Johannes Kiesel

I studied computer science at the Bauhaus-Universität Weimar. I then joined the Webis group as a PhD student in 2014 after successfully defending my master thesis.

My main areas of interest are data mining, information retrieval, and reproducibility. I'm the main developer of publicly available tools for web archiving, web page content extraction, historical IP geolocation, and collecting human annotations. I'm the main responsible person for the SemEval/PAN 2019 Task for Hyperpartisan News Detection.

At the Bauhaus-Universität Weimar, I have served as member of the search committee for the professorship Intelligent Software Systems (2015). I have been repeatedly teaching assistant for the lectures Search Algorithms (2014), Databases (2015, 2016, 2017, 2018), and Web Technology (foundations: 2016, 2017, 2018). I mentored several student theses.

I have served on the program committees of CHI (2019) and on the Web Conference alternate track on Journalism, Misinformation, and Fact Checking (2018).