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Studying the Everyday Sexism project using topic modeling.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Sexism.
- Social sciences--Research.
- Social sciences.
- Social sciences--Data processing.
- Social sciences--Mathematical models.
- Physical Description:
- 1 online resource (1 video file (00:32:44)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Taha Yasseri, PhD, Senior Research Fellow in Computational Social Science at the Oxford Internet Institute and faculty fellow at the Alan Turing Institute for Data Science, discusses the Everyday Sexism project, including the origins of this research; the methods used; data access, collection, and cleaning; challenges in collection and cleaning; data analysis; verifying the validity of the topics; surprising results; the relation between theory and empirical work; how the findings were shared; lessons learned; and continuation or expansion of the project.
- Participant:
- Academic, Taha Yasseri PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526499745
- OCLC:
- 1103478980
- Access Restriction:
- Restricted for use by site license.
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