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Sports leagues, such as Major League Soccer (MLS), aim at expanding their audience at global level through alternative media other than television (TV). Brazil stands out among football media consumer audiences as one of the main markets worldwide. Brazilian MLS consumers play the role of fans to converge between TV media and digital platforms, in a phenomenon that has been called Social TV.

The aim of the current research is to investigate how Brazilian MLS fans' consumption process is established through Social TV; it was done based on netnography performed between 2018 and 2020.

Results have indicated that Social TV is a catalyst of practices associated with fan culture: cultural convergence, technologies appropriations, poaching experiences and production of a collective intelligence.

Current research reinforces how ethnography methodology has been gaining room as likely consumer market research, working as alternative method based on the prevalence of focus group and survey techniques.

Social TV phenomenon presents itself as a possibility to expand and direct marketing strategies focused on sports management, just as the media often consumed by fans.

From the results, it is possible assuming that connections between fans are punctually guided by their relationship with the cultural object consumed by them in a network relationship whose actors deindividualize sociocultural practices such as consumption. Thus, the main contribution of the study lies on identifying how fan culture can be autonomously established in the market arena in comparison to other cultures.

This study aims to examine entertainment TV shows' social media accounts to theoretically and practically explore the relationship between social media engagement and the performance (represented by ratings) of such shows.

By using the data of a popular TV show in the USA, The Voice, the present study examined the messages on the Facebook fan page of the show and how these messages correlated with the ratings of the show. Social media usage data in the course of three seasons (Seasons 10–12, 82 episodes in total) were collected from Facebook (N = 1,192,722 messages). Both regression and sentiment analysis were performed.

Overall, the findings revealed positive relationships of TV show ratings with both passive social media engagement (Facebook likes) and the number of official posts. However, active social media engagement was not positively related to show ratings.

By enhancing understanding of audience engagement with social media, our research extends knowledge related to the nature and development of viewer involvement with entertainment across different media platforms. Our results also help clarify how interpersonal communication (social media comments) and mass communication (TV programs) intersect. Practically, the findings could be applied to improve the interaction of TV audiences with show content, provide insights into the future of social TV development and inform decision-making amongst TV industry professionals.

Social television (Social TV) viewing of live sports events is an emerging trend. The realm of transformative service research (TSR) envisions that every service consumption experience must lead to consumer well-being. Currently, a full appreciation of the well-being factors obtained through Social TV viewing is lacking. This study aims to gain a holistic understanding of the concept of digital sports well-being obtained through live Social TV viewing of sports events.

Focus group interviews were used to collect data from the 40 regular sports viewers, and the qualitative data obtained is analyzed thematically using NVivo 12. A post hoc verification of the identified themes is done to narrow down the most critical themes.

The exploration helped understand the concept of digital sports well-being (DSW) obtained through live Social TV sports spectating and identified five critical themes that constitute its formation. The themes that emerged were virtual connectedness, vividness, uncertainty reduction, online disinhibition and perceived autonomy. This study defines the concept and develops a conceptual model for DSW.

This study adds to the body of knowledge in TSR, transformative sport service research, digital customer engagement, value co-creation in digital platforms, self-determination theory and flow theory. The qualitative study is exploratory, with participants’ views based on a single match in one particular sport, and as such, its findings are restrained by the small sample size and the specific sport. To extend this study’s implications, empirical research involving a larger and more diversified sample involving multiple sports Social TV viewing experiences would help better understand the DSW concept.

The research provides insights to Social TV live streamers of sporting events and digital media marketers about the DSW construct and identifies the valued DSW dimensions that could provide a competitive advantage.

To the best of the authors’ knowledge, the exploration is the first attempt to describe the concept of DSW and identify associated themes.

Sports leagues have stood out in the entertainment industry due to their great economic value and cultural impact. This is the case of the American sports leagues, with emphasis on the National Basketball Association (NBA), whose largest Latin American market lies on Brazil. The aforementioned league’s audience is constantly growing, a fact that can be partially explained by the encouragement provided for its viewers to interact through social media, in a phenomenon called social TV. Accordingly, the aim of the present study is to investigate how social TV works as a means for Brazilian fans to coproduce their NBA broadcasting enjoyment through social media interactions.

The authors conducted a netnography on the community of fans engaged in Twitter hashtag #NBAnaESPN, which was released by ESPN to promote audience integration during NBA games' broadcasting.

A theorization about the role played by social TV in the way fan culture articulates through social media to enjoy broadcasting media products was herein presented. The findings of this study have evidenced three categories concerning the role played by television broadcasting, social media and the fandom in NBA consumption by Brazilian fans. Based on these findings, the authors got to the conclusion that social TV establishes a mediatized environment where fan culture can be articulated through social media to enable interactions about television broadcasting.

The study was limited to members of the Brazilian NBA audience who engage in the official social media of the league’s broadcasting.

The study heads toward a theoretical generalization based on the research results.

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.

The purpose of this paper is to examine whether and how usability and sociability differ in the way they influence users’ experiences using social TV (STV).

The research model is theoretically proposed and empirically tested through a survey of STV users in South Korea. The model was analysed using structural equation modelling, and the results were input to a neural network model to predict adoption.

Users differ in their emphasis on the identified dimensions when they view STV and socialise through it. Furthermore, the findings show the mediating and moderating roles of perceived sociability on the effect of performance on intention. That is, with sociability, users perceive higher utilitarian value and enjoyable hedonic value and thus are more likely to intend to use STV.

The implications of these findings are discussed in terms of building a theory of sociability and providing practical insights into developing a meaningful sociable TV experiences.

As multidimensional constructs, users’ perceptions of sociability and usability are determined by multiple heterogeneous factors, such as utility and social interaction. This study highlights these two aspects in terms of the rising use of STV.

The purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing.

The authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter.

The findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing.

Content creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

TV changes in several disciplines concurrently: from analogue to digital, from scheduled broadcasts to on‐demand TV on the internet, from a lean‐back (passive) to a lean‐forward (active) media, from straight watching to the consumption of content connected to additional services, from the sole TV viewer to the viewer being part in social networks and communities regarding to the TV content, etc. The purpose of this paper is to demonstrate the adaptation of design and realization of TV program formats to the changes that happen to television. In addition, the paper would like find out how to support the design of interactions, dynamic narrations and content types as well as the role of the internet within these processes and this application area.

Currently, there exist many approaches towards the development of social, collaborative, and interactive TV program formats and systems. Within the scope of this paper, the authors present latest case studies and example program formats for each case. The paper examines them concerning their interaction possibilities and architecture as well as the influence and utilization of the web. Finally, the paper provides a simple categorization according to the narration character, content, and interactivity types of the listed TV program formats.

Caused by the collaborative and interactive characteristic of the web, a big influence of the web concerning the hardware‐ and content‐sided development of TV is discovered. Nevertheless, the web's potential is absolutely not exploited in this area, neither to give more dynamic to the narration, nor to appreciate the content type or the interactivity. Finally, the paper identifies a high effort, occurrence and development in the interactivity, in contrary to the narration characteristic and content types.

Only one representative, example TV program format enabling interactions by the viewer for each case in the paper, has been chosen. The authors make no claim to be complete, in covering all genres, possibilities of interaction or TV program formats existing for the field of interactive/social/collaborative TV.

This paper presents an extension of a previous paper presented at the MoMM2009.

The purpose of this paper is twofold. First, it investigates the relationship between television, its audiences and Twitter around the creation of social TV events. Here it contributes to knowledge by charting usage in relation to different types of programmes and by comparing Twitter to Facebook data. Second, it evaluates the way in which student-led research can be used to conduct audience studies with the help of Twitter.

The research applies a quantitative approach, measuring the volume of Twitter messages before, during and after two different types of television programmes, i.e. Reality TV (The X Factor and The Only Way is Essex) and sports broadcasts (football and Formula One). Brief comparisons are also drawn with data collected from Facebook. The pedagogical evaluation of the research is based on self-reflection by the author/tutor.

The research established similar trends and patterns of viewer engagement for both types of television programming, with key activity during and towards the end of a broadcast which points to viewers using Twitter, or Facebook, while watching the event. The findings are compared to previous studies on television programmes and Twitter use. The study also identified that student research using Twitter can lead to a valuable learning experience as it allows students to use their own knowledge of social media to inform the research process.

This research makes a contribution to the small yet growing body of studies examining Twitter activity in relation to TV events. It also contributes to knowledge on the educational use of social media by providing an account of how Twitter can be applied as a research tool by students.