FACT: a Framework for Analysis and Capture of Twitter Graphs. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (SNAMS, 2019)

Graph-based Feature Selection Filter Utilizing Maximal Cliques. - Daniel Thilo Schroeder; Kevin Styp-Rekowski; Florian Schmidt 006; Alexander Acker; Odej Kao (SNAMS, 2019)

A System for High Performance Mining on GDELT Data. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Johannes Langguth (IPDPS Workshops, 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 (MediaEval, 2020)

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (MediaEval, 2020)

Resource Efficient Algorithms for Message Sampling in Online Social Networks. - Luk Burchard; Daniel Thilo Schroeder; Sören Becker 001; Johannes Langguth (SNAMS, 2020)

A Scalable System for Bundling Online Social Network Mining Research. - Luk Burchard; Daniel Thilo Schroeder; Konstantin Pogorelov; Sören Becker 001; Emily Dietrich; Petra Filkuková; Johannes Langguth (SNAMS, 2020)

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Stefan Brenner; Johannes Langguth (OASIS@HT, 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 (ICAART (2), 2021)

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Johannes Langguth (MediaEval, 2021)

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. - Luk Burchard; Johannes Moe; Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (ISC, 2021)

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. - Andreas Huber; Daniel Thilo Schroeder; Konstantin Pogorelov; Carsten Griwodz; Johannes Langguth (IPDPS Workshops, 2022)

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. - Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schroeder; Johannes Langguth (IPDPS Workshops, 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 (MediaEval, 2022)

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Asep Maulana; Johannes Langguth (MediaEval, 2022)

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. - Kenneth Langedal; Johannes Langguth; Fredrik Manne; Daniel Thilo Schroeder (SEA, 2022)

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)

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., 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., 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., 2023)

iPuma: High-Performance Sequence Alignment on the Graphcore IPU. - Max Xiaohang Zhao; Luk Burchard; Daniel Thilo Schroeder; Johannes Langguth; Xing Cai (ISC, 2024)

GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs. - Daniel Thilo Schroeder; Tobias Herb; Brian Elvesæter; Dumitru Roman (ICPE (Companion), 2024)

Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. - Rohullah Akbari; Daniel Thilo Schroeder; Petra Filkuková; Johannes Langguth (IPDPS (Workshops), 2025)

How Malicious AI Swarms Can Threaten Democracy. - Daniel Thilo Schroeder; Meeyoung Cha; Andrea Baronchelli; Nick Bostrom; Nicholas A. Christakis; David García 001; Amit Goldenberg; Yara Kyrychenko; Kevin Leyton-Brown; Nina Lutz; Gary Marcus 001; Filippo Menczer; et al. (CoRR, 2025)