Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.375
G. Mul, E. Masson
The award-winning media artist Geert Mul (the Netherlands, 1965) has been making computer based artworks for over twenty-five years. A large portion of his oeuvre, and his more recent work in particular, relies heavily on existing images, often sourced online. With the help of image analysis software, Mul reworks the pictures into new combinations, attracted by the unexpected results that algorithmic operations produce, and the revelatory potential they hold. The artist refers to this work as ‘data-based art’ – a term revealing not only of his own process as a maker, but also of his take on how people today engage with the world around them and make sense of it. At the conclusion of a large-scale retrospective of his work, Eef Masson spoke with him about some of the key ingredients of his visual practice and the inextricable relations between them: information, databases and collections; randomness and rules; and crucially, makers and audiences or users. In the course of the conversation, Mul also reflected on how his work ties in with much older traditions of play, in artistic practice, with data and the rules for their recombination.
{"title":"Data-Based Art, Algorithmic Poetry","authors":"G. Mul, E. Masson","doi":"10.18146/2213-7653.2018.375","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.375","url":null,"abstract":"The award-winning media artist Geert Mul (the Netherlands, 1965) has been making computer based artworks for over twenty-five years. A large portion of his oeuvre, and his more recent work in particular, relies heavily on existing images, often sourced online. With the help of image analysis software, Mul reworks the pictures into new combinations, attracted by the unexpected results that algorithmic operations produce, and the revelatory potential they hold. The artist refers to this work as ‘data-based art’ – a term revealing not only of his own process as a maker, but also of his take on how people today engage with the world around them and make sense of it. At the conclusion of a large-scale retrospective of his work, Eef Masson spoke with him about some of the key ingredients of his visual practice and the inextricable relations between them: information, databases and collections; randomness and rules; and crucially, makers and audiences or users. In the course of the conversation, Mul also reflected on how his work ties in with much older traditions of play, in artistic practice, with data and the rules for their recombination.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124485790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Interview with Anne Helmond (University of Amsterdam) by Eef Masson and Karin van Es.
Eef Masson和Karin van Es对安妮·赫尔蒙德(阿姆斯特丹大学)的采访。
{"title":"Anne Helmond on Researching the History of the Web","authors":"Anne Helmond","doi":"10.18146/TMG21373","DOIUrl":"https://doi.org/10.18146/TMG21373","url":null,"abstract":"Interview with Anne Helmond (University of Amsterdam) by Eef Masson and Karin van Es.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127209221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.376
M. Wieringa
Review of The Algorithmic History Museum, an installation created by SETUP. It was on display at the Dutch Design Week 2017 (21– 29 October 2017, Eindhoven, the Netherlands).
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Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.363
Karin van Es, E. Masson
Editorial.
社论。
{"title":"Big Data Histories","authors":"Karin van Es, E. Masson","doi":"10.18146/2213-7653.2018.363","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.363","url":null,"abstract":"<jats:p xml:lang=\"en\">Editorial.</jats:p>","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132749253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.371
A. Powell
Interview with Alison Powell (London School of Economics) by Eef Masson and Karin van Es.
埃夫·马森和卡琳·范·埃斯对艾莉森·鲍威尔(伦敦经济学院)的采访。
{"title":"Alison Powell on Data Walking","authors":"A. Powell","doi":"10.18146/2213-7653.2018.371","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.371","url":null,"abstract":"Interview with Alison Powell (London School of Economics) by Eef Masson and Karin van Es.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131773716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.366
F. Kessler, M. Schäfer
This article proposes a consideration of today’s discourses on ‘big data’ from a media archaeological point of view, confronting such discourses with those surrounding projects for large- scale image archives in the nineteenth and early twentieth centuries. Collections of photographs, stereographs and films were thought of as trustworthy and unbiased documents, that allowed for the production of new forms of knowledge. The expectations as to the impact of such new media that circulated at the time are not unlike those formulated today with respect to ‘big data’. It is only by scrutinizing those discourses, and specifically the role attributed to media technologies, that we can understand the processes that govern the production of each medium’s bias.
{"title":"Trust in Techno-images","authors":"F. Kessler, M. Schäfer","doi":"10.18146/2213-7653.2018.366","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.366","url":null,"abstract":"This article proposes a consideration of today’s discourses on ‘big data’ from a media archaeological point of view, confronting such discourses with those surrounding projects for large- scale image archives in the nineteenth and early twentieth centuries. Collections of photographs, stereographs and films were thought of as trustworthy and unbiased documents, that allowed for the production of new forms of knowledge. The expectations as to the impact of such new media that circulated at the time are not unlike those formulated today with respect to ‘big data’. It is only by scrutinizing those discourses, and specifically the role attributed to media technologies, that we can understand the processes that govern the production of each medium’s bias.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.370
C. Olesen, I. Kisjes
Focusing on the specific case of cinema owner and film distributor Jean Desmet’s digitised business archive, this article discusses how computational approaches may facilitate the archive’s unlocking for researchers in the Dutch national research infrastructure – CLARIAH –Media Suite. To this end, the article considers previous computational approaches to film- related sources in New Cinema History research in a historical perspective, suggesting a novel approach which combines text mining and visual classification. The article argues that such a combination is necessary to yield results which reflect the archive’s material heterogeneity and complexity, and that it offers a new direction for computational approaches in New Cinema History and their conceptualisations of film-related materials as historical sources.
本文以电影院所有者和电影发行商Jean Desmet的数字化商业档案为例,讨论了计算方法如何促进荷兰国家研究基础设施(CLARIAH - media Suite)的研究人员对档案的解锁。为此,本文从历史的角度考虑了以往新电影史研究中对电影相关资源的计算方法,提出了一种结合文本挖掘和视觉分类的新方法。本文认为,这样的结合对于产生反映档案材料异质性和复杂性的结果是必要的,并且它为新电影史的计算方法及其将电影相关材料作为历史来源的概念化提供了新的方向。
{"title":"From Text Mining to Visual Classification","authors":"C. Olesen, I. Kisjes","doi":"10.18146/2213-7653.2018.370","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.370","url":null,"abstract":"Focusing on the specific case of cinema owner and film distributor Jean Desmet’s digitised business archive, this article discusses how computational approaches may facilitate the archive’s unlocking for researchers in the Dutch national research infrastructure – CLARIAH –Media Suite. To this end, the article considers previous computational approaches to film- related sources in New Cinema History research in a historical perspective, suggesting a novel approach which combines text mining and visual classification. The article argues that such a combination is necessary to yield results which reflect the archive’s material heterogeneity and complexity, and that it offers a new direction for computational approaches in New Cinema History and their conceptualisations of film-related materials as historical sources.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"771 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116142001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.365
M. Stauff
This article considers the contribution of sports to the emergence of a contemporary big data culture. Why and how did media sports become so entangled with big data? How do media sports impact on the popularisation of big data as a cultural practice and as a cultural imaginary? In the first part of the article, I demonstrate how, as early as the nineteenth century, the standardisation and serialisation of sport competitions went hand in hand with a growing relevance of quantified evaluation of performances. Sports contributed to the modern ‘avalanche of numbers’ and thus became an important symbolic resource for the broader implementation of a data-based, ‘normalistic’ regulation of social practices. In the second part, I focus on the implementation of a public representation of actual big data practices in professional sports. Starting with a short overview of an initially slow-moving, but eventually comprehensive, appropriation of advanced statistical calculations and other big data practices since the 1970s, I analyse examples that illustrate the controversies around and the public legitimisation of metrics and data visualisation. My main claim is that sport, because of its historically long and close entanglement with numbers, both stimulates a naturalisation of datafied competition and fuels an ongoing debate about the quality and implications of different forms of metrics.
{"title":"A Culture of Competition","authors":"M. Stauff","doi":"10.18146/2213-7653.2018.365","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.365","url":null,"abstract":"This article considers the contribution of sports to the emergence of a contemporary big data culture. Why and how did media sports become so entangled with big data? How do media sports impact on the popularisation of big data as a cultural practice and as a cultural imaginary? In the first part of the article, I demonstrate how, as early as the nineteenth century, the standardisation and serialisation of sport competitions went hand in hand with a growing relevance of quantified evaluation of performances. Sports contributed to the modern ‘avalanche of numbers’ and thus became an important symbolic resource for the broader implementation of a data-based, ‘normalistic’ regulation of social practices. In the second part, I focus on the implementation of a public representation of actual big data practices in professional sports. Starting with a short overview of an initially slow-moving, but eventually comprehensive, appropriation of advanced statistical calculations and other big data practices since the 1970s, I analyse examples that illustrate the controversies around and the public legitimisation of metrics and data visualisation. My main claim is that sport, because of its historically long and close entanglement with numbers, both stimulates a naturalisation of datafied competition and fuels an ongoing debate about the quality and implications of different forms of metrics.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134503955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.18146/2213-7653.2018.364
N. Kerssens
In this article, I counter persistent claims of big data revolutionising managerial decision making, by tracing the technological and cultural origins of data-based management in the United States back to the 1970s and 1980s using historical source materials from the trade magazine Datamation. I argue that innovations in database technology within this period – database management systems and the relational database model – shaped and reinforced a data-based mindset. This mindset, I demonstrate, is manifested in four interlinked concepts of data: data as asset, data as raw, data as reality, and data as relatable. These concepts, I argue, provide a basis for current associations of big data with ideological values of objectivity and truthfulness. The article contributes to a growing body of work in media and communication studies that deconstructs the ideological discourses facilitating big data’s unquestioned integration in the business world.
{"title":"The Database ‘Revolution’","authors":"N. Kerssens","doi":"10.18146/2213-7653.2018.364","DOIUrl":"https://doi.org/10.18146/2213-7653.2018.364","url":null,"abstract":"In this article, I counter persistent claims of big data revolutionising managerial decision making, by tracing the technological and cultural origins of data-based management in the United States back to the 1970s and 1980s using historical source materials from the trade magazine Datamation. I argue that innovations in database technology within this period – database management systems and the relational database model – shaped and reinforced a data-based mindset. This mindset, I demonstrate, is manifested in four interlinked concepts of data: data as asset, data as raw, data as reality, and data as relatable. These concepts, I argue, provide a basis for current associations of big data with ideological values of objectivity and truthfulness. The article contributes to a growing body of work in media and communication studies that deconstructs the ideological discourses facilitating big data’s unquestioned integration in the business world.","PeriodicalId":187553,"journal":{"name":"TMG Journal for Media History","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131765990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Interview with Mirko Tobias Schäfer (Utrecht University) with Eef Masson and Karin van Es.
采访Mirko Tobias Schäfer(乌得勒支大学)Eef Masson和Karin van Es。
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