Topics
We would like to explore the minimal perturbations required for each of the DS+J subfields to start developing a joint agenda. Specifically, the goal of the DS+J workshop is to identify different research angles at the intersection of data science and journalism, with topics spanning from analyzing the data of a news source (e.g., Panama papers) to analyzing public discourse (e.g., reactions to a specific piece of news). Topics of interest include but are not limited to:
- Computational journalism and data science tools for journalists
- Data journalism
- Data visualization for news
- Data-driven storytelling
- Journalism for social good
- Fact checking
- Curation and annotation
- Analysis of news and media
- Fake news
- Opinion mining
- Argument mining
- Computational propaganda
- Discourse analysis and the role of news in political discourse
- Epochs and styles of journalism
- Effect of technology/digitalization/social media on news
- Pay models for news media
- Personalization and news recommendations
- Filter bubbles
- Algorithmic accountability
- Dissemination of news through social media
- News summarization and timeline generation
- Advanced news applications
- Virtual reality for journalism
- Drones as journalistic tool
- Automated story writing and robot journalism