Inhaltsverzeichnis
Debate Structures Around COVID-19 on Twitter (B)
Exploring the structure, sentiment and style of debates on Twitter regarding (Fake) News about COVID-19.
Members: Felix Wende, Luis Moßburger, Kay Brinkmann
Keywords: COVID-19, Twitter, Debate Structures, Natural Language Processing
Description
This research project revolves around Natural Language Processing to determine different aspects of discussions about COVID-19, measurements and Fake News on Twitter. For that purpose, a dataset will be acquired and analysed in respect to language, (mis)information and networks that can be seen.
- Further descriptions after clarification of differention from team A -
Goals
This project aims to determine networks of information and misinformation in Twitter, make out differences in the use of language for those networks and give insights in common patterns when discussing COVID-19 related issues on Twitter.
Updates
07 Identifying of fitting methods (2021-02-05)
In the last article, we talked in depth about how we are building the corpus for our analysis. As the corpus grows, we are also thinking about fitting methods to retrieve the results we want to. (more...)
05 Study design & current state (2020-12-16)
An overview over the current state of this research project, as well as some insight into what the study design looks like and which methods will be used. (more...)
04 Roadmap (2020-12-01)
Short description of our preliminary research questions, the methods we plan on using and our planned roadmap (more...)
02 Literature Research (2020-11-18)
An overview over relevant literature & our research process regarding COVID-19-related discussions on Twitter. (more...)
01 About this project (2020-11-15)
Analysing the structure and participants of discussions about COVID-19 on Twitter. (more...)