ZHAW Digital Discourse Lab๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐๐ผ๐ ๐๐๐ฒ ๐๐ต๐ฒ ๐ฆ๐๐ถ๐๐-๐๐ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐ฎ๐ ๐ฎ๐ป ๐ฎ๐๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต?๐ฌ
Lab members Julia Krasselt and Philipp Dreesen have published a paper on the platform's #analysispossibilities.
โก๏ธ๐ฌ๐ผ๐ ๐ฐ๐ฎ๐ป ๐ฎ๐ฐ๐ฐ๐ฒ๐๐ ๐๐ต๐ฒ ๐ฝ๐ฎ๐ฝ๐ฒ๐ฟ ๐ต๐ฒ๐ฟ๐ฒ๐ฉ:
https://link.springer.com/article/10.1007/s11616-023-00785-9
In Swiss-AL, you can analyze vast amounts of data in just a few steps: the platform contains around 4.5 billion words in 4 languages & includes texts from various fields like journalistic media, politics & administration, business, science, & civil society.
Swiss-AL: Plattform fรผr Sprachdaten zur Analyse รถffentlicher Kommunikation in der Schweiz - Publizistik
The paper presents Swiss-AL (=โฏSwiss-Applied Linguistics), a platform for research on public communication in Switzerland, which is developed and provided at the Zurich University of Applied Sciences (ZHAW). Swiss-AL contains around 4.5 billion words in four languages (German, French, Italian, Romansh). It includes texts published online from the fields of journalistic media, politics & administration, business, science, and civil society. Swiss-AL was developed for discourse studies but is equally an important database for communication and media studies, for example for quantitatively oriented/standardised media content research. Swiss-AL is currently being developed into an open research data resource for the applied sciences. This includes the further development of a browser-based workbench (access: www.swiss-al.linguistik.zhaw.ch ) that allows access to the data and meets the requirements of data and copyright protection in Switzerland and the EU. The article presents the aggregating analysis options that this workbench currently provides and that are particularly applicable to content analysis questions. The article concludes with an outlook on future developments in the area of Open Research Data and outlines planned implementations of FAIR principles.
