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Enregistrement W2162525194 · doi:10.5204/mcj.220

From TV to Twitter: How Ambient News Became Ambient Journalism

2010· article· en· W2162525194 sur OpenAlex

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Notice bibliographique

RevueM/C Journal · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePublic Relations and Crisis Communication
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCitizen journalismJournalismSocial mediaNews mediaMedia studiesChinaQuake (natural phenomenon)Technical JournalismPolitical scienceSociologyHistoryLaw

Résumé

récupéré en direct d'OpenAlex

In a TED talk in June 2009, media scholar Clay Shirky cited the devastating earthquake that struck the Sichuan province of China in May 2008 as an example of how media flows are changing. He explained how the first reports of the quake came not from traditional news media, but from local residents who sent messages on QQ, China’s largest social network, and on Twitter, the world’s most popular micro-blogging service. "As the quake was happening, the news was reported," said Shirky. This was neither a unique nor isolated incident. It has become commonplace for the people caught up in the news to provide the first accounts, images and video of events unfolding around them. Studies in participatory journalism suggest that professional journalists now share jurisdiction over the news in the sense that citizens are participating in the observation, selection, filtering, distribution and interpretation of events. This paper argues that the ability of citizens to play “an active role in the process of collecting, reporting, analysing and disseminating news and information” (Bowman and Willis 9) means we need to reassess the meaning of ‘ambient’ as applied to news and journalism. Twitter has emerged as a key medium for news and information about major events, such as during the earthquake in Chile in February 2010 (see, for example, Silverman; Dickinson). This paper discusses how social media technologies such as Twitter, which facilitate the immediate dissemination of digital fragments of news and information, are creating what I have described as “ambient journalism” (Hermida). It approaches real-time, networked digital technologies as awareness systems that offer diverse means to collect, communicate, share and display news and information in the periphery of a user's awareness. Twitter shares some similarities with other forms of communication. Like the telephone, it facilitates a real-time exchange of information. Like instant messaging, the information is sent in short bursts. But it extends the affordances of previous modes of communication by combining these features in both a one-to-many and many-to-many framework that is public, archived and searchable. Twitter allows a large number of users to communicate with each other simultaneously in real-time, based on an asymmetrical relationship between friends and followers. The messages form social streams of connected data that provide value both individually and in aggregate. News All Around The term ‘ambient’ has been used in journalism to describe the ubiquitous nature of news in today's society. In their 2002 study, Hargreaves and Thomas said one of the defining features of the media landscape in the UK was the easy availability of news through a host of media platforms, such as public billboards and mobile phones, and in spaces, such as trains and aircraft. “News is, in a word, ambient, like the air we breathe,” they concluded (44). The availability of news all around meant that citizens were able to maintain an awareness of what was taking place in the world as they went about their everyday activities. One of the ways news has become ambient has been through the proliferation of displays in public places carrying 24-hour news channels or showing news headlines. In her book, Ambient Television, Anna McCarthy explored how television has become pervasive by extending outside the home and dominating public spaces, from the doctor’s waiting room to the bar. “When we search for TV in public places, we find a dense, ambient clutter of public audio-visual apparatuses,” wrote McCarthy (13). In some ways, the proliferation of news on digital platforms has intensified the presence of ambient news. In a March 2010 Pew Internet report, Purcell et al. found that “in the digital era, news has become omnipresent. Americans access it in multiple formats on multiple platforms on myriad devices” (2). It seems that, if anything, digital technologies have increased the presence of ambient news. This approach to the term ‘ambient’ is based on a twentieth century model of mass media. Traditional mass media, from newspapers through radio to television, are largely one-directional, impersonal one-to-many carriers of news and information (McQuail 55). The most palpable feature of the mass media is to reach the many, and this affects the relationship between the media and the audience. Consequently, the news audience does not act for itself, but is “acted upon” (McQuail 57). It is assigned the role of consumer. The public is present in news as citizens who receive information about, and interpretation of, events from professional journalists. The public as the recipient of information fits in with the concept of ambient news as “news which is free at the point of consumption, available on demand and very often available in the background to people’s lives without them even looking” (Hargreaves and Thomas 51). To suggest that members of the audience are just empty receptacles to be filled with news is an oversimplification. For example, television viewers are not solely defined in terms of spectatorship (see, for example, Ang). But audiences have, traditionally, been kept well outside the journalistic process, defined as the “selecting, writing, editing, positioning, scheduling, repeating and otherwise massaging information to become news” (Shoemaker et al. 73). This audience is cast as the receiver, with virtually no sense of agency over the news process. As a result, journalistic communication has evolved, largely, as a process of one-way, one-to-many transmission of news and information to the public. The following section explores the shift towards a more participatory media environment. News as a Social Experience The shift from an era of broadcast mass media to an era of networked digital media has fundamentally altered flows of information. Non-linear, many-to-many digital communication technologies have transferred the means of media production and dissemination into the hands of the public, and are rewriting the relationship between the audience and journalists. Where there were once limited and cost-intensive channels for the distribution of content, there are now a myriad of widely available digital channels. Henry Jenkins has written about the emergence of a participatory culture that “contrasts with older notions of passive media spectatorship. Rather than talking about media producers and consumers occupying separate roles, we might now see them as participants who interact with each other according to a new set of rules that none of us fully understands” (3). Axel Bruns has coined the term “produsage” (2) to refer to the blurred line between producers and consumers, while Jay Rosen has talked about the “people formerly know as the audience.” For some, the consequences of this shift could be “a new model of journalism, labelled participatory journalism,” (Domingo et al. 331), raising questions about who can be described as a journalist and perhaps, even, how journalism itself is defined. The trend towards a more participatory media ecosystem was evident in the March 2010 study on news habits in the USA by Pew Internet. It highlighted that the news was becoming a social experience. “News is becoming a participatory activity, as people contribute their own stories and experiences and post their reactions to events” (Purcell et al. 40). The study found that 37% of Internet users, described by Pew as “news participators,” had actively contributed to the creation, commentary, or dissemination of news (44). This reflects how the Internet has changed the relationship between journalists and audiences from a one-way, asymmetric model of communication to a more participatory and collective system (Boczkowski; Deuze). The following sections considers how the ability of the audience to participate in the gathering, analysis and communication of news and information requires a re-examination of the concept of ambient news. A Distributed Conversation As I’ve discussed, ambient news is based on the idea of the audience as the receiver. Ambient journalism, on the other hand, takes account of how audiences are able to become part of the news process. However, this does not mean that citizens are necessarily producing journalism within the established framework of accounts and analysis through narratives, with the aim of providing accurate and objective portrayals of reality. Rather, I suggest that ambient journalism presents a multi-faceted and fragmented news experience, where citizens are producing small pieces of content that can be collectively considered as journalism. It acknowledges the audience as both a receiver and a sender. I suggest that micro-blogging social media services such as Twitter, that enable millions of people to communicate instantly, share and discuss events, are an expression of ambient journalism. Micro-blogging is a new media technology that enables and extends society's ability to communicate, enabling users to share brief bursts of information from multiple digital devices. Twitter has become one of the most popular micro-blogging platforms, with some 50 million messages sent daily by February 2010 (Twitter). Twitter enables users to communicate with each other simultaneously via short messages no longer than 140 characters, known as ‘tweets’. The micro-blogging platform shares some similarities with instant messaging. It allows for near synchronous communications from users, resulting in a continuous stream of up-to-date messages, usually in a conversational tone. Unlike instant messaging, Twitter is largely public, creating a new body of content online that can be archived, searched and retrieved. The messages can be extracted, analysed and aggregated, providing a measure of activity around a particular event or subject and, in some cases, an indication of the general sentiment about it. For example, the deluge of twee

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,365
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,324
Écart entre enseignants0,294 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle