Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

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

Vitenskapelig artikkel

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

Doktorgradsavhandling

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

Vitenskapelig foredrag

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

Faglig foredrag

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

Vitenskapelig antologi/Konferanseserie

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

Rapport

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

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