U.S. News Map
Dados Bibliográficos
| ID | 7307906 |
|---|---|
| Autores | Jason A Heppler (0000-0003-4158-6186, autor correspondente) |
| Ano | 2017 |
| Volume | 104 |
| Fascículo | 1 |
| Páginas | 316-316 |
| Data de publicação | 2017-05-11 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Journal of American History (JOURNAL) |
| Identificadores do periódico | ISSN: 0021-8723 • E-ISSN: 1945-2314 |
| Editora | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jahist/jax166 |
| OpenAlex | W2668375699 |
| Idioma | EN |
The U.S. News Map by the Georgia Tech Research Institute and eHistory.org offers a way to explore the National Digital Newspaper Project's Chronicling America: Historic American Newspapers database through a map of papers and their location of publication between 1789 and 1922. A keyword search function reveals every location where the term appears in a newspaper publication, with points of lighter or darker hues depending on the number of hits in a particular place. Clicking on points presents a date-sorted list of newspapers with direct links to the digitized articles. This is a useful way of moving from the macro perspective of seeing all locations where a search term appears to a close reading of the articles themselves. Users are presented two additional ways of interacting with the map. One is an ability to animate a timeline to watch a search term appear in publications on a yearly, monthly, weekly, or daily interval. Users are also presented with a line chart, which appears to indicate the frequency of a search term over the range of years selected. However, no legends or explanation exist for this chart, so it is unclear what is being measured
Advertising · Chart · Function (biology · Geography · Index (typography · Information retrieval · Media studies · Newspaper · Political science · Reading (process · Sociology · Term (time · Timeline · World Wide Web · Computer Science · Digital Humanities and Scholarship · Geographic Information Systems Studies · History · Mathematics · Web Data Mining and Analysis
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |