Problem Description

Social media have become an integral part of everyday life. It is therefore not surprising to see an increasing number of conversations taking place on social networking sites such as Twitter. In comparison to Facebook, Twitter is a platform oriented toward individual statements, whereby the most diverse points of view lead to conversation. Considering suitable Twitter data, which provides the construction of conversation graphs and superordinate information such as the thematic separation and the embedding of users in a corresponding social network, the question arises as to how argumentative and high- quality the debates carried out on Twitter turn out to be.

Therefore, taking into account the characteristics of argumentation, general statements about the debates conducted on Twitter should be drawn.

Goals

In order to make statements about argumentation on Twitter the following points must be met:

  1. review of existing methods for argument detection and data sets from the generally accepted literature
  2. testing and evaluation of the knowledge gained from point 1
  3. implementation of the knowledge gained from point 2
  4. conclusions of the methods and results obtained from point 3

Overall, methods for identifying and assessing arguments as well as their relationships to each other are to be recognized, investigated, and possibly advanced in order to draw conclusions about Twitter conversations.

Interest in social media, data analysis, programming and online argumentation

Kontakt

Marc Feger
Raum 25.12.O2.46 · marc.feger@uni-duesseldorf.de