published quarterly by the university of borås, sweden

vol. 24 no. 3, September, 2019

Modelling the information practices of music fans living in Medellín, Colombia

Alejandro Vesga Vinchira.

Introduction. Previous studies on music information behaviour have focused on describing all the different activities used when interacting with music. However, a general picture of this behaviour has yet to emerge. The purpose of this research is to model the information behaviour of music fans through the perspective of social practice theory.
Method. Qualitative method was employed, using in-depth interviews and the observation of participants' homes and practices. Eighteen music fans with diverse socio-demographic characteristics living in Medellín, Colombia, participated in the research.
Analysis. Qualitative deductive analysis was performed using a tree of categories extracted from a conceptual framework. Categories were assigned to the data, and then compared and contrasted.
Results. Information activities that comprise practices are presented as existing within continuums from active behaviour to passive behaviour. Factors that affect and influence practices are presented in four groups: personal benefits, social benefits, extrinsic conditions and worldview. A model for music information practices that integrates all these elements is presented as the main result from this study.
Conclusions. This research contributes to the ongoing discussion about music information behaviour, presenting a model that describes an information practice which has the potential to describe other types of information behaviour.


The field of music information behaviour has made significant strides in the past twenty years. Even though it is a very specific subject, several studies have been conducted, increasing our understanding of the actions and activities undertaken by people regarding music information (which includes music-as-information, but also information about music). In turn, results from this research feed into the design of applications and services that ease the discovery, retrieval, use and sharing of music around the world. Music, though mainly an entertainment and leisure pursuit, is an important part of our cultural and social lives, present in all types of societies, all ages, and all classes. Therefore, music information behaviour is present all around the world, and understanding these phenomena will lead to a better understanding of information behaviour as a whole.

The behaviour of music fans is particularly interesting, as they embody the average user of a music application or service. Fans are distinct from casual listeners (e.g., a person who turns on the radio to listen to something, but doesn't particularly care what) and amateur musicians (e.g., a person who studies an instrument and performs it for a small audience, with no financial dependence on the activity). Casual listeners have only a sporadic relationship with music, hardly engaging meaningfully with the information. Amateur musicians will likely have the same behaviour and problems with music as professional musicians, and services that cater to the latter will also benefit the former. On the other hand, fans profoundly enjoy music, interact with it constantly, and do not pursue it as a professional endeavour. Therefore, a vast section of the general population fit the category of music fans (concert attendees, music shoppers, music collectors, followers of a band or singer, etc.) and their information behaviour is unconstrained by professional practice.

Several studies have focused on music fans and their information behaviour. In very broad terms, what has been found by these researchers is the diverse array of behaviour and strategies used by fans to interact with their music. For example, when searching for new music to listen to, people can use serendipitous browsing, or monitoring or satisficing. When listening to music, people can go from random playlists to obsessively repeating one song, to listening to a whole album in its original order, or shuffling a whole playlist and skipping songs along the way. The same can be said about the collecting, organizing and sharing of music. There are different strategies and modes that music fans perform for each of these activities.

However, almost all of the studies found while reviewing the literature have only looked at a certain activity, such as searching for music or sharing it, have explored a particular setting or a specific subset of music fans, such as collectors or college students or users of a music application. But only a few studies look at behaviour as a whole, and none have been found that look at how different activities correlate with each other. Because of this, there is no consensus, model or theory that accounts for all of music information behaviour.

This paper presents a model for the information practices of music fans. This model is based on the integration of a conceptual framework and a qualitative study of eighteen music fans living in Medellín. The conceptual framework integrates three different theories: social practice, the serious leisure perspective, and the information transfer model. The study was conducted between March and July 2017, and relied on in-depth interviews and reactive observation of the music fans in their natural environment (homes, music bars, music cafes, concerts).

Conceptual framework

In order to explore and study the information behaviour of music fans, a conceptual framework was designed, based on the integration of three different theories and their underlying concepts. The theories are: 1) Schatzki's theory of social practice, 2) Stebbins' serious leisure perspective, and 3) the information transfer model proposed by Vickery and Vickery. Each of these theories puts forth a concept which was used as a building block of the conceptual framework. These concepts are, in turn: 1) the concept of social practice, 2) music fandom, and 3) information activities. These three concepts are elaborated and explained presently.

A practice 'is an open-ended, spatially-temporally dispersed nexus of doings and sayings' (Schatzki, 2012, p. 14). They are sets of activities, centred on a common theme or object, and organized by understandings, rules and normative teleologies; the author gives some examples of practices in fields such as cooking, politics, manufacturing, football, dating, and horse breeding (Schatzki, 2010, p. 129). Practices are performed in community, are social by nature, and though everyone has their own practices, these intersect and merge with one another, giving rise to social life, and human coexistence.

In order to better understand a leisure or hobby activity such as music fandom, another theory was selected, dubbed the serious leisure perspective (Stebbins, 2006). In it, all leisure activities are classified according to the seriousness of the endeavour, and the qualities, benefits and characteristics of these pursuits are described. This theory also helped to define music fan as a conceptual category. A music fan is any person who enjoys music on a daily basis, has a profound emotional attachment to music and has no professional relationship to music. The music fan may share his own music or performances, but only with an inner circle of friends and close relatives, not strangers or public venues, as that is the domain of the amateur musician. Leisure activities have traditionally not been as widely studied in information science as academic or professional activities, but a few authors have engaged with these concepts and proposed leisure as a rich avenue for information scholars. In particular, Jenna Hartel has published several papers in which the domains of leisure are explained and how information is involved in each of them (Hartel, 2003, 2005, 2011, 2014; Hartel, Cox and Griffin, 2016).

Information activities are described in Vickery and Vickery's model as different steps or processes that information organizations perform in order to achieve their different goals. For example, libraries perform such activities as selecting, collecting and organizing information sources. Authors and researchers undertake activities such as composing, writing and editing manuscripts (Vickery and Vickery, 2004, p. 10). The activities described by this model can be readily adapted to describe the activities performed by a fan regarding the music information which they listen to and enjoy.

The intersection of any two of the concepts previously elaborated gives rise to other new concepts, which are the information activities of music fans, hobbies considered as social practices, and finally, information practices. The concept of information practice has been previously discussed in the library and information studies literature, and has mainly been proposed as an alternative to the more common and established term of information behaviour (Olsson and Lloyd, 2017; Savolainen, 2007; The behaviour/practice debate: a discussion prompted by Tom Wilson's review of Reijo Savolainen's Everyday information practices: a social phenomenological perspective, 2009). However, it has also been argued that this is not merely a terminological change, but a new perspective from which to observe and study the same phenomenon. The practice has been proposed as a new 'interpretative lens' (Huizing and Cavanagh, 2011) and as a way to bridge hitherto separated and opposing views, such as objectivist theories focused on overarching structures and subjectivist theories focused on the individual and its actions upon the world. Social practice sees individual action and social structure as co-constitutive of each other, and as a concept can enrich and open up new avenues of research in information science (Huizing and Cavanagh, 2011).

However, there is yet no consensus achieved within information science about the concept of information practice to be used in research studies, which practice theory to ascribe to, and whether information practice supersedes and replaces information behaviour, or if the two concepts are still valid and related to each other. Pilerot, Hammarfelt and Moring (2017) have found a diversity of approaches, both theoretical and methodological to the information science literature that have engaged with the concept. Cox (2012) proposes the use of 'information in social practice', as all practices contain elements and activities involving information. Lloyd (2010) uses the concept and argues that information literacy is an information practice dispersed between and within other practices such as teaching, learning, reading, etc. As such, the author reframes information literacy not as a set of skills, but as activities which produce and reproduce such skills. In 'The behaviour/practice debate: a discussion prompted by Tom Wilson's review of Reijo Savolainen's Everyday information practices: a social phenomenological perspective', (2009) various authors argue both in favour and against information practice as a valid term to conduct research with. Wilson views behaviour as a general, umbrella term, and practices as a mode of habituated and routine behaviour. Mary Cavanagh intervenes and contrasts behaviour as discrete, individualised actions, and practices as open-ended and continuous. Moreover, practices are seen as directly connected with social aspects, and as inherently social. Even though they may be performed by individuals, they are always part of the social world, and are the building blocks of social life (Olsson and Lloyd, 2017; Schatzki, 2010, 2012).

In the present study, the practice theory of Schatzki was selected, and therefore an information practice is defined as a social practice, that is 'an open-ended, spatially-temporally dispersed nexus of doings and sayings' (Schatzki, 2012, p. 14), where those doings and sayings are information activities. As such, it is presently proposed that information behaviour and information practice are related but not interchangeable concepts. Information behaviour denotes all and any human action that deals with information, so it is possible to distinguish specific actions such as reading, selecting information, transferring information, analysing information, etc. Actions can then be organized into tasks, tasks into activities, activities into projects, and various projects and isolated activities are interwoven into practices. The information actions are the building blocks, but the information practice is the whole structure of activities which are organized by 'practical rules, understandings, teleoaffective structures, and general understandings' (Schatzki, 2012, p. 15). These practices are part of other professional, academic, leisure or everyday life practices. Each person will have their own information practice, composed of several information activities, which are in turn composed of specific information action.

The intersection of the three underlying concepts gives rise to the object of the study presented in this paper: the information practices of music fans. This conceptual framework is presented as a diagram in Figure 1.

Figure 1. Conceptual framework devised for analysing the information practices of music fans.

Previous studies

A sizable number of studies have looked at the information behaviour of music fans in different settings and with different characteristics. However, only a handful of these have used a model to analyse and describe their findings.

Cruz (2008) proposed a new model based on models by previous authors, such as Wilson, Choo and Calva González. This model focuses exclusively on information needs, and sees information behaviour as a monolithic block, and the study carried out only explored how music fans solve their information needs, e.g., how they search for music to listen to. Similarly, Laplante (2008) proposed a slight variation on Wilson's 1996 model of information seeking, and with this new model in mind explored the habits and strategies used by fifteen young adults in Montreal. Margree, MacFarlane, Price and Robinson (2014) inched closer to an understanding of behaviour as practice, e.g., as a set of interlinked activities, not separate actions. This study was based on the serious leisure perspective (Stebbins, 2006), and on the theory of everyday life information seeking (Savolainen, 2005) and looked at the practices of eight record collectors in the Greater London area. However, the study focused mainly on the activities of collecting, and did not mention how different actions relate to each other. For example, if collecting extensively is also found in people who share their music widely among their friends, or if collectors tend to be more selective about their sharing patterns.

This type of analysis is the missing piece in all of the studies found during the literature review. Most of them focus on only one information aspect or one information activity. Along with Margree et al. (2014), many focus on collections and collectors, their motivations and organization schemes, as well the preferred formats, both digital and physical (Brinegar and Capra, 2010; Cunningham, Bainbridge and Bainbridge, 2017; Cunningham, Jones and Jones, 2004; Cunningham and Masoodian, 2007; Giles, Pietrzykowski and Clark, 2007; Greasley, Lamont and Sloboda, 2013; Kibby, 2009; Shuker, 2004, 2010; Vignoli, 2004). Related to collecting, a few studies deal with the way people acquire music, either as downloads (Kinnally, Lacayo, McClung and Sapolsky, 2008; Lenhart and Madden, 2005), or as purchasing decisions (Keown, 2016). Listening styles, moments and devices have also been studied (Bentley, Metcalf and Harboe, 2006; Boland and Murray-Smith, 2014; Cunningham, Downie and Bainbridge, 2005; Leong, Howard and Vetere, 2008; Lonsdale and North, 2011; North, Hargreaves and Hargreaves, 2004), with some focusing on the portable MP3 player (Bull, 2005; Peláez, 2010). How music is discovered, searched for and the metadata used by fans to search for a particular item is also important in the literature (Cruz, 2008; Cunningham, Bainbridge and McKay, 2007; Cunningham, Reeves and Britland, 2003; Ferwerda, Yang, Schedl and Tkalčič, 2015; Laplante, 2008; Lee, Cho and Kim, 2016; Lee, Downie and Cunningham, 2005; Taheri-Panah and MacFarlane, 2004). A few studies have looked at how music is shared, particularly how 'opinion leadership' shapes music recommendations (Laplante, 2010, 2012), the role of social media (Laplante, Bowman and Aamar, 2017; Lee, Park, Kim, Kim and Moon, 2011; Lingel, 2010) as well as other applications used to share music (Amoroso, Dembla, Wang, Greiner and Liu, 2008; Brown, Sellen and Geelhoed, 2001; Voida, Grinter, Ducheneaut, Edwards and Newman, 2005).

Some have looked into two main activities at once, for instance seeking and collecting (Peláez, 2010; Rasmussen, Neal and Conroy, 2012), listening and collecting (Kamalzadeh, Baur and Möller, 2012), listening and seeking (Legault-Venne, Laplante, Leblanc-Proulx and Forest, 2016), and also creating and sharing, in a study about a community of tapers and traders of live music performances (Nieckarz, 2005).

Only a handful of studies have examined several types music information behaviour at once. Nettamo, Nirhamo and Häkkilä (2006) compared the behaviour of music fans living in New York and in Hong Kong, using a three-day photo diary kept by the participants. The authors looked at how people discover, acquire, manage and consume music. Brown, Geelhoed and Sellen (2001) interviewed three different groups: young users of physical music media, adult users of the same type of media, and a group of heavy MP3 users. Among these populations they compared several actions integrated into a concept dubbed the 'music lifecycle'. These activities included finding out about music, copying and compiling, buying, listening, choosing and organizing, and collecting music. Sease and McDonald (2009) adopted the concept of media lifecycle to their study of how twenty-four people living in households interact with their own music and the music of the people they live with. Chamberlain and Crabtree (2016) examined the activities of five households in the United Kingdom, including the discovery, acquisition, processing and cataloguing of music, and focusing on the use of metadata for each of these activities.

A summary of the different music information actions found in the studies is presented in Table 1, organized using the information transfer model (Vickery and Vickery, 2004, p. 10).

Table 1. Music information actions reported in previous studies.
Information activityInformation actions
  • Sources: friends, relatives, music stores, libraries, music applications
  • Receiving and/or asking for recommendations from friends and acquaintances
  • Going through other people's collections
  • Systematic scanning in stores or libraries
  • Serendipitous browsing
  • Shuffle mode in own collection
  • Serendipity, accidental find
  • Passive attention
  • Monitoring
  • Pre-selection
  • Specific search: artist, title, lyric
  • Filtering: genre, mood
  • Searching for information about music
  • Satisficing
  • Mood management: modification or matching
  • Reading information about music
  • Group listening: parties, reunions, cars, concerts
  • DJ role: controlling music in a social setting
  • Passive behaviour:
    • Skipping songs
    • Shuffle mode
    • Thrashing: obsessive repetition
    • Casual and convenient listening
  • Active behaviour:
    • Undivided attention
    • Complete album in original order
    • Playlists
    • Individual song selection
    • Guilty pleasures
  • Purchasing in physical and online stores
  • Illegal download
  • Trading (Blanks and Postage)
  • Copying and transferring
  • Collecting physical and digital media
  • Compilation of playlists
  • Compilation of songs on streaming services
Organization and control
  • Creating a catalogue or list
  • Systematic organization
  • Customized playlist
  • Metadata correction
  • Communal or shared collections
  • Collection image management
  • Simple organization
  • Organizing via app
  • Chaotic style, unorganized
  • Classification categories:
    • Genre
    • Use (most played, least played)
    • Artist
    • Mood
    • Situation
    • Others: date, event, album, country
Compilation of aids
  • Creating a catalogue or list
  • Music is shared with: friends, relatives, spouse
  • Posting in social media
  • Group listening
  • Gifting music (original or mixtape)
  • Recommending music
  • Posting an entire collection (via iTunes)
  • Trading
Formal and informal transference
  • Composing texts about music
  • Giving lectures
  • Informal conversations
  • Belonging to a community of fans
Creation, recording and publication
  • Creation of playlists and mixtapes
  • Amateur composition
  • Original research
  • Recording live concerts

All of the previously mentioned studies presented their findings as isolated activities, each one analysed and discussed separately. Readers are left to wonder if a particular action is related to other actions. For example, if fans who like to listen in shuffle mode also have a meticulous organizing scheme, or if searching actively for music is present only in people who collect heavily.

Promising results in this regard stem from Lee and Price (2015), who interviewed forty university students that used a music service or application. The authors classified the students according to their typical behaviour, and seven personas were drawn from the results. These personas are groups of users that exhibit similar behaviour and that have similar levels of investment in music and of sociability. These seven personas were tested in a large sample of young people, and it was determined that some overlap between personas existed (Fuller, Hubener, Kim and Lee, 2016). Both of these studies looked at several actions, such as how people discover music, how they listen to it, how they share it, and how they create playlists as an organizing and listening strategy. However, they are both limited in the sense that the studies only looked at how people behave within music services and applications. The authors did not investigate whether the music fans also engaged with music in other ways, such as collecting, purchasing, gifting it, sharing it on social media, or listening with other devices and mediums. In other words, they only investigated a subsection of the whole of the music information practice, that which deals with a music service.

The model presented in this paper aims to provide a global description of an information practice, including all possible information activities and actions, and how they can be described in each of the music fans studied.


This study relied on qualitative methods to gather the data, and had an exploratory and descriptive scope. It included elements of the ethnographic, conversational and biographical approaches, as it intended to witness the information practices as they naturally occur and change within and throughout the lives of the music fans. Between March and July 2017, in-depth personal interviews and reactive observations were conducted in the natural environments of the music fans, including music bars, cafes, concerts, and mainly the homes of the participants.

To gather the participants, it was decided to recruit only fans of either tango music or metal music. Working with two wildly different genres garners some methodological advantages. It allows for a diverse sample that mixes different characteristics such as age, gender, and socio-economic status. It facilitates conversation with the music fans, as they are eager to talk about their particular genre, and it eases the process of finding and selecting willing volunteers from an extremely large population (all music fans in a given area).

Non-probabilistic snowball sampling was used to select the participants, beginning with the author's personal contacts, who in turn contacted other music fans, and these as well led to more willing participants. A total of twenty music fans living in Medellín, Colombia, participated in the study. Of these, two were excluded from the analysis as it was determined that the information gathered from them was insufficient. The characteristics of the study participants are presented in Table 2.

Qualitative deductive analysis was performed, extracting categories from each of the three main theories (see Figure 1), assigning categories to the data (interview transcripts and observation notes), and looking for similarities, differences and common themes. For instance, each of the information activities from the information transfer model (Vickery and Vickery, 2004, p. 10) was turned into a category, and each time these categories were mentioned in the texts, a marker was placed, so it was possible to read all the fragments about a given category and also about each participant. The same procedure was carried out with the concepts found in the other two theories, social practice theory (Schatzki, 2010, 2012) and serious leisure perspective (Stebbins, 2006), which became the social and personal factors explained in the Findings section.

Table 2. Socio-demographic characteristics of the study participants. Age groups were classified as follows: Young, 20-30 years old, Adult, 30-50 years, Senior, 50 or more years old. Social strata were determined by observation of participants' homes and neighbourhoods.
Code Music genre Age group Social strata Sex
M1 Metal Young Lower Male
M2 Metal Young Lower Male
M3 Metal Young Lower Female
M4 Metal Young Lower Male
M5 Metal Adult Higher Female
M6 Metal Young Lower Male
M7 Metal Young Lower Female
M8 Metal Adult Higher Male
M9 Metal Adult Lower Male
T1 Tango Senior Higher Male
T2 Tango Adult Higher Male
T3 Tango Senior Higher Female
T4 Tango Young Lower Female
T5 Tango Senior Higher Female
T6 Tango Senior Higher Male
T7 Tango Senior Lower Female
T8 Tango Young Lower Female
T9 Tango Senior Higher Male


This section presents the findings from the study, and how these findings contributed to the design of the final model. These findings are divided into three sections: information activities, personal and social factors, and practices.

Information activities

Although the information transfer model (Vickery and Vickery, 2004, p. 10) presents different groups of activities, it was determined that merging some of these groups together helped to better describe the behaviour of music fans. Only six main information activities were left in the final analysis: 1) information retrieval (searching and looking for music), 2) information use (listening to and enjoying music), 3) information collection (gathering and acquiring music), 4) information organization (cataloguing and sorting), 5) production (creating or composing music or music related information), and 6) distribution (sharing and transferring music).

For each of these six activities, the music fans displayed a wide and diverse array of actions, most of which have been previously described in the literature. One of the main findings of this study is that these actions can be viewed as existing on a continuum. At one end of the continuum active behaviour, and at the other end are actions that are more passive in nature. Each of these end-points is an extreme and each have been named descriptively, in order to better illustrate the complexities of behaviour. Any specific action can be placed in a position alongthe continuum, depending on its own features, whether it is more active or more passive. Although this dichotomy has been previously described (Boland and Murray-Smith, 2014; Hagen, 2015; Leong, Howard and Vetere, 2008), no other study has described all of the information actions of a person as existing within these continuums.

The six main information activities and the corresponding end-points of each of the continuums are shown in Table 3.

Table 3. Information activities and the end-points for each of the continuums.
Information activity Active end point Passive end point
Retrieval Discovering Remembering
Use Control Freedom
Collection Accumulating Letting go
Organization Order Chaos
Production Creating Consuming
Distribution Giving Receiving

As shown in the previous paragraphs, the study participants exhibited different actions for each of the information activities. Some of these behaviours skewed towards an end-point of a continuum, others stayed in a position in the middle. Since each activity is composed of a series of actions, the conjunction of all these actions produced a position within each activity continuum. For example, a person who collects heavily will skew towards the accumulating end-point of the Collecting continuum. But a person who sometimes gathers music on their phone, but not excessively, will be placed somewhere in the middle. A qualitative analysis was performed for each of these music fans, and a position was selected within each of the continuums, either skewing towards the active end-point, the passive end-point, or somewhere along the middle. These positions are shown in Figure 2, for all of the study participants.

Figure 2. Positions within the continuums for the information activities found in the study participants.

Figure 2 shows that, in the small sample explored in this study, there are no two music fans that are exactly alike. Each person is unique and their information practice is a unique construction that does not follow a preset pattern or prototype. This is an interesting finding, as it leads to the question whether it is possible to find recurring patterns or typical practices in larger samples. This finding is confirmed and compounded by the next one, regarding the social and personal factors that underpin these behaviours.

Social and personal factors

These factors were derived from concepts mentioned within the theories of social practice and the serious leisure perspective. After analysing the data obtained from the music fans, the factors were grouped in four main categories. For each of the study participants it was determined which factors were present in their practices, and which ones had a driving influence, presented in Table 4.

Table 4. Social and personal factors that influence the information activities and behaviour. Factors with a normal influence are coloured in grey, factors with a major influence are coloured in red.
Personal benefitsSelf-enrichment                  
Mood management                                    
Social benefits Social interaction                                    
Group identity                                    
Extrinsic conditions Organizations                                    
Life history                                    
Worldview General understandings                                    

A brief definition of each of these factors is presented, and how they can affect and influence the way activities are carried out within an information practice.

Personal factors have a more important influence on practices than social factors, which confirms findings from previous studies (Bawden and Robinson, 2011, 2013; Keown, 2016). Particularly, factors in the worldview category were found to be the ones that shape the activities and actions in most of the practices studied. Worldview includes the values, general understandings and lifestyle of the participants. For example, an anti-materialistic set of values was found in a tango music fan (T8) that preferred to let go, choosing not to collect music at all, neither in digital or physical formats, and had a spontaneous style of information practice. General understandings are abstract senses of the worth, value, nature, or place of things and activities. M9, and adult metal music fan, spoke in terms of the importance of this genre in his life, and how most of the lyrics are imbued with a sense of freedom, of independence from constraints, and of breaking down barriers and choosing your own path.

Music becomes a way to assert this general understanding and integrate it within his own life; it affirms a sense of self and a way of understanding the world. This general understanding affects the information practice, as M9 ritualizes his music listening habits, every Friday is spent bar-hopping with his wife and meeting up with friends who share his taste in music. It also affects his music listening etiquette. When he is at home alone he plays metal music loud, but if he is in the company of others he respects the differing tastes and knows that metal music is often not agreeable to a lot of people. The freedom to choose is thus tempered by the freedom of others to choose as well, and it's this general understanding, along with several other factors, which configures his whole information practice.

Lifestyle was found to be the most pervasive factor that affects and configures all the practices examined in this study. A lifestyle is a certain way of carrying out everyday activities. Lifestyle can change radically through a person's life, marked by changes of occupation or of living arrangements, such as retirement, moving to another city, moving out from the family home, etc. It was found that all practices are deeply interlinked with the fans current lifestyles, and further questioning revealed that often practices change as a lifestyle changes as well. For example, all the information activities of T1, a retired mathematics teacher and collector of music records, are interwoven with his lifestyle as a retiree. Listening to music is often done in the company of his wife, who paints while he sits down to organize his collection. After a while, they will sit down together and enjoy a glass of wine, cheese and salted meats. And so on, every one of the study participants integrates their music information practice into their lifestyle. Practice is part of a lifestyle, as the activities that make up a practice are deeply personal and finely tuned to the way each person goes about their everyday life. A person who has an organized lifestyle will have an organized information practice, a person who has a chaotic lifestyle will have a chaotic practice, etc.

A model for music information practices

Both of the previous presented findings can be synthesized and presented in a cohesive manner in the following model of information practices (Figure 3). These are composed of information activities, which are in turn groups of similar information actions. The activities are presented in a net, representing how music fans move from one activity to the next, and connect in a cyclical way. For example, in order to enjoy music by listening to it, fans have to first find music, through actions such as searching, browsing, and monitoring. The retrieval and use activities are thus connected to each other and to the other activities. Within each activity are listed various actions (searching, listening, selecting, etc.) which comprise these activities, however, these are not complete or exhaustive lists and are only presented as examples of possible actions. At the sides of each activity are the end-points for each of the continuums. This means that for each activity, the actions within it can be performed or not performed, from one end of the continuum to the other. For example, sorting, which is an organization activity, can be performed in a very orderly fashion, or in a chaotic style, or in a series of variations between these two extremes.

Information activities are undertaken in order to obtain personal and social benefits, such as mood management, self-expression or remembrance. And the activities are configured by a personal worldview, and constrained by external conditions, which include family, work, fandom organisations, and life history. The whole of the practice, the activities and factors that shape them, are encased within a particular lifestyle. Lifestyle is not merely a factor that changes or constrains a practice; lifestyle is synonym with practice. They both are inextricably linked and intertwined, one responding and adapting to the other dynamically and continuously.

This model describes the information practices of music fans, but it can potentially be extended to describe and analyse other types of information practices, such as the ones found in professional, academic and everyday contexts, as well as other leisure activities and hobbies.

Figure 3. Model of music information practices.


In this study the information practices of eighteen music fans living in Medellín, Colombia were examined and analysed. An information practice is a whole set of activities related to dealing with information and documents, which are structured and integrated into the social and personal life of individuals, as it intersects, modifies and is modified as well by all other social practices.

Based on the data gathered from interviews and observations, a model for music information practices is presented. This model integrates the elements that comprise an information practice: information activities, external and internal factors, and lifestyle. Activities are understood as groups of similar actions, connected in a cyclical network. Each of these actions can be presented as existing on a continuum, from more controlled, active actions to more unrestricted, passive forms. External factors include social benefits and extrinsic conditions. Internal factors include personal benefits and worldview. Lifestyle is the whole interlinked set of activities, settings, context, routines and habits that make up someone's life, and has a direct influence on a music information practice; the latter is part of the former.

An important finding of the study is the concept of continuums. Within each information activity a continuum from active actions to passive behaviour was found, and for each participant a position was selected within each of the six continuums. Therefore, practices can be characterized by these six positions, and by the main driving factors. Further research is needed to confirm if the continuums and the social and personal factors are found in other samples and other information practices.

However, this is a qualitative study with a small, intentional sample. Hence, these results cannot be generalized to the whole population of music fans, tango fans, metal fans, or fans living in Medellín. Rather, these results are a contribution to the understanding of information practices of music fans. This study shows that a practice is best understood as a whole, and that each activity and particular action exists in a direct relation with all other activities in that practice, within a particular lifestyle.

These results can also be used as a starting point for large-scale quantitative studies. Each of the continuums can potentially be transformed into a scale, and a series of questions could be designed to measure the position of a specific action or practice on the scale. The proposed model for music information practices is a useful tool to understand and locate all of the concepts and elements that come into play. Future research can use the model as a template to study other types of information practices in academic, professional, leisure or everyday life settings.


This study was conducted as part of the Magister of Information Science programme offered by the Inter-American School of Library Science, University of Antioquia, Medellín, Colombia. It was supported by a scholarship granted by the same University. The author wishes to thank everyone involved in the research project, particularly the music fans that shared their experiences and practices.

About the author

Alejandro Vesga Vinchira is a professor at the Inter-American School of Library Science, University of Antioquia, Medellín, Colombia. He is also a member of the Information, Knowledge and Society Research Group from the same School. He can be contacted at: alejandro.vesga@udea.edu.co


How to cite this paper

Vesga Vinchira, A. (2019). Modelling the information practices of music fans living in Medellín, Colombia. Information Research, 24(3), paper 833. Retrieved from http://InformationR.net/ir/24-3/paper833.html (Archived by archive.today at http://archive.is/lpDkl)

Check for citations, using Google Scholar