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In this project we take a Natural Language Processing approach to analyse the content of reports submitted to the Everyday Sexism project.
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The Everyday Sexism Project documents everyday examples of sexism reported by volunteer contributors from all around the world. It has reached 100,000 entries in 13+ languages within 3 years of its existence. The content of reports in various languages submitted to Everyday Sexism is a valuable source of crowdsourced information with great potential for feminist and gender studies. Hitherto there has been no large-scale computational study to analyse and map the content of the reports.
In this project we take a Natural Language Processing approach to analyse the content of reports in different languages. We will use topic-modelling techniques to extract the most evident topics and concepts related to sexism emerging from the reports, and to map the semantic relations between those topics within and across different languages. Sexism can materialise in different forms and shapes in different cultures and geographies. In this project we try to reveal the most common types of sexism and more importantly how they relate to each other and how they change from one language/country to another.
Funder
This project is funded by the John Fell Oxford University Press (OUP) Research Fund.
Latest blog posts
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“If you’re on Twitter then you’re asking for it” — responses to sexual harassment online and offline
Date Published: 24 February 2017 - 2:00 pm
Authors: David Sutcliffe
Conversation between Laura Bates, Judy Wajcman (speaking) and Helen Margetts, at the Everyday Sexism Datahack, organised by the OII to encourage creative engagement with ... Read More “If you’re on Twitter then you’re asking for it” — responses to sexual harassment online and offline
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Sexism Typology: Literature Review
Date Published: 31 May 2016 - 9:26 am
Authors: Sophie Melville
The Everyday Sexism Project catalogues instances of sexism experienced by women on a day to day basis. We will be using computational techniques to extract the most ... Read More Sexism Typology: Literature Review
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Topic modelling content from the “Everyday Sexism” project: what’s it all about?
Date Published: 3 March 2016 - 9:19 am
Authors: Taha Yasseri
We recently announced the start of an exciting new research project that will involve the use of topic modelling in understanding the patterns in submitted stories to the Everyday ... Read More Topic modelling content from the “Everyday Sexism” project: what’s it all about?
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Dr Kathryn Eccles
Oxford Internet Institute, University of Oxford
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Dr Taha Yasseri
Oxford Internet Institute, University of Oxford
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Sophie Melville
Research Assistant, Oxford Internet Institute, University of Oxford
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“If you’re on Twitter then you’re asking for it” — responses to sexual harassment online and offline
Date Published: 24 February 2017 - 2:00 pm
Authors: David Sutcliffe
Conversation between Laura Bates, Judy Wajcman (speaking) and Helen Margetts, at the Everyday Sexism Datahack, organised by the OII to encourage creative engagement with ... Read More “If you’re on Twitter then you’re asking for it” — responses to sexual harassment online and offline
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Sexism Typology: Literature Review
Date Published: 31 May 2016 - 9:26 am
Authors: Sophie Melville
The Everyday Sexism Project catalogues instances of sexism experienced by women on a day to day basis. We will be using computational techniques to extract the most ... Read More Sexism Typology: Literature Review
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Topic modelling content from the “Everyday Sexism” project: what’s it all about?
Date Published: 3 March 2016 - 9:19 am
Authors: Taha Yasseri
We recently announced the start of an exciting new research project that will involve the use of topic modelling in understanding the patterns in submitted stories to the Everyday ... Read More Topic modelling content from the “Everyday Sexism” project: what’s it all about?
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Creating a semantic map of sexism worldwide: topic modelling of content from the “Everyday Sexism” project
Date Published: 7 October 2015 - 11:56 am
Authors: Taha Yasseri
The Everyday Sexism Project catalogues instances of sexism experienced by women on a day to day basis. We will be using computational techniques to extract ... Read More Creating a semantic map of sexism worldwide: topic modelling of content from the “Everyday Sexism” project
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These Computer Scientists Are Making a ‘Global Map of Sexism’
Date Published: 9 October 2015
Source: VICE Motherboard
In an innovative project, physicist Taha Yasser and fellow OII humanities based researchers are using data from the Every Day Sexism project to produce the first data-driven map charting global sexism