The Peak and Collapse of Digital Research
The article argues that digital research, which once promised open access and democratized knowledge, has peaked and is now collapsing due to corporate consolidation, paywall inflation, and algorithmic gatekeeping that undermine genuine scholarly inquiry.
Background
- The essay traces the rise and fall of "digital research" — the internet-era practice of amassing large-scale quantitative data (web logs, search trends, social media metrics) to study human behavior, popularized in the late 2000s/early 2010s by figures like Chris Anderson (Wired's "The End of Theory") and companies like Google.
- It argues this approach peaked around 2013–2015, then collapsed due to: platform lockdowns (APIs shut down, data put behind paywalls), the death of third-party cookies, growing privacy regulation (GDPR), and the realization that massive datasets often produced misleading or non-replicable results.
- The piece serves as a postmortem on a whole era of scholarship and tech journalism that believed "big data" would replace traditional scientific method. It matters because it explains why many once-accessible research methods are now impossible, and what that means for how we understand the internet today.
- Nemanja Trifunovic is a tech writer and analyst focused on the intersection of data, platforms, and culture.