What are algorithms? Who and what do they involve? What do they do? What is at stake with them? How can we account for them? How can we respond to them?
Following on from the Field Guide to “Fake News”, A Field Guide To Algorithms aims to gather and curate different starting points, recipes, approaches, experiments in participation and activities for collective inquiry into algorithms and the collectives, cultures, infrastructures, imaginaries and practices associated with them.
See also:
A Field Guide to “Fake News” and Other Information Disorders explores the use of digital methods to study false viral news, political memes, trolling practices and their social life online.
It responds to an increasing demand for understanding the interplay between digital platforms, misleading information, propaganda and viral content practices, and their influence on politics and public life in democratic societies.
It is a project of the Public Data Lab with support from First Draft.
The guide is freely available via the link below.
It is released under a Creative Commons Attribution license to encourage readers to freely copy, translate, redistribute and reuse the book. All the assets necessary to translate and publish the guide in other languages are available on the Public Data Lab’s GitHub page.
You can also find it on Zenodo here (DOI: 10.5281/zenodo.1136271).