Missing Data as Political Force

In today’s society, data shapes how states and corporations treat people. It is closely connected to questions of economic, cultural and political representation and equality. Particularly marginalised groups depend on adequate representation in the data that shapes social and political life. At the same time, as the current pressure on democracy reminds us, data embodies a paradox of exposure: it can offer recognition and oppression. Drawing on theories of social and data justice, this article constitutes ‘missing data’ as a political force and proposes an analytical framework to deal with it. Building on Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, it shows how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation. It demonstrates how missing data operates as a driver of inequality, while emphasising the need for digital sovereignty, democratic data work, counterdata practices, and political action.

Authors

Institutions

Publication Details

Journal
DIID
Published
2026-02-09
DOI
https://doi.org/10.30682/diid8725c
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Missing Data as Political Force

Max Frischknecht
DIID
Ethics and Social Impacts of AI
article

Missing Data as Political Force

Max Frischknecht
article en

Abstract

In today’s society, data shapes how states and corporations treat people. It is closely connected to questions of economic, cultural and political representation and equality. Particularly marginalised groups depend on adequate representation in the data that shapes social and political life. At the same time, as the current pressure on democracy reminds us, data embodies a paradox of exposure: it can offer recognition and oppression. Drawing on theories of social and data justice, this article constitutes ‘missing data’ as a political force and proposes an analytical framework to deal with it. Building on Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, it shows how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation. It demonstrates how missing data operates as a driver of inequality, while emphasising the need for digital sovereignty, democratic data work, counterdata practices, and political action.

DIID(87)
Lucerne University of Applied Sciences and Arts (CH)
Reduced inequalities
Openalex Percentile: Top 64%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Missing Data as Political Force — Max Frischknecht · DIID (2026) | TGRS Research Map | TGRS