Semi-automated analysis, aggregation, and visualization of user comments

research

The Forum 4.0 project builds on previous work of the SCAN-4J project with social scientists and strives for an informatics centered and interdisciplinary research partnership. The duration of the project is for three years (2018 – 2020).

Project Summary

Online user comments, such as journalistic content or product features are associated with low quality, Hate speech or even excessive demands for moderation. Forum 4.0 will develop new methods based on text analysis, machine learning (with human-in-the-loop) and Empirical Software Engineering to better exploit the constructive and deliberative potential of user comments. The aim is to systematically analyze, aggregate and visualize the content and quality of comments at runtime in order to enable constructive participation. The project builds on our previous work with social scientists and aims for an informatics-centered, interdisciplinary research network that combines the focal points “Information Governance Technologies” and “Data Science” of ahoi.digital. We foresee immense transfer potential for the media location of Hamburg.

Involved Research Institutes

Universität Hamburg HAW Informatik Hans-Bredow-Institut

Events

1st Forum 4.0 Kolloquium (in German)

We are proud to host our first interdisciplinary colloquium with local researchers in the area of semi-automated analysis, aggregation, and visualization of online user comments. We compiled an agenda with diverse talks, in which we summarize our current research state in this field. The colloquium will take place on Thursday, 11th of October 2018 at the informatics campus of the University of Hamburg, room D-220 (1. floor).

Agenda – First Forum 4.0 Kolloquium
09:15 – 09-30 Uhr Ankunft und Willkommen
09:30 – 10:45 Uhr Session 1: Bots and offensive participation (W. Maalej)
  • OpeningWalid Maalej
  • Interevent timing in automated retweet cascadesPhilipp Kessling & Christian Stöcker
  • The Anatomy of Hate Speech: Datasets, Analysis and Automatic DetectionMichael Wojatzki
  • Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in TwitterGregor Wiedemann
10:45 – 11:00 Uhr Pause
11:00 – 12:45 Uhr Session 2: Towards constructive participation (C. Biemann)
  • Tinder die Stadt: die App, die Bürger*innen (wieder) mit Lokaljournalismus verkuppeltWiebke Loosen & Julius Reimer
  • Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News CommentsMarlo Häring
  • User Comment Recommendation in Online News ForumsVolodymyr Biryuk
  • Ein Visual Analytics Framework für NutzerkommentareJakob Andersen
  • ClosingWalid Maalej
13:00 – 14:00 Uhr Get together mit drinks and finger-food
14:00 – 18:00 Uhr Internal Forum 4.0 meeting (only project members)