Different news articles about the same topic often offer a variety of perspectives: an article written about gun violence might emphasize gun control, while another might promote 2nd Amendment rights, and yet a third might focus on mental health issues. In communication research, these different perspectives are known as “frames”, which, when used in news media will influence the opinion of their readers in multiple ways.

This is a new dataset of news headlines and their frames related to the issue of gun violence in the United States. This Gun Violence Frame Corpus (GVFC) was curated and annotated by journalism and communication experts. The articles in this dataset are drawn from a sample of news articles from a list of 30 top U.S. news websites defined in terms of traffic to the websites; and collected from four time periods over the course of 2018 in order to capture a diversity of articles.

We include in this dataset, headlines of news articles and their annotations. We also include the codebook protocol, which includes all of the variables for annotations and their definitions that are applied by the annotators.

When using our dataset, please cite our paper

@inproceedings{liu2019gvfc,
  title={Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding {U.S.} Gun Violence},
  author={Siyi Liu and Lei Guo and Kate Mays and Margrit Betke and Derry Tanti Wijaya},
  booktitle={Proceedings of The SIGNLL Conference on Computational Natural Language Learning (CoNLL)},
  year={2019}
}