups

One effect social media may have is siloing groups, as social media provide groups fora in which to engage in intragroup communication within their specific in-groups, limiting the potential for interaction with disparate other groups. Brundidge’s (2010) inadvertency thesis posits that the weakened boundaries among social structures and groups facilitated by social network sites and social media lead to accidental exposure to disparate groups online, specifically those political in nature. Offline, groups tend to cluster homogeneously, so that members of Elks lodges, bowling leagues, and card clubs often reflect similar political ideology, and thus members are not exposed to the perspectives of other groups. Yet Brundidge supposed that social media may encourage exposure to and interaction across group boundaries, as social networks often cut across social boundaries and groupings (Hogan, 2010). Early findings supported Brundidge’s inadvertency hypothesis, noting that Facebook use predicted exposure to diverse political viewpoints (e.g., Kahne, Middaugh, Lee, & Feezell, 2012; Kim, 2011). However, more recent work has generally refuted the inadvertency hypothesis. A growing body of literature suggests a siloing effect, wherein discussions of civics frequently occur in limited and politically homophilous groups (Kushin & Kitchener, 2009; Miller, Bobkowski, Maliniak, & Rapoport, 2015; Valenzuela, Kim, & de Zúñiga, 2012). This siloing potentially occurs as users employ system features to limit exposure to statements of those not sharing their political views or terminate online ties entirely. For example, Hayes and colleagues (2015) found that people may use Facebook’s system features to reduce—or block entirely—the amount of others’ content to which they are exposed when those others’ political views are dissimilar from their own and posted frequently. For more severe differences in political group affiliation, some individuals may even terminate social media connections entirely (i.e., unfriend; Yang, Barnidge, & Rojas, 2017).

One consequence of this siloing of groups within social media may be media switching, wherein a group isolated in a social medium uses it to coalesce group identity and norms, until a sufficient point wherein the group can spill into other channels, including offline interaction, to further manifest their group identity. One example of this is the political mobilization of young voters, who have historically been a disenfranchised and politically inactive group (Gibson, 2009). Particularly during the early integration of social media into elections in 2008, both within the United States (Vitak et al., 2011; Xenos, Vromen, & Loader, 2014) and abroad (Larsson & Moe, 2012; Moeller, de Vreese, Esser, & Kunz, 2014), social media were identified as tools to engage and mobilize young voters, ultimately transcending social media to increase the offline political engagement of this historically disenfranchised group (Carr, Hayes, Smock, & Zube, 2016).

Similar effects have been noted, particularly for special interest groups, whereby social media can serve as echo chambers (Colleoni, Rozza, & Arvidsson, 2014) in which intragroup communication isolates and intensifies group attitudes and norms. After forming online, this group can then spill into offline contexts, whereupon the social identity and values intensified online lead to strong intergroup perceptions and conflict offline. Importantly, this echo chamber intensification of polarized group beliefs transcending social media and emerging into offline action is not inherently antisocial or culturally null. Certainly, incidents of cyberbullying (Hinduja & Patchin, 2013) and increased affiliation with urban gangs (Patton, Eschmann, & Butler, 2013) anecdotally exemplify that social media echo chambers can allow groups to isolate online and ultimately result in harm, both online in situ and offline as polarized group identities spill out into offline abuse and violence. However, the Guatemalan justice movement (Harlow, 2012) and the Arab Spring (Eltantawy & Wiest, 2011) likewise evidence the potential for prosocial, civically engaged, and culturally impactful effects of social media. Social media can provide a safe place for geographically disparate individuals to come together to first identify and delineate a common group identity. Once a common identity is formed, the social medium may then be used to facilitate coordinating activities for the enactment of offline actions of the group.

Notably, this increased polarization of groups via social media can be used strategically by taking advantage of affordances and features within social media to activate social identities, and in so doing strategically motivate groups based on their social identities. One such strategic activation of intergroup differences to motivate action and behaviors was exemplified by Smith, Hitt, Park, Walther, Liang, and Hsieh (2016), who sought to use social media to increase organ donation registration. Smith and colleagues developed a social media–based campaign targeted at members of two universities whose affiliations were highly salient and oppositional. The campaign used social media advertisements to frame donor registration as a competition between the two universities (and thus social groups). This intergroup frame led to significant increases in donor registration over more personalized adverts. In this applied example, social media were used to strategically activate social identities and motivate behavior by identifying conformity to in-group behavior (e.g., “Other Wolverines like you are registering”), while concurrently opposing out-group behaviors (e.g., “Don’t let the Buckeyes win”). Ultimately, though social media may close off groups and reduce the opportunity for inadvertent communication, this isolation is not inherently either negative or positive. Rather, this siloing of groups and reduction of intergroup communication is merely one effect that can occur in social media, to various ends.

Spanning Groups

An alternate effect social media may have is spanning groups, as they provide a means by which groups and their members may seek out and communicate beyond their specific in-group, increasing the potential for interaction with disparate others. One mechanism that has been identified as a means by which intergroup communication may be facilitated or encouraged in social media is Allport’s (1979) contact hypothesis. According to Allport, the differences an individual perceives between a particular in-group and out-group can be lessened by positive interpersonal contact with a member of that out-group. By first interacting with the individual interpersonally, positive attributions about the individual are subsequently transferred onto other out-group members. Amichai-Hamburger and McKenna (2006) initially posited that CMC represents an excellent channel to enact the contact hypothesis, as mediated channels reduce the anxiety often accompanying face-to-face intergroup interactions. Subsequently, Walther and colleagues (2015) applied and tested this contact hypothesis to ameliorate intergroup differences and prejudice within an Israeli teacher-education course whose students represented three disparate social groups: religious Jews, secular Jews, and Muslims. Findings of the pretest-posttest study were consistent with the contact hypothesis, revealing students participating in initial sessions of the course via a course-management system (a limited-access social medium) reported lower levels of prejudice and greater change from pre-enrollment levels following online interactions guided by interpersonal—rather than intergroup—identification. Social media can thus serve as effective means of practically applying the contact hypothesis to help lessen intergroup differences by facilitating communication that is initially interpersonal, but that may evolve into intergroup communication as group prejudices are ameliorated.

An additional mechanism by which social media may help span intergroup boundaries and thus foster communication among otherwise distant social groups is through their frequent collapse of social boundaries and contexts. Unlike offline interactions, in which one is usually engaged in a singular social context (e.g., work, home, the bar) at any given time to guide interactions and govern social behaviors, social media often allow individuals to span typically isolated contexts. On Facebook and Twitter—where one is connected with family members, clergy, coworkers, and friends alike—individuals can interact mass personally, bridging the typically separate social groups to which they belong. Initial discussions of network formation posited that forbidden triads (e.g., if person A is close friends with person B and person C, it is unlikely persons B and C are unacquainted) should be rare (see Burt, 2005). However, as populations migrate and individuals compartmentalize facets of their social identities, such forbidden triads may be common. For example, your boss is not likely to interact with your grandmother, even though you know both well. Yet social media have helped close some of these forbidden triads, both through communicative and social mechanisms (e.g., being exposed to a masspersonal message directed to a mutual friend) and system features (e.g., Facebook and Twitter suggesting network ties) (Golder & Yardi, 2010). Consequently, both social and system structures within social media may facilitate and encourage intergroup communication even more than offline or older CMC channels.

Discussion and Future Directions

Social media have increasingly become ubiquitous venues for communication, including intergroup communication. Within these emergent channels, offline groups have found a medium to enable geographically and temporally unconstrained interaction. Likewise, groups have formed solely via social media, particularly for members of stigmatized groups, with special interests, and without need for collocated interactions (Wright, 2002). And sometimes groups even emerge ad hoc as dyadic interactions link up to form groups of individuals around a common identity, such as coffee (Zappavigna, 2014). Group interactions within social media often remain there, as individuals take advantage of the affordances social media offer over other communicative channels, but they can spill offline or into other mediated channels (Parks & Floyd, 1996). Recent events like the Black Lives Matter movement and Arab Spring have brought these media switches to the fore of communicative scholars’ focus, and may continue to be of particular interest as organizations, governments, and individuals seek to leverage the power of social media to drive groups’ attitudes and behaviors. Yet it remains unclear exactly how social media can be leveraged to purposively drive group behaviors, both within and beyond social media. While sometimes social media can bring groups together and facilitate intergroup contact to reduce intergroup distance, social media can also provide a venue wherein groups can isolate themselves and engage in intragroup communication to strengthen their group identity and expand intergroup distance. Ultimately, the perils and promise of social media for intergroup communication are not innate properties of the channels themselves, but rather how users interact within them. Consequently, it is important for communication scholars to continue to probe the processes and outcomes of intergroup communication in these channels. As scholars rush to fill the void of knowledge regarding the functions and effects of these tools for group communication, many substantive challenges remain.

First, more work is needed to fully conceptualize what social media actually are (rather than what they have been) and distinguish them from CMC more broadly. Carr and Hayes’ (2015) definition of social media can serve as a foundation to conceptualize these tools, but given the rapidly evolving and mercurial nature of communicative technologies, such a foundation may already be eroding. For example, Gimbals’s “Beacon” app was featured at SXSW 2015 to demonstrate the Bluetooth-based collocated social medium to festival attendees (Swedberg, 2015), violating Carr and Hayes’ (2015) stipulation that social media are Internet-based. There is thus a need for scholars to keep abreast (as it is unlikely they will be able to get ahead) of sociotechnical developments. Additionally, amid continued fervent calls to develop theories for and of social media, scholars should carefully consider when social media operate in ways similar to other forms of CMC and may thus be guided by extant theory. Just as hoary communicative theory can be applied to explain and predict CMC, so too can existing communication theories be often applied to explain and predict communication within social media. Thus, while social media are still emergent means of communicating, scholars should approach the calls for and development of theory specific to social media warily. New theories will be important primarily when communicative phenomena unique to social media are identified. New theories can then be used to explain these novel processes and/or effects. Even more important will be the explication of boundaries of theories, identifying when theories should be constrained to social media and when they may be applied to general human communication phenomena more broadly.

Second, echoing a concern that has historically resonated throughout CMC research (Walther, 2009), we must begin to establish boundaries to delineate intergroup communication from the many other communicative interactions and functions occurring as social media increasingly converge our interactions and messages alike. Perhaps at the core of this challenge is differentiating what of a social medium itself drives intergroup interaction, regardless of the actions and attitudes of users. What about social media pushes a communicative episode into the intergroup realm from others, such as interpersonal or interorganizational? Though this entry has sought to address and begin to answer some of these issues, much work remains yet to be done to identify when a communicative interaction within (or transcending) social media operates under the auspices and theories relevant to intergroup rather than those relating to other domains. Some of the offered potentials include the availability and salience of intergroup cues, the potential for depersonalization of users, and environmental features or channel norms emphasizing group over other (e.g., interpersonal, organizational) forms of identity, but additional boundaries should be identified and pursued. Taking time to identify the particular boundaries of social media will help identify what opportunities, affordances, and uses they offer relative to unmediated and hoary CMC channels.

A final challenge in exploring intergroup communication within social media will be that of multiple and nested social groupings. As social media can reduce the boundaries of group membership and make subgroups more permeable, individuals may more readily move among groups, blurring their social identification and making distinctions among groups more problematic. The challenge of multiple concurrent social identities is exemplified by Tanis’ (2003) struggle to quantitatively identify intergroup differences between students at the University of Amsterdam and Amsterdam’s Vrije University. Qualitative interviews revealed that many students were dual-enrolled at both, suggesting a superordinate social identity: “college student in Amsterdam.” As individuals in social media can similarly have disparate group memberships (e.g., one can identify as being a fan of both the Red Sox and their Yankee rivals in a profile description), it may be challenging to identify when various social identity cues reach a sufficient level to be activated. For example, when has one presented enough cues to one’s university affiliation to be acknowledged as a fan rather than just a student (see Carr et al., 2013)? A second concern here is that of nested groups: when there exist several subordinate groups within a superordinate group, when do subordinate group identities guide group communication, and when is communication governed by the superordinate identity? Returning to an earlier example, members of the “star wars vs. star trek” Facebook group may identify as fans of either Star Wars or Star Trek (i.e., subordinate groups) within the group, until a fan of Martin’s Song of Ice and Fire series enters the group. Faced with a common out-group member, Star Wars and Star Trek fans may revert to their superordinate social identities of science fiction fans to argue against Game of Thrones’ high fantasy genre, claiming that—like Jon Snow—a high fantasy fan knows nothing. Future work will need to explore how individuals identify at various group levels to identify when superordinate identities (e.g., Facebook users vs. MySpace users) guide group interactions rather than subordinate identities (e.g., particular fandoms, political affiliations) are relevant.

Relative to the attention communication scholars have historically other channels (e.g., FtF, e-mail, GDSSs), social media remain a novel and exciting domain of study. Notably, CMC tools from at least 1985 (i.e., The WELL; see Rheingold, 1993) can be considered social media, rendering calling social media “new media” a bit of a misnomer. However, as the technologies underlying social media and the individuals using them continue to increase in complexity and ubiquity, scholars find themselves racing to keep abreast of these communicative tools. Rigorous scholarly research into group processes within social media will need to be conducted theoretically and abstract to be informative in the long term. Studies of particular tools (often ephemeral in the interface du jour of many social media) or applied phenomena will be challenged to make persistent contributions as the designs and tools of platforms evolve. The novelty of social media is not a function of their short history but rather of their ever-changing nature. The exponential growth and societal integration of these channels merits continued and more focused consideration among scholars of mediated and intergroup communication alike. Such consideration is particularly needed to address theoretical and practical communicative challenges that will continue to emerge as social media tools are increasingly interwoven into the tapestry of our lives.

Further Reading

Amichai-Hamburger, Y., Hasler, B. S., & Shani-Sherman, T. (2015). Structured and unstructured intergroup contact in the digital age. Computers in Human Behavior, 52, 515–522.Find this resource:

Bazarova, N. N., & Walther, J. B. (2009). Attributions in virtual groups: Distances and behavioral variations in computer-mediated discussions. Small Group Research, 40, 138–162.Find this resource:

Bazarova, N. N., Walther, J. B., & McLeod, P. L. (2012). Minority influence in computer-mediated groups: A comparison of four theories of minority influence. Communication Research, 39, 295–316.Find this resource:

Carr, C. T., Varney, E. J., & Blesse, J. R. (2016). Social media and intergroup communication: Collapsing and expanding group contexts. In H. Giles & A. Maass (Eds.), Advances in and prospects for intergroup communication (pp. 155–173). New York: Peter Lang.Find this resource:

Haridakis, P. M., Lin, M.-C., & Hanson, G. (2016). The influence of political intergroup differences and social media use on political discussion and polarization. In G. W. Richardson, Jr. (Ed.), Social media and politics: A new way to participate in the political process (pp. 219–242). Santa Barbara, CA: Praeger.Find this resource:

Mikal, J. P., Rice, R. E., Kent, R. G., & Uchino, B. N. (2016). 100 million strong: A case study of group identification and deindividuation on Imgur.com. New Media & Society, 18, 2485–2506.Find this resource:

Nicholls, S. B., & Rice, R. E. (in press). A dual‐identity model of responses to deviance in online groups: Integrating social identity theory and expectancy violations theory. Communication Theory.Find this resource:

Siegel, J., Dubrovsky, V., Kiesler, S., & McGuire, T. W. (1986). Group processes in computer-mediated communication. Organizational Behavior and Human Decision Process, 37(2), 157–187.Find this resource:

Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36, 143–189.Find this resource:

Walther, J. B. (2013). Groups and computer-mediation. In Y. Amichai-Hamburger (Ed.), The social net (2d ed., pp. 165–179). Oxford: Oxford University Press.Find this resource:

Wang, Z., Walther, J. B., & Hancock, J. T. (2009). Social identification and interpersonal communication in computer-mediated communication: What you do versus who you are in virtual groups. Human Communication Research, 35, 59–85.Find this resource:

Wright, S. C., Brody, S. M., & Aron, A. (2005). Intergroup contact: Still our best hope for improving intergroup relations. In C. S. Crandall & M. Schaller (Eds.), Social psychology of prejudice: Historical and contemporary issues (pp. 119–146). Lawrence, KS: Lewinian Press.Find this resource:

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