Introduction
Data-driven journalism, or data journalism, is defined as the practice of obtaining, reporting on, organizing, editing, and publishing data in the public interest, which involves collaboration in the use of statistical, computer
science, visualization, designing, and news reporting techniques.
—— Stray, 2011; Coddington, 2015
As a response to such an emerging trend in the industry, the School of Communication and the Department of Journalism at the Hong Kong Baptist University are going to organize a University-wide data-driven storytelling competition. It aims to facilitate the interdisciplinary teaching, learning, and discussion on data-driven reporting, as well as to identify exemplary projects using emerging technologies.
This year we have:
9 Jury members
50 participants U-wide
14 submissions in total -- 3 videos + 6 webs + 5 written stories
1 winner +
3 honorable mentions
