Detecting and Using Buzz from Newspapers to Understand Patterns of Movement
- Resource Type
- Conference
- Authors
- Hocket, Julia; Liu, Yaguang; Wei, Yifang; Singh, Lisa; Schneider, Nathan
- Source
- 2018 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2018 IEEE International Conference on. :5336-5338 Dec, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Transportation
Correlation
Semantics
Vocabulary
Dictionaries
Conferences
Big Data
Open source software
- Language
Meaningful leading indicators of mass movement are difficult to discover given the dearth of available data about involuntary movement. As a first step, we propose analyzing whether we can use the changing dynamics of newspaper content as one possible indirect indicator of such displacement. Specifically, we explore whether news media buzz correlates with patterns of migration in Iraq. We consider different methods for detecting buzz and empirically evaluate them on a corpus of 1.4 million articles.