Daniel Thilo Schroeder

According to our database, Daniel Thilo Schroeder authored at least 20 papers between 2019 and 2023.

Collaborative distances:

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

2023

COCO: an annotated Twitter dataset of COVID-19 conspiracy theories.

Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov

J. Comput. Soc. Sci., October, 2023

COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire.

Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov

Int. J. Data Sci. Anal., April, 2023

Social media in the Global South: A Network Dataset of the Malian Twittersphere.

Daniel Thilo Schroeder, Mirjam de Bruijn, Luca Bruls, Mulatu Alemayehu Moges, Samba Dialimpa Badji, Noémie Fritz, Modibo Galy Cisse, Johannes Langguth, Bruce Mutsvairo, Kristin Skare Orgeret

J. Data Min. Digit. Humanit., March, 2023

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions.

Kaspara Skovli Gåsvær, Pedro G. Lind, Johannes Langguth, Morten Hjorth-Jensen, Michael Kreil, Daniel Thilo Schroeder

CoRR, 2023

2022

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks.

Kenneth Langedal, Johannes Langguth, Fredrik Manne, Daniel Thilo Schroeder

Proceedings of the 20th International Symposium on Experimental Algorithms, 2022

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022.

Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022.

Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs.

Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data.

Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs.

Luk Burchard, Johannes Moe, Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the High Performance Computing - 36th International Conference, 2021

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021.

Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets.

Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková, Konstantin Pogorelov, Johannes Langguth

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets.

Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Johannes Langguth

Proceedings of the OASIS@HT 2021: Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks, 2021

2020

A Scalable System for Bundling Online Social Network Mining Research.

Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková, Johannes Langguth

Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Resource Efficient Algorithms for Message Sampling in Online Social Networks.

Luk Burchard, Daniel Thilo Schroeder, Sören Becker, Johannes Langguth

Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation.

Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020.

Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkuková, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

A System for High Performance Mining on GDELT Data.

Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Johannes Langguth

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

Graph-based Feature Selection Filter Utilizing Maximal Cliques.

Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

FACT: a Framework for Analysis and Capture of Twitter Graphs.

Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019