Data, Content, Context, Slop

There are many stakeholders in the information economy. For decades, creators, workers, market intermediaries, media companies, and digital platforms have tussled over how information, articulated in different forms such as “works”, “content”, or “knowledge”, can be monetised and who should benefit. More recently, AI firms have entered this contest over how to define and justify the forms of profit that can be drawn off information as it flows from creators to consumers via intermediaries, platforms, and AI models.

Authors

Publication Details

Published
2026-10-26
DOI
https://doi.org/10.59704/018b82ccc41c3891
Primary Topic
Intellectual Property Rights and Media
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Data, Content, Context, Slop

Jake Goldenfein
Intellectual Property Rights and Media
preprint

Data, Content, Context, Slop

Jake Goldenfein
preprint en

Abstract

There are many stakeholders in the information economy. For decades, creators, workers, market intermediaries, media companies, and digital platforms have tussled over how information, articulated in different forms such as “works”, “content”, or “knowledge”, can be monetised and who should benefit. More recently, AI firms have entered this contest over how to define and justify the forms of profit that can be drawn off information as it flows from creators to consumers via intermediaries, platforms, and AI models.

Intellectual Property Rights and Media
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.

Laika access coming soon
Data, Content, Context, Slop — Jake Goldenfein · (2026) | TGRS Research Map | TGRS