Annotation

232 pages

English language

Published Dec. 15, 2021 by MIT Press.

ISBN:
978-0-262-53992-0
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3 stars (5 reviews)

1 edition

Review of 'Annotation' on 'Goodreads'

No rating

An interesting little book that examines annotation as a genre. I typically think of, and am interested in, annotation as an aspect of a close reading of written text that extends from the history of exegesis of sacred text and literature. But this book explores annotation from a far wider scope to include the digital labeling of data sets for training machine learning algorithms and as a tool for fact checking or civic advocacy and improvement. I found it a bit dry at times but found myself later making connections to the book when reading articles about Google deep learning networks annotating brain scans or when using an automated citation manager that needs to be checked to ensure labels are accurate. I have also started using Hypothesis, an open source annotation software that works pretty seamless as an overlay in a web browser. Annotation is much more deeply interwoven and …

Review of 'Annotation' on 'Goodreads'

4 stars

I think about annotation quite a bit, but this book had a lot of interesting pieces I hadn't come across before. I like the way it framed chunks of social media as digital annotation from a broader perspective. It also lists some interesting tools and projects that are worth looking into further.

I'll note that I was reading a pre-publication version of the text which may likely change before it's published as a physical book. I'm hoping the digital online version I read will have a way to make it obvious to see what changed from the version I read and the final version of the text.

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rated it

4 stars
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rated it

4 stars
avatar for pivic

rated it

4 stars