News Media and Violence Against Women: Understanding Framings of Stigma

Data Sources

• NELA-GT [Link-2020]; [Link-2021]; [Link-2022]
• NELA-Local [Link-Full]

Data Preparation

Use data-prep/create_csv.py and data-prep/filter_data.py to filter and clean the downloaded NELA-GT and NELA-Local datasets.

Approval/Stigma embeddings

Embeddings for approval and stigma dimensions available at embds/approvalEmd.pkl and embds/stigmaEmd.pkl

Followed Mittal and De Choudhury (2023) to get the approval/stigma embeddings.

Approval/Stigma score alignment

• Run get_doc_embds.py to get sentence-level BERT embeddings for news articles within NELA-GT and NELA-Local datasets.
• Run get_stigma_alignment.py to generate approval/stigma cosine similarity alignment scores for the news articles.

References

Mittal, S.; and De Choudhury, M. 2023. Moral Framing of Mental Health Discourse and Its Relationship to Stigma: A Comparison of Social Media and News. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23).