Skip to content
169 HD – AI decides what to see
19 May 2021| doi: 10.5281/zenodo.4751739

Myth: AI algorithms decide what you see online

There’s more than one myth about algorithmic visibility regimes: one posits that AI algorithms are tools used unilaterally by corporations to control what we see;  the other argues that these algorithms are mere mirrors, and we are the ones who control what we see online.

Myth

AI algorithms decide what you see online.

Some say that AI algorithms decide what we see online; others argue that algorithms just do what we tell them to do. Neither idea is really accurate. What we see online is the result of several relationships between several actors and things — users and algorithms but also platforms, coders, data, interfaces etc. It is key to understand the inequality that marks these relationships.

Watch the talk

Materials

Presentation
KEY LITERATURE

Bucher, T. (2018). IF…THEN: Algorithmic power and politics. Oxford: Oxford University Press.

Gillespie, T. (2013). The relevance of algorithms. In T. Gillespie, J. B. Pablo & K. A. Foot (Eds.), Media technologies: Essays on communication, materiality, and society (pp. 167-193). Cambridge, MA: MIT Press.

Introna, L. and H. Nissenbaum (2000). “Shaping the Web: Why the Politics of Search Engines Matters.” The Information Society 16(3): 1-17.
UNICORN IN THE FIELD

The Social Media Collective is ‘a network of social science and humanistic researchers’, funded by Microsoft but working on their own independent agendas. Much of what they do concerns the broad field of platforms’ algorithmic visibility, and often helps steer debates on the theme.

About the author

João Magalhães | HIIG

João Carlos Magalhães

Senior researcher at the Alexander von Humboldt Institute for Internet and SocietyMuch of João’s work explores the political and moral ramifications of algorithmic media and technologies. At the HIIG, he heads an EU-funded project that is mapping out social media platforms’ governance structures, with a focus on copyright policies and automated filters. In 2020, he was awarded a fellowship from the Wikimedia Foundation to help create an open database of platforms’ policies.


Why, AI?

This post is part of our project “Why, AI?”. It is a learning space which helps you to find out more about the myths and truths surrounding automation, algorithms, society and ourselves. It is continuously being filled with new contributions.

Explore all myths


This post represents the view of the author and does not necessarily represent the view of the institute itself. For more information about the topics of these articles and associated research projects, please contact info@hiig.de.

João Carlos Magalhães, Dr.

Former Senior Researcher: The evolving digital society

Sign up for HIIG's Monthly Digest

HIIG-Newsletter-Header

You will receive our latest blog articles once a month in a newsletter.

Explore Research issue in focus

Du siehst Eisenbahnschienen. Die vielen verschiedenen Abzweigungen symbolisieren die Entscheidungsmöglichkeiten von Künstlicher Intelligenz in der Gesellschaft. Manche gehen nach oben, unten, rechts. Manche enden auch in Sackgassen. Englisch: You see railway tracks. The many different branches symbolise the decision-making possibilities of artificial intelligence and society. Some go up, down, to the right. Some also end in dead ends.

Artificial intelligence and society

The future of artificial Intelligence and society operates in diverse societal contexts. What can we learn from its political, social and cultural facets?

Further articles

The photo shows a close-up of a spiral seashell. This symbolises complexity and hidden layers, representing AI’s environmental impact across its full life cycle.

Blind spot sustainability: Making AI’s environmental impact measurable

AI's environmental impact spans its entire life cycle, but remains a blind spot due to missing data and limited transparency. What must change?

The photo shows an old television set standing in the middle of a forest, symbolising the hidden environmental cost of digital technology and the concept of the digital metabolic rift.

The digital metabolic rift: Why do we live beyond our means online?

We cut plastic and fly less, but scroll and stream nonstop. The digital metabolic rift reveals why our eco-awareness ends where the digital begins.

The photo shows a brown cow running freely, representing how data governance helps cities and municipalities escape the digitalisation backlog and enter the digital fast lane.

Escaping the digitalisation backlog: data governance puts cities and municipalities in the digital fast lane

The Data Governance Guide empowers cities to develop data-driven services that serve citizens effectively.