GitHub - emmastoklee/thesis_submission: The following includes the code created and used in the thesis relating to the difference in media representation between men and women in football.

These files are used in the creation of a thesis exploring the gender bias in the media representation of women's football.

The files are organised as follows:

1 - data collection process,

2 - categorisation of the data in women's football and men's football articles,

3 - descriptive statistics of the dataset,

4 - dictionary-based analysis,

5 - pointwise mutual interest (PMI) and part of speech (POS) tagging,

6 - combining PMI and POS tagging,

7 - article examples

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
1: guardian_data_collection.ipynb		1: guardian_data_collection.ipynb
2.1: cleaning_categorisation_10-24.ipynb		2.1: cleaning_categorisation_10-24.ipynb
2.2: initial_iterations_of_categoristion.ipynb		2.2: initial_iterations_of_categoristion.ipynb
2.3: final_categorisation.ipynb		2.3: final_categorisation.ipynb
3: guardian_descriptive_statistics_final.ipynb		3: guardian_descriptive_statistics_final.ipynb
4.1: exploration_of_data_for_dictionaries.ipynb		4.1: exploration_of_data_for_dictionaries.ipynb
4.2: liwc_analysis.ipynb		4.2: liwc_analysis.ipynb
5.1: pmi_analysis.ipynb		5.1: pmi_analysis.ipynb
5.2: pmi_scores_pos_tagging_full.ipynb		5.2: pmi_scores_pos_tagging_full.ipynb
6.1: combining_pmi_pos_full.ipynb		6.1: combining_pmi_pos_full.ipynb
6.2: combining_pmi_pos_subsample.ipynb		6.2: combining_pmi_pos_subsample.ipynb
7: article_examples.ipynb		7: article_examples.ipynb
README.md		README.md
mutual_info.py		mutual_info.py