‘The Deal Should Be Fairer!’ Stakeholder Discourses on Intrusive Media Platforms and Interfaces

Mathieu, David; Finger, Juliane; Dias, Patrícia; Chronaki, Despina

doi:10.1007/978-3-319-75638-7_4

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Ytre-Arne and Das (2019) point to the long history of audience research in popular culture, technological and new media contexts, arguing for the need to expand audience research into emerging technologies such as the Internet of Things and algorithmic media to bring new understanding to the phenomenon. Similarly, Mathieu et al (2018) consult with stakeholders about emerging media technologies and conclude that stakeholders fail to acknowledge audience dilemmas over whether to engage with or protect oneself from the pressures and intrusions of media technologies. Kennedy and Moss (2015) advocate for alternative approaches to the study of algorithms that take into account the lived experience of media users.…”

Section: User Experiences Of Media Personalisationmentioning

confidence: 99%

Conditional trust: Citizens’ council on data-driven media personalisation and public expectations of transparency and accountability

Wong,

Jones,

Das

et al. 2023

Big Data & Society

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This article presents findings from a rigorous, three-wave series of qualitative research into public expectations of data-driven media technologies, conducted in England, United Kingdom. Through a range of carefully chosen scenarios and deliberations around the risks and benefits afforded by data-driven media personalisation technologies and algorithms, we paid close attention to citizens’ voices as our multidisciplinary team sought to engage the public on what ‘good’ might look like in the context of media personalisation. We paid particular attention to risks and opportunities, examining practical use-cases and scenarios, and our three-wave councils culminated in citizens producing recommendations for practice and policy. In this article, we focus particularly on citizens’ ethical assessment, critique and improvements proposed on media personalisation methods in relation to benefits, fairness, safety, transparency and accountability. Our findings demonstrate that public expectations and trust in data-driven technologies are, fundamentally, conditional, with significant emphasis placed on transparency, inclusiveness and accessibility. Our findings also point to the context dependency of public expectations, which appears more pertinent to citizens, in hard political as opposed to entertainment spaces. Our conclusions are significant for global data-driven media personalisation environments – in terms of embedding citizens’ focus on transparency and accountability, but equally, also, we argue that strengthening research methodology, innovatively and rigorously to build in citizen voices at the very inception and core of design – must become a priority in technology development.

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Section: User Experiences Of Media Personalisationmentioning

confidence: 99%

Conditional trust: Citizens’ council on data-driven media personalisation and public expectations of transparency and accountability

Wong,

Jones,

Das

et al. 2023

Big Data & Society

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“…To this end, we remained critical in two key ways when thinking about audiences as they often might be conceptualized within the industry. We paid close attention in our exercise with media industry stakeholders, to the discursive positions adopted by them in conceptualizing audiences ( Mathieu et al, 2017 ). These positions revealed, disappointingly, that often audiences are held responsible for outcomes emerging from their engagement with intrusive technologies, thereby displacing responsibility from organizations and institutions.…”

Section: Framework and Approachmentioning

confidence: 99%

Critical, agentic and trans-media: Frameworks and findings from a foresight analysis exercise on audiences

Das

Ytre-Arne

2017

European Journal of Communication

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We write this article presenting frameworks and findings from an international network on audience research, as we stand 75 years from Herta Herzog’s classic investigation of radio listeners, published in Lazarsfeld and Stanton’s 1944 war edition of Radio Research. The article aims to contribute to and advance a rich strand of self-reflexive stock-taking and sorting of future research priorities within the transforming field of audience analysis, by drawing on the collective efforts of CEDAR – Consortium on Emerging Directions in Audience Research – a 14-country network (2015–2018) funded by the Arts and Humanities Research Council, United Kingdom, which conducted a foresight analysis exercise on developing current trends and future scenarios for audiences and audience research in the year 2030. First, we wish to present the blueprint of what we did and how we did it – by discussing the questions, contexts and frameworks for our project. We hope this is useful for anyone considering a foresight analysis task, an approach we present as an innovative and rigorous tool for assessing and understanding the future of a field. Second, we present findings from our analysis of pivotal transformations in the field and the future scenarios we constructed for audiences, as media technologies rapidly change with the arrival of the Internet of Things and changes on many levels occur in audience practices. These findings not only make sense of a transformative decade that we have just lived through but they present possibilities for the future, outlining areas for individual and collective intellectual commitment.

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“…This is inviting new forms of self-management as well as technology-management in terms of audiences’ coping strategies. Second, as David Mathieu and colleagues note from their consultations with stakeholders, audiences are increasingly presented with a difficult and dichotomous range of choices by these preconfigurations, and a more meaningful range of choices need to develop, in which audiences do not have to choose between engagement with media or technologies, or protection from pressures and intrusions (Mathieu et al 2018). Third, intrusive technologies should call further attention to the unevenness of power arising out of new media-audience relations.…”

mentioning

confidence: 99%

An Agenda in the Interest of Audiences: Facing the Challenges of Intrusive Media Technologies

Ytre-Arne

Das

2018

Television & New Media

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This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and 2017, by the research network Consortium on Emerging Directions in Audience Research (CEDAR). We formulate this agenda in the context of the rapid datafication of society, amid emerging technologies, including the Internet of Things, and following a transformative decade, which overlapped with the pervasion of social media, proliferation of connected gadgets, and growing interest in and concern about big data. The agenda we formulate includes substantial and intellectual priorities concerning intrusive technologies, critical data literacies, labour, co-option, and resistance, and argues for the need for research on these matters, in the interest of audiences.

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‘The Deal Should Be Fairer!’ Stakeholder Discourses on Intrusive Media Platforms and Interfaces

Cited by 3 publications

References 22 publications

Conditional trust: Citizens’ council on data-driven media personalisation and public expectations of transparency and accountability

Conditional trust: Citizens’ council on data-driven media personalisation and public expectations of transparency and accountability

Critical, agentic and trans-media: Frameworks and findings from a foresight analysis exercise on audiences

An Agenda in the Interest of Audiences: Facing the Challenges of Intrusive Media Technologies

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