Abstract
This article introduces quantitative reception aesthetics as a method and demonstrates how big data derived from social media services and textual analysis can be employed to uncover hitherto hidden processes of media spectatorship. It demonstrates how mixing quantitative and qualitative methods allows us to understand textual engagement and how media spectatorship evolves over time. Taking the Norwegian web series,
Introduction
While television viewing has always been inherently social (Katz and Lazarsfeld, 1955), the influx of interactive media has forced us to further develop our conceptualisations of what it means to engage with a televised media text. Indeed, Jenkins points out that the current media environment in general, and perhaps social media in particular, seem to make ‘[…] visible the once invisible work of media spectatorship’ (2006: 135). Online activities such as ‘second screening’ (see Giglietto and Selva, 2014; Kjeldsen, 2016) while watching streaming entertainment generate veritable torrents of data, providing insight into user behaviour, preferences, action and sentiment. The present article will demonstrate how data derived from social media services – in this case, Instagram – can be employed to uncover hitherto hidden processes of media spectatorship. Based on the combination of perspectives from second screening studies with approaches deriving from fan studies, this study introduces a new method which we argue will help to further analyse and understand media spectatorship – more specifically, television fandom. By combining quantitative analysis of social media data with qualitatively informed textual analysis, the study at hand makes a clear contribution to the broader fields of academic study mentioned above.
For our purpose ‘fandom’ will be a crucial concept. We opt for an understanding of fandom ‘as the regular, emotionally involved consumption of a given popular narrative or text’ (Sandvoss, 2005: 8). Reception studies inspired by perspectives on fandom and cultural studies have mainly relied on qualitative methods, such as in-depth interviews and ethnographic approaches. This work typically focuses on the user and, as a consequence, tends to place less attention on the media texts with which the users engage. To this end, there are a dearth of studies that employ other types of methods, including quantitative varieties, in combination with qualitative inquiry, as a means to detail the
Jenkins et al. (2013) point out that the media is transitioning: from a model of distribution to a model of circulation, where the audience itself takes part in spreading media content through networked communities. Our case study – the online serial,
As previously mentioned, our main contribution to the debate is the development of what we label
Skam on Instagram: Introducing the case study
With regards to data collection, our focus on tracing
With a billion monthly users, Instagram is one the most popular social media platforms in the world. As a social media platform, it brands itself by stating in the Google and Apple app stores that it ‘is a simple way to capture and share the world’s moments. Follow your friends and family to see what they’re up to, and discover accounts from all over the world that are sharing things you love’. This indicates two things: Firstly, the description and the name of the medium emphasise that Instagram is supposed to be instantaneous, content to be shared in the moment. While Manovich (2017) demonstrates that this is not always the case, the platform nevertheless gives the impression of being in the moment: for instance, by means of the use of the hashtag #lategram for photos not posted instantly. Secondly, the description supposes personal engagement by stating ‘share the things you love’. This platform is as such created to be a (re)active social media one, where users share photos of things and events that engage them in the moment. (Though of course, as for many similar services, Instagram use is not necessarily bound to this intention.) Instagram has become a key platform for creating and consuming visual culture and is also a site for grassroots fan cultures and one where fans post images and memes from the series they love. Most research on Instagram has been done within computer sciences (Manovich, 2017: 21) and those studies applying qualitative methods focus on aesthetics, like Manovich’s
Quantitative, large scale data analysis and reception aesthetics as methods
Livingstone and Das suggest that ‘while there has been a general recognition that it is possible to converge these methods [referring to qualitative and quantitative reception methods] in some projects, very few have actually succeeded in such an attempt’ (2013: 22). While quantitative methods can help us gain insights into the overarching characteristics of data, such approaches also serve as starting points to more qualitative endeavours. In that they can help in identifying cases of specific relevance and interest, cases that can subsequently be assessed by means of qualitative methods. This article, then, demonstrates how combining different methods is not only possible but key if we want to further our understand the growth of the audience on social media, as well as of audience engagement with television texts through such platforms. Specifically, we adopt what Creswell (2014) labelled an exploratory sequential mixed methods approach, wherein cases of specific interest identified in the overarching quantitative findings are explained in further detail using qualitative methods.
What could be referred to as more traditional forms of quantitative media and communications research often include applications, such as quantitative content analysis (Krippendorf, 2004), or surveys (Lavrakas, 2008); however, the study of online activities, such as on social media, has in some cases made it possible to employ quantitatively informed approaches to studying traces of actual behaviour – in this case: media user behaviour (see Hargittai and Sandvig, 2015). Indeed, Burrows and Savage contend that ‘the majority of sociological methods – other than those based upon direct observations of actions – rely upon
Reception studies and, more specifically, fandom studies often present ethnographic observation and in-depth interviews as the preferred method (see Jenkins, 1992; Morley, 1992). As Sandvoss (2007) argues, fan studies, inspired by post-structuralism, has tended to operate from the notion that there are no texts, only readers. Hills elaborates further on how studies of audiences have also tended to take precedence over the textual analysis of television texts. Television studies has frequently taken the audience as its starting point arguing that meanings of texts are not self-evidently ‘just there’, but have to be produced by audiences in their social/cultural contexts. (2006: 93)
For our study this way of thinking is undertaken by means of archiving all Instagram posts carrying the #Skam hashtag, indicating content related to the show under discussion. This data was next made subject to a series of analyses in order to detail the growth of popularity, identifying, among other things, the specific moments during the four seasons that emerged as especially poignant for those engaging with
As previously mentioned, we are inspired by approaches adopted by scholars looking into ‘second screening’, where a ‘secondary device’ such as a mobile phone with the Instagram app ‘is used for comments about programs’ (Giglietto and Selva, 2014: 260). We look at how Instagram fandom and reception is fashioned by means of what McKinney et al. (2013) call ‘social watching’, meaning discussing a mediated text while essentially simultaneously building a community around such texts, reminiscent of what Fiske referred to as ‘audiencing’ (1992).
We collected all Instagram posts carrying the ‘#Skam’ hashtag posted during the entire duration of the series – from 22 September 2015 until 6 June 2017. A common but not necessarily unproblematic basis for data collection in studies like this one, hashtags can perhaps most easily be described as thematic keywords that allow users to easily identify posts of specific interest to them. A drawback of this approach is, of course, that any
Data collection from social media services such as used in this study usually involves the more or less automated querying of one or more application programming interfaces (henceforth APIs). Often described as a back-end or ‘under-the-hood’-route to a series of online services, APIs are also important for researchers in that they allow for data to be collected from the service and subsequently analysed (Lomborg and Bechmann, 2014). The service used for data collection was MagiMetrics, a now-defunct commercial service that allowed for the archiving of Instagram posts based on search criteria such as the #Skam hashtag employed here. In total, the service returned 375,070 posts (including various forms of metadata) carrying the specified hashtag that had been posted during the previously specified time period. Data analysis is performed once more utilising both quantitative and qualitative approaches. Specifically, our approach involves utilising large-scale analyses of all 375,070 collected posts in the data visualisation application Tableau as a way to identify pivot points or peaks, suggesting periods of heightened audience interest. Subsequently, these peaks were scrutinised in a more qualitative fashion through textual analysis of style and narrative in order to understand the viewer engagement in light of aesthetic characteristics.
The notion that aesthetics matter in terms of meaning-making and that stylistic choices and narrative form facilitate preferred readings, has, as Sandvoss argues (see above), been criticised over the last decades, thus our use of reception aesthetics should be addressed before progressing further. Web series are usually distributed as short segmented clips rather than episodes. As Creeber argues, web series aesthetics marks ‘a reaction against the increasingly “professional” quality of the digitied screen, the webcam aesthetic inspiring the Internet to try and reclaim the original intimacy of television by returning it back to the low-grade “liveness” of the early medium’ (2011: 603). Web series can be understood as a return to the earlier form of episodic and segmented form of television, as described by Ellis (1982), and diverges from the complex, flexi-narrative serial described by among others such as Mittell (2006, 2015), Nelson (1997) and Dunleavy (2017). Flexi-narrative programmes offer soap-like narratives and intertwining storylines in hour-long dramas (Nelson, 1997), and are characterised by Nelson as follows A number of stories involving familiar characters in familiar settings are broken down into narrative bytes and rapidly intercut. Any lack of interest of an audience segment in one set of characters or storyline is thus not allowed to last long as another story with a different group of characters is swiftly taken up, only in turn to give way to another before taking up again the first narrative, and so on in a series of interwoven narrative strands. (1997: 32–33)
Smith (2018) argues narratives are shaped by media, economic, national, audience, institutional and technological specificities that facilitate distinct narrative structures.
Produced by NRK,
Taking the above into account we began by conducting an analysis of narrative structure and explored how the peaks corresponded with the most significant narrative events or incidents in Isak’s character journey, or what Chatman calls ‘kernels’, ‘narrative moments that give rise to cruxes in the direction taken by events […] Kernels cannot be deleted without destroying the narrative logic’ (1978: 52). A ‘kernel’ can be understood as a disturbance of status quo, the event that sets off a chain of new events. In the case of season three, this would involve events forcing Isak to choose between his ‘wants’ and ‘needs’.
Having identified these key moments, we conducted an analysis of style – the use and choices in
To put it simply, while triangulation of methods ‘usually implies that the researcher seeks primary data about a research question in two (or more) different ways’ (Schrøder, 1999: 50), there are also other possibilities for combinations. Based on the description above, we used the different methods as auxiliary to each other (Schrøder, 1999). Specifically, in what follows, we first use quantitative approaches to identify time periods of heightened audience activity. Next, we move on to analyse these events in more detail by means of qualitative approaches. Finally, these qualitative analyses are complemented by more fine-grained quantitative analysis, looking into the hashtags and emojis associated with the events as mentioned earlier. As such, our approach can perhaps be described as a mix of the two main formats of triangulation as discussed by Schrøder (1999).
By combining quantitative analysis and textual, qualitative analysis into what we term
Quantitative reception aesthetics in practice
As the above illustration (see Figure 1) demonstrates

Timeline of #Skam use throughout all four seasons of the Skam series.
If we extract and focus on the data for season three (see Figure 2), fan engagement is seen to steadily increase in distinct peaks of engagement. The ‘real time’ distribution featured in the studied series meant that

Timeline of #Skam use throughout Season three of Skam with five significant pivot points visible on the timeline. Peak numbers start from number 2 to correspond with data shown in Figure 1.
Narrative engagement
By applying an analysis of style and narrative of the relevant text at the time of these pivot points, we could start to conceive of how the relationship between text and audience engagement functioned. Next we went on to explore the peaks of engagement identified in Figure 2, by conducting a more detailed analysis of narrative structure and the narrative significance of clips corresponding to these peaks. At first glance, it seems as if each peak coincides with major narrative events with a 1 to 2-day time lag. The time lag between peak and clip appears to decrease as the narrative tension intensifies and the fan-subtitled clips were released more swiftly as the
Taking a closer look at the peaks identified in Figure 2, peak two ‘Vært litt spes i det siste’ marks Isak coming to terms with his sexuality. In terms of being a plotted event, this clip gives resolution to his personal conflict based on his sexuality. However, the clip also opens up a new conflict where he is now completely free to pursue Even, and a new question thus arises as to whether the interest is reciprocal. In ‘Slutt å meld meg’ (peak three in Figure 2) users learn that Even is indeed interested in Isak. After the latter struggles to ask him out via a text message, Even suddenly appears on Isak’s doorstep and they have sex for the first time. ‘15:15-01:01’ (peak four in Figure2) marks the largest crisis in the relationship between Isak and Even. Isak finds out that Even has mental health issues when runs naked into the street in the middle of the night. The question arises: can they be together? and can Isak accept Even’s mental condition? Viewers know that Isak’s mother is mentally ill and, because of this, he has problems dealing with mental illness. ‘O helga natt’ (peak five in Figure 2) is the narrative climax of the season, where Isak decides to continue his relationship with Even regardless of the latter’s mental health. The last clip – peak six in Figure 2 – marks the end of the season and offers a narrative resolution and happy ending to Isak and Even’s love story.
The narrative structure of

Visualisation of the three-act classic narrative structure as popularised by Robert McKee (1997) in Story: Substance, Structure, Style and the Principles of Screenwriting. Engagement peaks from Figure 2 superimposed on original image so as to show the relationship between the Skam engagement structure in relation to McKee’s model.
The viewers of
Emotional aesthetic
The captioning for each Instagram post usually displays an emotional response either by the poster writing about their feelings or by means of emojis. To further understand the nature of the emotional engagement, we collected the emojis used in the captioning following all the posts accompanying the clips ‘15:15-01:01’ and ‘O helga natt’. The emoji has become a regular part of social media communication and can be understood as a sort of universal language, though some double meanings, like the peach or the leaf, might exist in different cultures. According to Danesi (2017), the function of emojis are twofold: phatic and emotive. Emojis are, in other words, used to convey a more intimate form of communication, as well as conveying the emotional state of the user. In the context of this article, emojis are seen as symbolising different emotional states (see Danesi, 2017). Thus, we argue that analysing emojis allows us to understand what kinds of emotional responses

Diagram of emojis used in the Instagram posts captioning on posts with the Skam hashtag on December 2–3 and December 9–10.
As seen in Figure 4, the most popular emojis for both clips are the heart eyes, the red heart, the face with tears of joy and the loudly crying face. The two-heart emoji is slightly more popular than the face with tears of joy in the comments for ‘O helga natt’ (see Figure 4). Overall, though, the most popular emojis consists of hearts in different shapes and colours. Adding them together, 327 hearts were applied by users in their post captions ‘15:15-01:01’ and 732 hearts employed in the ‘O helga natt’ captions. The frequent use of heart emojis and the tears of joy and heart eyes emoji can be seen as an indication of users wanting to express their love for
Going beyond the most popular emojis and comparing the two clips in more detail, the fifth most popular emoji for ‘15:15-01:01’ is the broken heart emoji with 74 occurrences. In comparison, it was only used 21 times in the ‘O helga natt’ captioning. Here it is also relevant to point out that ‘O helga natt’ in general generated more emojis than ‘15:15-01:01’ with respectively 2508 to 1529 emojis and numbers were adjusted for percentage usage. The weary face and See-No-Evil monkey are more popular as a reaction to ‘15:15-01:01’ than ‘O helga natt’ if we adjust for total emojis with respectively around 1.5 per cent versus 0.5 per cent of the total of the top emojis studied here. For ‘O helga natt’, the emojis that stand out are symbols of gay love like the rainbow (32 times) and the men holding hands emoji (25 times). We will now analyse the use of emoji against that of style and tone in the two clips.
Film scholar Affron (1982) argues that image, pace and framing all facilitate an affective response in the viewer. In other words, style creates emotional attachment and affect. Thus, these clips do not stand out only in terms of narrative, as both also feature distinct aesthetic choices usually applied to increase engagement and create affect. For instance, ‘15:15-01:01’ begins with Isak writing a text to his religious mother where he comes out as gay. He meets Even, they check into a hotel suite together and have sex. Later, it becomes apparent that something is not right with Even, as he behaves more and more erratically and incomprehensibly. As Even’s behaviour becomes more incomprehensible to Isak, the visual style becomes more fragmented and incoherent. Thus, the clip is shot and edited to underline Isak’s state of mind. It begins with an establishing shot (8 secs) of Isak sitting in a coffee shop. The next is a medium close-up of Isak writing a text to his mum. This is a static long take with only the handheld camera making subtle movements and lasts for over 2 minutes, mirroring the steadfast conviction Isak finds in coming out to his mum. The calm long take is in sharp relief to the fast editing, time ellipsis, jump cuts and erratic handheld camera movements in the latter half of the clip, as Even becomes more manic and Isak increasingly confused. The disorienting fast editing pace creates tension, but also intimacy inviting the viewer into Isak’s state of mind. Donaldson argues that ‘the cameras’ reactive relationship to physicality, to movement and change appeals directly to a sensory viewing experience’ (2013: 213). She writes about The Shield’s (2002–2008) documentary style: ‘The shaky movement and its rhythmic intensity encourages the feeling of being ‘in’ the action’ (Donaldson, 2013: 213). The point of view and style of ‘15.15-01.01’ thus aligns the viewer with Isak’s emotional state, increasing emotional engagement. The uses of the broken heart emoji, the weary face and see-no-evil-monkey can be read as emotional reactions to this clip mirroring its style and tone as well as Isak’s reactions. The broken heart emoji indicates that the viewers felt as devastated as Isak by the turn of events. The weary face is commonly used to convey feeling emotions of frustration and sadness and the see-no-evil monkey is usually used to express disbelief and not wanting/daring to look. As such, both emojis reflect the tone on which the clip ends, achieved through its stylistic means of disorientation and shock heightening emotions of disbelief, frustration and sadness.
The emoji use in the Instagram comments increases almost 50 per cent accompanying posts related to the ‘O helga natt’ clip. The spike in use of emojis further underlines the clip’s status as the narrative and emotional climax of the season. The loudly crying face is the most popular emoji being used 392 times. The large number of emojis, in particular use of hearts, indicate that the viewers are expressing their love for the show.
Soap opera is often understood as a form of televisual melodrama – a women’s genre for television (see Kuhn, 1997) – and

Isak running out of the Church. Screen grab from NRK.
The narrative closure of Isak and Even becoming a couple is key to understanding the emotional impact generated by the clip, as it ends Isak’s journey with him choosing his deepest need. However, the melodramatic style and tone of the clip is also designed to arouse emotions, with stylistic choices long established conventions used to facilitate strong emotional responses. Indeed, as Peterson argues, the style of
As demonstrated above, the timeline of season three corresponds with the classical narrative structure. Moreover, style is used to facilitate textual engagement. As already argued, the use of emojis is in accordance with that in other contexts (Danesi, 2017) and is likely to be a sign of emotional response and engagement. These posts largely consist of memes inspired by the show – images and videos taken from the show with superimposed text and a frequent use of emojis in the captioning. Thus, posting must be understood as a reactive action. In that the intent seems to be either to share the show with other people yet to discover the series and/or to share with the community how much the Instagram poster loves
Conclusion
This study suggests that (web)television engagement on Instagram is linked to aesthetics and narrative events and that textual engagement is more universal than perhaps post-structuralist reception studies has so far acknowledged. This does not mean that fans are passive or fail to engage in individual readings – indeed, as Gorton (2009) argues, emotional engagement often proves otherwise – but instead that the viewers’ level of emotional engagement on social media can be understood as a shared response to a text’s aesthetic climaxes that can, to some extent, be generalised. Iser contends that one needs to understand the structures of a text to delineate an implied reader, or rather, as he writes: ‘The concept of the implied reader is […] a textual structure anticipating the presence of a recipient without necessarily defining him’ (1978: 34). The implied reader is already part of the text. As Rimmon-Kenan contends, the ‘advantages of talking about an implied reader rather than of textual strategies pure and simple is that it implies a view of the text as a system of reconstruction-inviting structures rather than as an autonomous object’ (1991: 119). The implied reader has formerly been a theoretical construct, but through quantitative reception aesthetics, the implied reader translates into an intersubjective discussion of individual interpretation (Iser, 1978: 34) through data analysis of audiences second screening practices as performed in our study. By applying quantitative reception aesthetics, it is therefore possible to discern how textual engagement plays out in a comparably larger population. Sandvoss proposes that researchers should combine reception aesthetics with fan studies, writing: To remain true to its [fan studies’] own roots our discipline needs to find new vocabulary and concepts to analyze aesthetic value in its function: the process of reading […] we need to formulate aesthetic categories that avoid the absolutism of traditional textual interpretation as much as the relativism of post-structuralism and deconstructionism. (2007: 31)
While we feel that the approach introduced above has clear merits, some caveats must be made. Firstly, we recognise that certain value systems will not allow for the celebration of gay love; indeed, one could imagine viewers protesting the portrayal of gay love and some could use the hashtag in protest. It nevertheless seems unlikely, based on the more detailed analysis of emojis and comments, that this is the case for a substantial number of viewers. Secondly, while we have utilised an analysis of emojis in order to capture the expressions and sentiments of Instagram activity during key moments in
Reception aesthetics has met criticism for not being rooted in reality and not taking the possibility of alternative readings into account (Fiske, 2006 [1987]). The meanings of texts might not self-evidently be ‘just there’, but what our study detailing quantitative reception aesthetics suggest is that audience reactions follow similar patterns to the events and emotions being portrayed on screen. We suggest that sharing the experience of affective televisual moments on social media in a model of circulation increases the communal emotional experience of the text. In turn, this allows fans to participate as part of a global community of second screening and further share their feelings. Our study illustrates that narrative structures and televisual language is engaged with universally and independently of the audiences’ social and cultural contexts, but the contexts where these emotions are interpreted are, of course, culturally and socially specific. Nevertheless, the scene of Isak choosing love is felt as strongly in Scandinavia as elsewhere of the world.
Footnotes
Acknowledgements
The authors wish to thank Prof. Espen Ytreberg for his constructive comments reading the first draft and the anonymous ICA reviewers and the colleagues at ICA that also provided valuable feedback on an earlier paper version of this article. We would also like to thank the anonymous reviewers for their constructive feedback and advise.
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
