The Cline Center Global News Index is a searchable database of textual features extracted from millions of news stories, specifically designed to provide comprehensive coverage of events around the world. In addition to searching documents for keywords, users can query metadata and features such as named entities extracted using Natural Language Processing (NLP) methods and variables that measure sentiment and emotional valence.
Archer is a web application purpose-built by the Cline Center to enable researchers to access data from the Global News Index. Archer provides a user-friendly interface for querying the Global News Index (with the back-end indexing still handled by Solr). By default, queries are built using icons and drop-down menus. More technically-savvy users can use Lucene/Solr query syntax via a ‘raw query’ option. Archer allows users to save and iterate on their queries, and to visualize faceted query results, which can be helpful for users as they refine their queries.
- Access to Archer and the Global News Index is limited to account-holders. If you are interested in signing up for an account, you can fill out the Archer User Information Form.
- Current users who would like to provide feedback, such as reporting a bug or requesting a feature, can fill out the Archer User Feedback Form.
1) To cite the GNI codebook (or any other documentation associated with the Global News Index and Archer) please use the following citation:
Cline Center for Advanced Social Research. 2020. Global News Index and Extracted Features Repository [codebook]. Champaign, IL: University of Illinois. doi:10.13012/B2IDB-5649852_V1
2) To cite data from the Global News Index (accessed via Archer or otherwise) please use the following citation (filling in the correct date of access):
Cline Center for Advanced Social Research. 2020. Global News Index and Extracted Features Repository [database]. Champaign, IL: University of Illinois. Accessed Month, DD, YYYY. doi:10.13012/B2IDB-5649852_V1