NewsKDD 2014 - NewsKDD ? "Data Science for News Publishing"

News publishing is a domain with a lot of specifics related to data processing spanning interdisciplinary across many fields of data related research. The aim of this workshop is to cover data analytic/mining research, approaches and solutions for numerous data challenges related to news publishing. The key categories of data analytic challenges in news publishing include areas like:
editorial support (media monitoring, data journalism, news bias),
content management (search, ranking, semantics),
user management (user profiling, recommendation, social media),
visualization,
archives,
standardization, and
The workshop will be structured as a set of sections including: what news publishers’ R&Ds are doing, live system demos, contributed short papers, invited talks, and the panel. The workshop will be video-recorded and published on videolectures.net.
Target audience will be data researchers and professionals from publishing industry (being extensively present in New York). Some of the categories include:
Data scientists from publishing houses of all types
Journalists, editors and bloggers operating in online publishing
Data Journalists and Info-graphics creators
Software engineers from publishing houses or vendor companies
Researchers and students in social sciences related to news domain
Broader public interested in advances in data analytics for news publishing