Université Grenoble Alpes is advertising a fully-funded PhD student position (3 years) starting in October 2020 to contribute to the GenderedNews project.
GenderedNews focuses on two kinds of biases and two different measures of those biases. Sampling biases occur through the selection of a biased sample of people mentioned in the media. They can be studied by merely counting how many men and women access to public visibility on one side and by studying the framing patterns of the pictured men and women on the other side. Sourcing biases occur through the selection of a biased sample of people who, in addition to be visible, are allowed to express their views in the media. They can also be studied using the two approaches : counting how many on one side and analysing how on the other.
Within the project, the PhD student will contribute more specifically to the study of sourcing biases.
Applicants must hold a Master’s degree in Social Science or in Natural Language Processing (or be about to earn one). They are ideally expected to have a strong expertise in social science methods and a good knowledge of text mining and language processing methods. They also need to have a very good knowledge of french and english languages to be able to process text data in these two languages and conduct interviews mostly in french.
Deadline for application : July 1st, 2020