Conference abstract

• Petra Filkukova; Peter Ayton; Johannes Langguth (2023). Motivated reasoning in the evaluation of news quality. (external link)

Academic article

• Daniel Thilo Schroeder; Mirjam de Bruijn; Luca Bruls et al. (2023). Social media in the Global South: A Network Dataset of the Malian Twittersphere. (external link)
• Stefan Brenner; Daniel Thilo Schroeder; Johannes Langguth (2023). GECO: A Twitter Dataset of COVID-19 Misinformation and Conspiracy Theories Related to the Berlin Parliament and Washington Capitol Riots. (external link)
• Hans-Martin Straume; Frank Asche; Atle Oglend et al. (2022). Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. (external link)
• Petra Filkukova; Johannes Langguth (2021). Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2022). Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. (external link)
• Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Luk Bjarne Burchard et al. (2020). FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2020). A System for High Performance Mining on GDELT Data. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19. (external link)
• Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets.. (external link)
• Johannes Langguth; Daniel Thilo Schroeder; Petra Filkukova et al. (2023). COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). Wico text: a labeled dataset of conspiracy theory and 5g-corona misinformation tweets. (external link)
• Daniel Thilo Schroeder; Johannes Langguth; Luk Burchard et al. (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. (external link)
• Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2019). Fact: a framework for analysis and capture of twitter graphs. (external link)
• Asep Maulana; Konstantin Pogorelov; Daniel Thilo Schroeder et al. (2022). Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. (external link)
• Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2023). Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. (external link)
• Luk Bjarne Burchard; Johannes Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (external link)
• Zeyu Xue; Mei Wen; Jianchao Yang et al. (2025). SSpMM: Efficiently Scalable SpMM Kernels Across Multiple Generations of Tensor Cores. (external link)
• Johannes Langguth; Xing Cai (2015). Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. (external link)
• Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2020). Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation. (external link)
• James David Trotter; Johannes Langguth; Xing Cai (2023). Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. (external link)
• Luk Bjarne Burchard; Kristian Gregorius Hustad; Johannes Langguth et al. (2023). Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation. (external link)
• Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2026). The 5G COVID-19 Digital Wildfire: An evolving network of Twitter contacts to explore phase transition metaphors in viral misinformation. (external link)
• Bruce Mutsvairo; Kristin Skare Orgeret; Mirjam de Bruijn et al. (2025). The Messenger (not the Medium) Is the Message? Uncovering Journalists’ Perceptions of Digital Disinformation in Conflict Countries. (external link)
• Johannes Langguth; Petra Filkukova; Stefan Brenner et al. (2022). COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2021). FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. (external link)
• Kenneth Langedal; Johannes Langguth; Fredrik Manne et al. (2022). Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. (external link)

Academic book chapter

• Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets.. (external link)
• Jakob Gerhardt; Johannes Langguth (2025). Solution of Backtracking Problems on Tile-Centric AI Accelerators. (external link)
• Qiang Lan; Namit Gaur; Johannes Langguth et al. (2015). Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. (external link)
• Md. Naim; Fredrik Manne; Mahantesh Halappanavar et al. (2015). Optimizing Approximate Weighted Matching on Nvidia Kepler K40. (external link)
• Max Zhao; Luk Bjarne Burchard; Daniel Thilo Schroeder et al. (2024). iPuma: High-Performance Sequence Alignment on the Graphcore IPU. (external link)
• Daniel Thilo Schroeder; Pedro Lind; Konstantin Pogorelov et al. (2021). A Framework for Interaction-based Propagation Analysis in Online Social Networks. (external link)
• Luk Burchard; Xing Cai; Johannes Langguth (2021). iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. (external link)
• Andreas Huber; Daniel Thilo Schröder; Konstantin Pogorelov et al. (2022). A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. (external link)
• Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schröder et al. (2022). Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. (external link)
• James David Trotter; Sinan Ekmekçibaşı; Doğan Sağbili et al. (2025). CPU- and GPU-initiated Communication Strategies for Conjugate Gradient Methods on Large GPU Clusters. (external link)
• Johannes Langguth; James David Trotter; Xing Cai (2025). Modelling Load Imbalance In Shared Memory Multicore Systems. (external link)
• Rohullah Akbari; Daniel Thilo Schroeder; Petra Filkukova et al. (2025). Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. (external link)
• Jeremie Alexandre Emilien Lagraviere; Johannes Langguth; Mohammed Sourouri et al. (2016). On the performance and energy efficiency of the PGAS programming model on multicore architectures. (external link)
• Johannes Langguth; Aigar Tumanis; Ariful Azad (2022). Incremental Clustering Algorithms for Massive Dynamic Graphs. (external link)
• Mohammed Sourouri; Johannes Langguth; Filippo Spiga et al. (2015). CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. (external link)
• Luk Burchard; Johannes Sellæg Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (external link)

Conference lecture

• Petra Filkukova; Johannes Langguth (2021). How adolescents and senior citizens evaluate fake news. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Motivated reasoning in the evaluation of news quality. (external link)
• Johannes Langguth; Petra Filkukova; Daniel Thilo Schroeder et al. (2021). Will technical means help in preventing digital wildfires?. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Sociodemographic attributes, media consumption and susceptibility to fake news. (external link)
• Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (external link)

Research report

• Jeremie Alexandre Emilien Lagraviere; Martina Prugger; Lukas Einkemmer et al. (2016). Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC. (external link)

Lecture

• Berntzen Samuel; Karim Tamssaouet; Johannes Langguth (2021). Connected k-Dominating Sets for Locating fast-charging stations. (external link)

Doctoral thesis (PhD)

• Daniel Thilo Schroeder; Johannes Langguth; Carsten Griwodz et al. (2022). Explaining News Spreading Phenomena in Social Networks : From Data Acquisition and Processing to Network Analysis and Modelling. (external link)

Book anthology

• Luk Bjarne Burchard; Daniel Thilo Schroeder; Soeren Becker et al. (2020). Resource Efficient Algorithms for Message Sampling in Online Social Networks. (external link)

See a complete overview of publications in NVA.