New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism
July 13, 2018 ยท Declared Dead ยท ๐ Social Informatics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
arXiv ID
1807.05151
Category
cs.CL: Computation & Language
Cross-listed
cs.IR
Citations
11
Venue
Social Informatics
Last Checked
5 months ago
Abstract
Investigative journalism in recent years is confronted with two major challenges: 1) vast amounts of unstructured data originating from large text collections such as leaks or answers to Freedom of Information requests, and 2) multi-lingual data due to intensified global cooperation and communication in politics, business and civil society. Faced with these challenges, journalists are increasingly cooperating in international networks. To support such collaborations, we present the new version of new/s/leak 2.0, our open-source software for content-based searching of leaks. It includes three novel main features: 1) automatic language detection and language-dependent information extraction for 40 languages, 2) entity and keyword visualization for efficient exploration, and 3) decentral deployment for analysis of confidential data from various formats. We illustrate the new analysis capabilities with an exemplary case study.
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