Janina Pohl

According to our database, Janina Pohl authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A study on the effects of normalized TSP features for automated algorithm selection.

Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke

Theor. Comput. Sci., 2023

Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.

Lucas Stampe, Janina Pohl, Christian Grimme

Proceedings of the Disinformation in Open Online Media, 2023

Lost in Transformation: Rediscovering LLM-Generated Campaigns in Social Media.

Britta Grimme, Janina Pohl, Hendrik Winkelmann, Lucas Stampe, Christian Grimme

Proceedings of the Disinformation in Open Online Media, 2023

Invasion@Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War between Russia and Ukraine in 2022.

Janina Susanne Pohl, Simon Markmann, Dennis Assenmacher, Christian Grimme

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Immunize the Public against Disinformation Campaigns: Developing a Framework for Analyzing the Macrosocial Effects of Prebunking Interventions.

Johanna Klapproth, Saïd Unger, Janina Pohl, Svenja Boberg, Christian Grimme, Thorsten Quandt

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.

Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, Mike Preuss

Proceedings of the Disinformation in Open Online Media, 2022

Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.

Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme

Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

2021

On the potential of normalized TSP features for automated algorithm selection.

Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke

Proceedings of the FOGA '21: Foundations of Genetic Algorithms XVI, 2021

2020

Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.

Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.

Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme

Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020