Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2022
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Digipower Technical Reports: Understanding Influence and Power in the Data Economy

Authors: Pidoux, Jessica; Gursky, Jacob; Bowyer, Alex; Dehaye, Paul-Olivier;

Digipower Technical Reports: Understanding Influence and Power in the Data Economy

Abstract

There is an imbalance of control over personal data between service providers and civil society. While service providers acquire knowledge and influence individuals’ behaviour through data, individuals do not own their data, and the personal data ecosystem lacks the transparency necessary to be understood. The #digipower investigation tackles this imbalance by demonstrating the data economy’s social consequences and providing solutions for a new economy in this technical report. This report is complemented by a case studies report illustrating flows and usages of data with practical examples from participants’ data. The investigation maps out the ways that personal data is collected in both the physical and the digital realms. It reveals the commercial purposes driving the data economy and how these affect our private, public and social lives. In this investigation, fifteen participants, among them members of the European and Finnish parliaments, EU and Finnish civil servants, NGO directors, and journalists, were coached through a participative methodology that is highly replicable by anyone: a learning process situated in the participants’ experiences as they recover their data through legal and technical means, to then make sense of it collectively. Using facts gathered by participants about dozens of companies like Twitter, the retailer Gigantti, Google, and newspapers like Aamulehti and Helsingin Sanomat, we introduce the concept of Infrastructural Power: the mechanisms by which providers and platforms exert their influences over today’s data economy. We explain these mechanisms and their effects using industry jargon, so that civil society can take a role in challenging power dynamics around data. Four processes explain how infrastructural power is accumulated and exerted. These are broken into 10 specific mechanisms - such as inference, ranking, and data funnelling - that involve two feedback loops influencing users’ actions and centralising data flows. Our reflective conclusions provide a manifesto and new scenarios for ensuring the data economy remains focused on the common good, including engineering design, proportionality of data collection, and social care. The other digipower report is titled "Digipower Technical Reports: Auditing the Data Economy through Personal Data Access" and available at https://doi.org/10.5281/zenodo.6554177

Keywords

data access, platforms, personal data, digital power, fair data economy, GDPR, digital rights, data economy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 76
    download downloads 50
  • 76
    views
    50
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
76
50
Green
Related to Research communities