Computational Communication Science Department at ICA
At this year's conference of the International Communication Association (ICA) scientists from all over the world met in Toronto from May 25 to 29. The Computational Communication Science group was represented by 5 scientists and 6 presentations. In addition, Anke Stoll participated in the pre-conference hackathon, while Emese Domahidi and Max Schindler exchanged ideas with other scientists at the post-conference "Reimagining Urban Communication".
Participating for the first time at an ICA were Maximilian Zehring (German Corona Protest Mobilizers on Telegram and Their Relations to the Far Right: A Network and Topic Analysis with Emese Domahidi) and Felipe Barreto de Souza Martins (A Global Crisis With Divided Research Agendas? A Comparative Review of Brazilian and International Research in Communication on the Covid-19 Pandemic with Jingyuan Yu and Emese Domahidi). In particular, we congratulate Felipe Barreto de Souza Martins, who received the Best Student Paper Award from the Global Communication & Social Change Division for his comparative analysis of Brazilian and international communication research on the COVID-19 pandemic.
Anke Stoll gave two presentations on the transparent reporting of machine learning-based research projects (Reporting Supervised Machine Learning Projects in Communication Science: A Framework for Transparent Documentation on the Example of Text Classification with Michale Reiss and Lara Kobilke) and on training data bias for automatic comment classification (Uncovering Educational Bias in Crowd-Annotated Data for Automated Classification of Constructive and Uncivil Comments with Lena Wilms and Marc Ziegele). Prof. Dr. Emese Domahidi and Max Schindler presented a case study on public participation in city-centered online communities (Informal Public Participation in the Smart City: A Case-Study of City-Centered Online Communities) and an overview of concepts for studying disrespectful online communication (Hate Speech, Incivility and Related Concepts of Disrespectful Language on the Internet: A Scoping Review; Strippel et al.).