tl;dr → A paean. “The mobile” is the Bee’s Knees!
and → The signal is given: a new S-Curve is commencing.
and → The unbunding / rebundling / unbundling / rebundling cycle, a metaphor of growth-cum-renewal.
tl;dr → [Question:] Do media outlets bias news content in favor of advertisers?
Answer: Yes. Though, technically, Betteridge’s Law does not apply because the question is in the abstract, not the title.
Do media outlets bias news content in favor of advertisers? We study this question by examining the relationship between advertising spending by car manufacturers in U.S. newspapers and news coverage of major safety recalls issued between 2000 and 2014. Examining car safety recalls allows us to separate the effect of advertisers’ influence from that of readers’ tastes which, in this case, should lead to more coverage as owners of recalled vehicles demand more information about the safety risks associated with the recall. Consistent with the predictions of our theoretical model, we find that recalls involving a given manufacturer receive significantly less coverage on newspapers in which that manufacturer advertised more over the previous two years. We find that pro-advertiser bias is more pronounced in markets with a single newspaper, which indicates that competition – and the related reputational concerns – mitigates capture by advertisers. Finally, increased competition for advertising revenues from online platforms makes newspapers more vulnerable to the pressure of advertisers.
Linnet Taylor, Luciano Floridi, Bart van der Sloot (editors); Group Privacy: New Challenges of Data Technologies; Philosophical Studies Series, Volume 126; Springer; 2017? 249 pages; ISBN:978-3-319-46606-4, ISBN:978-3-319-46608-8, DOI:10.1007/978-3-319-46608-8
tl;dr → problematizing the space; privacy doesn’t work is in opposition to itself in a group setting.
A New Perspective on Privacy
Linnet Taylor, Luciano Floridi, Bart van der Sloot
Safety in Numbers?
Group Privacy and Big Data Analytics in the Developing World
Group Privacy in the Age of Big Data
Lanah Kammourieh, Thomas Baar, Jos Berens, Emmanuel Letouzé, Julia Manske, John Palmer, David Sangokoya, Patrick Vinck
Beyond “Do No Harm” and Individual Consent
Reckoning with the Emerging Ethical Challenges of Civil Society’s Use of Data
Nathaniel A. Raymond
A Defence and an Interpretation
Social Machines as an Approach to Group Privacy
Kieron O’Hara, Dave Robertson
Indiscriminate Bulk Data Interception and Group Privacy: Do Human Rights Organisations Retaliate Through Strategic Litigation?
From Group Privacy to Collective Privacy
Towards a New Dimension of Privacy and Data Protection in the Big Data Era
The Group, the Private, the Individual
A New Level of Data Protection?
Genetic Classes and Genetic Categories
Protecting Genetic Groups Through Data Protection Law
Dara Hallinan, Paul de Hert
Do Groups Have a Right to Protect Their Group Interest in Privacy and Should They?
Peeling the Onion of Rights and Interests Protected Under Article 8 ECHR
Bart van der Sloot
Conclusion: What Do We Know About Group Privacy?
Linnet Taylor, Bart van der Sloot, Luciano Floridi
Some Authors; Some Paper; WHEN?; ssrn:2792565.
tl;dr → upon the domain of urban planning.
The Suitcase Words
different disciplinary perspectives
[to be] subject to a policy intervention,
a.k.a. <quote>guinea pig for an experiment</quote>, necessarily a metaphorical reference because a data subject is not a guinea pig (Cavia porcellus)
ad hoc collectives,
ad hoc collectives create,
AI and algorithmic methods create ad hoc collective