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2016 | OriginalPaper | Chapter

The Morality Machine: Tracking Moral Values in Tweets

Authors : Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens, Fons Verbeek

Published in: Advances in Intelligent Data Analysis XV

Publisher: Springer International Publishing

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Abstract

This paper introduces The Morality Machine, a system that tracks ethical sentiment in Twitter discussions. Empirical approaches to ethics are rare, and to our knowledge this system is the first to take a machine learning approach. It is based on Moral Foundations Theory, a framework of moral values that are assumed to be universal. Carefully handcrafted keyword dictionaries for Moral Foundations Theory exist, but experiments demonstrate that models that do not leverage these have similar or superior performance, thus proving the value of a more pure machine learning approach.

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Metadata
Title
The Morality Machine: Tracking Moral Values in Tweets
Authors
Livia Teernstra
Peter van der Putten
Liesbeth Noordegraaf-Eelens
Fons Verbeek
Copyright Year
2016
Book
Advances in Intelligent Data Analysis XV

Print ISBN: 978-3-319-46348-3

Electronic ISBN: 978-3-319-46349-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46349-0_3

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