Pub Date : 2024-08-30DOI: 10.1177/14614448241251797
Will Orr, Kate Crawford
Despite the critical role that datasets play in how systems make predictions and interpret the world, the dynamics of their construction are not well understood. Drawing on a corpus of interviews with dataset creators, we uncover the messy and contingent realities of dataset preparation. We identify four key challenges in constructing datasets, including balancing the benefits and costs of increasing dataset scale, limited access to resources, a reliance on shortcuts for compiling datasets and evaluating their quality, and ambivalence regarding accountability for a dataset. These themes illustrate the ways in which datasets are not objective or neutral but reflect the personal judgments and trade-offs of their creators within wider institutional dynamics, working within social, technical, and organizational constraints. We underscore the importance of examining the processes of dataset creation to strengthen an understanding of responsible practices for dataset development and care.
{"title":"The social construction of datasets: On the practices, processes, and challenges of dataset creation for machine learning","authors":"Will Orr, Kate Crawford","doi":"10.1177/14614448241251797","DOIUrl":"https://doi.org/10.1177/14614448241251797","url":null,"abstract":"Despite the critical role that datasets play in how systems make predictions and interpret the world, the dynamics of their construction are not well understood. Drawing on a corpus of interviews with dataset creators, we uncover the messy and contingent realities of dataset preparation. We identify four key challenges in constructing datasets, including balancing the benefits and costs of increasing dataset scale, limited access to resources, a reliance on shortcuts for compiling datasets and evaluating their quality, and ambivalence regarding accountability for a dataset. These themes illustrate the ways in which datasets are not objective or neutral but reflect the personal judgments and trade-offs of their creators within wider institutional dynamics, working within social, technical, and organizational constraints. We underscore the importance of examining the processes of dataset creation to strengthen an understanding of responsible practices for dataset development and care.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251802
Philipp Seuferling
The buzzword “smart borders” captures the latest instantiation of media technologies constituting state bordering. This article traces historical techniques of knowledge-production and decision-making at the border, in the case of Ellis Island immigration station, New York City (1892–1954). State bordering has long been enabled by media technologies, engulfed with imaginaries of neutral, unambiguous, efficient sorting between desired and undesired migrants—promises central to today’s “smart border” projects. Specifically, the use of “proxies” for decision-making is traced historically, for example, biometric or biographic data, collected as seemingly authentic and neutral stand-ins for the migrant. Techniques of selecting, storing, and correlating proxies through media technologies demonstrate how public health anxieties, eugenics, and scientific technocracy of the Progressive Era formed the context of proxies being entrusted to enable decision-making. This pre-digital history of automation reveals how the logics and politics of proxification endure in contemporary border regimes and automated media at large.
{"title":"Smart Ellis Island? Tracing techniques of automating border control","authors":"Philipp Seuferling","doi":"10.1177/14614448241251802","DOIUrl":"https://doi.org/10.1177/14614448241251802","url":null,"abstract":"The buzzword “smart borders” captures the latest instantiation of media technologies constituting state bordering. This article traces historical techniques of knowledge-production and decision-making at the border, in the case of Ellis Island immigration station, New York City (1892–1954). State bordering has long been enabled by media technologies, engulfed with imaginaries of neutral, unambiguous, efficient sorting between desired and undesired migrants—promises central to today’s “smart border” projects. Specifically, the use of “proxies” for decision-making is traced historically, for example, biometric or biographic data, collected as seemingly authentic and neutral stand-ins for the migrant. Techniques of selecting, storing, and correlating proxies through media technologies demonstrate how public health anxieties, eugenics, and scientific technocracy of the Progressive Era formed the context of proxies being entrusted to enable decision-making. This pre-digital history of automation reveals how the logics and politics of proxification endure in contemporary border regimes and automated media at large.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251796
Jean Burgess, Nicholas Carah, Daniel Angus, Abdul Obeid, Mark Andrejevic
Against the backdrop of calls for greater platform transparency, this exploratory article investigates Meta’s ‘Why Am I Seeing This Ad’ (WAIST) feature, which is positioned as a consumer-level explanation of Meta’s advertising model. Drawing on our own walkthroughs of Facebook and Instagram and data from the Australian Ad Observatory, we find the feature falls short in two ways. First, the explanations do not always align with how the system and its audience-building tools are sold to and used by advertisers. Second, the feature is focused narrowly on single ads and individual users, doing nothing to generate understanding of the patterns and sequences of targeted advertising in relation to other users or over time. We propose both platform practices and independent research strategies that could help to fill this gap between individual explanations, population-level patterns of targeted online advertising and the societal issues associated with it.
在呼吁提高平台透明度的背景下，这篇探索性文章对 Meta 的 "为什么我看到了这个广告"（WAIST）功能进行了调查，该功能被定位为从消费者层面解释 Meta 的广告模式。根据我们自己对 Facebook 和 Instagram 的浏览以及澳大利亚广告观察站（Australian Ad Observatory）的数据，我们发现该功能在两个方面存在不足。首先，解释并不总是与系统及其受众构建工具如何销售给广告商以及广告商如何使用相一致。其次，该功能仅关注单个广告和单个用户，无法让人理解定向广告与其他用户或与时间相关的模式和顺序。我们提出了一些平台实践和独立研究策略，这些策略可以帮助填补个体解释、群体层面的定向网络广告模式以及与之相关的社会问题之间的空白。
{"title":"Why Am I Seeing This Ad? The affordances and limits of automated user-level explanation in Meta’s advertising system","authors":"Jean Burgess, Nicholas Carah, Daniel Angus, Abdul Obeid, Mark Andrejevic","doi":"10.1177/14614448241251796","DOIUrl":"https://doi.org/10.1177/14614448241251796","url":null,"abstract":"Against the backdrop of calls for greater platform transparency, this exploratory article investigates Meta’s ‘Why Am I Seeing This Ad’ (WAIST) feature, which is positioned as a consumer-level explanation of Meta’s advertising model. Drawing on our own walkthroughs of Facebook and Instagram and data from the Australian Ad Observatory, we find the feature falls short in two ways. First, the explanations do not always align with how the system and its audience-building tools are sold to and used by advertisers. Second, the feature is focused narrowly on single ads and individual users, doing nothing to generate understanding of the patterns and sequences of targeted advertising in relation to other users or over time. We propose both platform practices and independent research strategies that could help to fill this gap between individual explanations, population-level patterns of targeted online advertising and the societal issues associated with it.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251789
Peter Nagy, Gina Neff
In this article, we introduce the term “conjuration of algorithms” to describe how the tech industry uses the language of magic to shape people’s perceptions of algorithms. We use the image of the magician as a metaphor for how the tech industry strategically deploys narrative devices to present their algorithms. After presenting a brief history of the Western European and North American understanding of stage magic, we apply three principles of magic to a recent case: OpenAI’s discussion of ChatGPT to show how tech leaders present algorithms as magical entities. We argue that the conjuration of algorithms allows the tech industry to forge vivid, overly positive, and deterministic narratives that make it challenging for their critics to call attention to the very real harms that algorithmic systems pose to users. We call for discourses of reality instead of magic, as a way to support responsible technology design, development, use, and governance.
{"title":"Conjuring algorithms: Understanding the tech industry as stage magicians","authors":"Peter Nagy, Gina Neff","doi":"10.1177/14614448241251789","DOIUrl":"https://doi.org/10.1177/14614448241251789","url":null,"abstract":"In this article, we introduce the term “conjuration of algorithms” to describe how the tech industry uses the language of magic to shape people’s perceptions of algorithms. We use the image of the magician as a metaphor for how the tech industry strategically deploys narrative devices to present their algorithms. After presenting a brief history of the Western European and North American understanding of stage magic, we apply three principles of magic to a recent case: OpenAI’s discussion of ChatGPT to show how tech leaders present algorithms as magical entities. We argue that the conjuration of algorithms allows the tech industry to forge vivid, overly positive, and deterministic narratives that make it challenging for their critics to call attention to the very real harms that algorithmic systems pose to users. We call for discourses of reality instead of magic, as a way to support responsible technology design, development, use, and governance.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251800
Annette Markham
This article showcases a speculative methodology for recreating interactions between a human and Google Search’s Auto-Predict interface as conversations, to explore how AI-based systems are both persuasive and deeply personal. Using ethnomethodology tools and a symbolic interactionist lens, the paper presents three versions of a single Google search, each variation building a slightly different angle on the plausible utterances and interpersonal dynamics of the human and nonhuman partners. This thought experiment emerges from a decade of classroom-based digital literacy exercises with young adults, training them to analyze their lived experiences with digital media, algorithms, and devices. Transforming information exchanges into personal conversations provides a creative method for analyzing how relations are co-constructed in the granular processes of interaction, through which mutual intelligibility is built, meaning about the world is made, and identities are formed. This critical analysis extends methods for human–machine communication studies and elaborates notions of algorithmic identity.
{"title":"Algorithms as conversational partners: Looking at Google auto-predict through the lens of symbolic interaction","authors":"Annette Markham","doi":"10.1177/14614448241251800","DOIUrl":"https://doi.org/10.1177/14614448241251800","url":null,"abstract":"This article showcases a speculative methodology for recreating interactions between a human and Google Search’s Auto-Predict interface as conversations, to explore how AI-based systems are both persuasive and deeply personal. Using ethnomethodology tools and a symbolic interactionist lens, the paper presents three versions of a single Google search, each variation building a slightly different angle on the plausible utterances and interpersonal dynamics of the human and nonhuman partners. This thought experiment emerges from a decade of classroom-based digital literacy exercises with young adults, training them to analyze their lived experiences with digital media, algorithms, and devices. Transforming information exchanges into personal conversations provides a creative method for analyzing how relations are co-constructed in the granular processes of interaction, through which mutual intelligibility is built, meaning about the world is made, and identities are formed. This critical analysis extends methods for human–machine communication studies and elaborates notions of algorithmic identity.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251791
CJ Reynolds, Blake Hallinan
Despite opaque automated systems and few formal channels for participation, YouTubers navigate algorithmic governance on the platform through a strategy we call user-generated accountability: the generation of publicity via content creation to reveal failures, oversights, or harmful policies. Through an analysis of 250 videos, we identify common strategies, concerns, and targets of accountability. Creators primarily upload vlogs that acknowledge the platform’s positive aspects, even as they express concern with YouTube’s policies, automated enforcement systems, poor communication practices, and discrimination against certain creators or content. In publicizing critiques of platform operations, videos enroll creators and audiences as active stakeholders in platform governance that can coordinate actions to draw the company’s attention to matters of concern. We argue that user-generated accountability practices offer a productive starting point for understanding how platform governance disputes come to be and how systems might be shaped or rebuilt to better serve the needs of competing stakeholders.
{"title":"User-generated accountability: Public participation in algorithmic governance on YouTube","authors":"CJ Reynolds, Blake Hallinan","doi":"10.1177/14614448241251791","DOIUrl":"https://doi.org/10.1177/14614448241251791","url":null,"abstract":"Despite opaque automated systems and few formal channels for participation, YouTubers navigate algorithmic governance on the platform through a strategy we call user-generated accountability: the generation of publicity via content creation to reveal failures, oversights, or harmful policies. Through an analysis of 250 videos, we identify common strategies, concerns, and targets of accountability. Creators primarily upload vlogs that acknowledge the platform’s positive aspects, even as they express concern with YouTube’s policies, automated enforcement systems, poor communication practices, and discrimination against certain creators or content. In publicizing critiques of platform operations, videos enroll creators and audiences as active stakeholders in platform governance that can coordinate actions to draw the company’s attention to matters of concern. We argue that user-generated accountability practices offer a productive starting point for understanding how platform governance disputes come to be and how systems might be shaped or rebuilt to better serve the needs of competing stakeholders.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1177/14614448241251804
Marcus Bösch, Tom Divon
TikTok has emerged as a powerful platform for the dissemination of mis- and disinformation about the war in Ukraine. During the initial three months after the Russian invasion in February 2022, videos under the hashtag #Ukraine garnered 36.9 billion views, with individual videos scaling up to 88 million views. Beyond the traditional methods of spreading misleading information through images and text, the medium of sound has emerged as a novel, platform-specific audiovisual technique. Our analysis distinguishes various war-related sounds utilized by both Ukraine and Russia and classifies them into a mis- and disinformation typology. We use computational propaganda features—automation, scalability, and anonymity—to explore how TikTok’s auditory practices are exploited to exacerbate information disorders in the context of ongoing war events. These practices include reusing sounds for coordinated campaigns, creating audio meme templates for rapid amplification and distribution, and deleting the original sounds to conceal the orchestrators’ identities. We conclude that TikTok’s recommendation system (the “for you” page) acts as a sound space where exposure is strategically navigated through users’ intervention, enabling semi-automated “soft” propaganda to thrive by leveraging its audio features.
{"title":"The sound of disinformation: TikTok, computational propaganda, and the invasion of Ukraine","authors":"Marcus Bösch, Tom Divon","doi":"10.1177/14614448241251804","DOIUrl":"https://doi.org/10.1177/14614448241251804","url":null,"abstract":"TikTok has emerged as a powerful platform for the dissemination of mis- and disinformation about the war in Ukraine. During the initial three months after the Russian invasion in February 2022, videos under the hashtag #Ukraine garnered 36.9 billion views, with individual videos scaling up to 88 million views. Beyond the traditional methods of spreading misleading information through images and text, the medium of sound has emerged as a novel, platform-specific audiovisual technique. Our analysis distinguishes various war-related sounds utilized by both Ukraine and Russia and classifies them into a mis- and disinformation typology. We use computational propaganda features—automation, scalability, and anonymity—to explore how TikTok’s auditory practices are exploited to exacerbate information disorders in the context of ongoing war events. These practices include reusing sounds for coordinated campaigns, creating audio meme templates for rapid amplification and distribution, and deleting the original sounds to conceal the orchestrators’ identities. We conclude that TikTok’s recommendation system (the “for you” page) acts as a sound space where exposure is strategically navigated through users’ intervention, enabling semi-automated “soft” propaganda to thrive by leveraging its audio features.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1177/14614448241270541
Keren Levi-Eshkol, Rivka Ribak
We adopt a socio-material perspective to examine how developers translate privacy, as a social value, into user applications. Our comprehensive survey of the research on developers’ privacy highlights their key position as privacy mediators and their forums as productive settings for unobtrusive studies of their discourse. The open-source code-sharing platform GitHub contains both discourse and code; by focusing on GitHub, we analyzed nearly 60,000 README files created between 2008 and 2020 that include the term “privacy,” studying quantitatively and qualitatively how discourse is translated into code. Using VOSviewer.com, we identified two main word clusters: “security” and “privacy policy.” Voyant-tools.org confirmed these findings, suggesting that some references elaborate on practices that safeguard privacy, while others discuss policy as a means of complying with both public and, ironically, commercial regulations. A closer reading of the files reveals that even privacy enthusiasts may inadvertently promote code that poses threats to privacy.
{"title":"“Track every move”: Analyzing developers’ privacy discourse in GitHub README files","authors":"Keren Levi-Eshkol, Rivka Ribak","doi":"10.1177/14614448241270541","DOIUrl":"https://doi.org/10.1177/14614448241270541","url":null,"abstract":"We adopt a socio-material perspective to examine how developers translate privacy, as a social value, into user applications. Our comprehensive survey of the research on developers’ privacy highlights their key position as privacy mediators and their forums as productive settings for unobtrusive studies of their discourse. The open-source code-sharing platform GitHub contains both discourse and code; by focusing on GitHub, we analyzed nearly 60,000 README files created between 2008 and 2020 that include the term “privacy,” studying quantitatively and qualitatively how discourse is translated into code. Using VOSviewer.com, we identified two main word clusters: “security” and “privacy policy.” Voyant-tools.org confirmed these findings, suggesting that some references elaborate on practices that safeguard privacy, while others discuss policy as a means of complying with both public and, ironically, commercial regulations. A closer reading of the files reveals that even privacy enthusiasts may inadvertently promote code that poses threats to privacy.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1177/14614448241272201
Chris Bell, Adam J Cocks, Laura Hills, Charlotte Kerner
Little is known about how different types of engagement with social media (active vs passive) relate to body image in men. This study explored relationships between social media use (active and passive), body image, and drive for muscularity in physically active men. A questionnaire containing measures of body image (appearance valence, appearance salience), drive for muscularity, and social media use was completed by 224 men aged 18–50 years. Results showed a negative relationship between active social media use and appearance valence. Active and passive social media use were positively associated with drive for muscularity and appearance salience. Passive social media use was predictive of higher appearance salience and drive for muscularity in linear regression models. These findings suggest social media may be linked to body image and muscularity concerns in men.
{"title":"Active and passive social media use: Relationships with body image in physically active men","authors":"Chris Bell, Adam J Cocks, Laura Hills, Charlotte Kerner","doi":"10.1177/14614448241272201","DOIUrl":"https://doi.org/10.1177/14614448241272201","url":null,"abstract":"Little is known about how different types of engagement with social media (active vs passive) relate to body image in men. This study explored relationships between social media use (active and passive), body image, and drive for muscularity in physically active men. A questionnaire containing measures of body image (appearance valence, appearance salience), drive for muscularity, and social media use was completed by 224 men aged 18–50 years. Results showed a negative relationship between active social media use and appearance valence. Active and passive social media use were positively associated with drive for muscularity and appearance salience. Passive social media use was predictive of higher appearance salience and drive for muscularity in linear regression models. These findings suggest social media may be linked to body image and muscularity concerns in men.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-27DOI: 10.1177/14614448241270470
Henrik Örnebring, Elizabeth Van Couvering, David Regin Öborn, Robert MacKenzie
This article presents a study of how and to what extent gig workers in Sweden experience a mediatization of work. We contend that previous mediatization research has assumed extensive and unified effects of mediatization, and that previous gig work research has focused on users of large-scale, transnational platforms. We conducted a set of qualitative, semi-structured interviews (N = 28) with Swedish users of four different gig apps (all produced by very small companies active only in Sweden). We analyzed their experiences of mediatization along five dimensions: extension, substitution, amalgamation, accommodation, and datafication. We found that our respondents had much more varied, far less all-encompassing, experiences of mediatization than indicated in previous research. We also found respondents’ experiences clearly framed by the smaller size of the local, Swedish gig work companies.
{"title":"The mediatization of work? Gig workers and gig apps in Sweden","authors":"Henrik Örnebring, Elizabeth Van Couvering, David Regin Öborn, Robert MacKenzie","doi":"10.1177/14614448241270470","DOIUrl":"https://doi.org/10.1177/14614448241270470","url":null,"abstract":"This article presents a study of how and to what extent gig workers in Sweden experience a mediatization of work. We contend that previous mediatization research has assumed extensive and unified effects of mediatization, and that previous gig work research has focused on users of large-scale, transnational platforms. We conducted a set of qualitative, semi-structured interviews (N = 28) with Swedish users of four different gig apps (all produced by very small companies active only in Sweden). We analyzed their experiences of mediatization along five dimensions: extension, substitution, amalgamation, accommodation, and datafication. We found that our respondents had much more varied, far less all-encompassing, experiences of mediatization than indicated in previous research. We also found respondents’ experiences clearly framed by the smaller size of the local, Swedish gig work companies.","PeriodicalId":19149,"journal":{"name":"New Media & Society","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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