Online Influence Campaigns: Strategies and Vulnerabilities
arXiv.org
(2025)
Publications by Venue
- arXiv.org 20
- Conference on Empirical Methods in Natural Language Processing 6
- Pacific-Asia Conference on Knowledge Discovery and Data Mining 4
- Neural Information Processing Systems 4
- Canadian AI 3
- Social Network Analysis and Mining 2
- International Conference on Advances in Social Networks Analysis and Mining 2
- Data mining and knowledge discovery 2
- Asian Conference on Machine Learning 2
- Knowledge Discovery and Data Mining 2
- The Web Conference 2
- ACM Transactions on Knowledge Discovery from Data 2
- UNCERTAINLP 2
- Web Search and Data Mining 2
- AAAI Conference on Artificial Intelligence 2
- International Conference on Learning Representations 2
- Proceedings of the Fourteenth International Conference on Learning Representations (ICLR) 2
- 2010 IEEE International Conference on Data Mining Workshops 1
- Educational Data Mining 1
- Symposium on Web Systems Evolution 1
- 2011 IEEE 11th International Conference on Data Mining Workshops 1
- SKDD 1
- 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 1
- International Conference on Advanced Data Mining and Applications 1
- PLoS ONE 1
- PAKDD Workshops 1
- ECML/PKDD 1
- 2018 IEEE International Conference on Data Mining Workshops (ICDMW) 1
- Research & Politics 1
- BMC Psychiatry 1
- Canadian Journal of Political Science/Revue canadienne de science politique 1
- ACM International Conference on Bioinformatics, Computational Biology and Biomedicine 1
- Applied Network Science 1
- WNUT 1
- LatinX in AI at Neural Information Processing Systems Conference 2020 1
- Journal of Information Technology & Politics 1
- IEEE International Conference on Data Engineering 1
- Canadian Conference on AI 1
- 2021 International Conference on Data Mining Workshops (ICDMW) 1
- LatinX in AI at Neural Information Processing Systems Conference 2021 1
- SDM 1
- Findings 1
- Social Science Research Network 1
- Journal of Pharmacy and Bioallied Sciences 1
- 2022 IEEE International Conference on Data Mining Workshops (ICDMW) 1
- IEEE Transactions on Visualization and Computer Graphics 1
- International Conference on Machine Learning 1
- Trans. Mach. Learn. Res. 1
- Web Science Conference 1
- International Conference on Web and Social Media 1
- 2023 IEEE International Conference on Data Mining Workshops (ICDMW) 1
- EURALI 1
- PERSONALIZE 1
- Scientific Reports 1
- Games Res. Pract. 1
- Learning on Graph Conference 1
- Conference on Language Modeling 1
- Proceedings of the Thirty-ninth AAAI Conference on Artificial Intelligence, AI for Social Impact (AISI) track 1
- Proceedings (International Conference of the Learning Sciences) 1
- Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track 1
- Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES) 1
- Proceedings of the Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 1
- Proceedings of The Web Conference (TheWebConf), Short Paper Track 1
- Proceedings of the Canadian Conference on Artificial Intelligence (Canadian AI) 1
- SSRN 1
- Proceedings of the Forty-third International Conference on Machine Learning (ICML), Position Paper Track 1
- Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 1
- Proceedings of the Reinforcement Learning Conference (RLC) 1
- Simpósio Brasileiro de Banco de Dados (SBBD) 1
- The IEEE International Conference on Data Mining (ICDM) 1
- The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) 1
arXiv.org
Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks
arXiv.org
(2024)
Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada
arXiv.org
(2024)
Can Go AIs be adversarially robust?
arXiv.org
(2024)
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
arXiv.org
(2024)
Scavenging Hyena: Distilling Transformers into Long Convolution Models
arXiv.org
(2024)
Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation
arXiv.org
(2024)
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
arXiv.org
(2024)
Exploiting Novel GPT-4 APIs
arXiv.org
(2023)
Open, Closed, or Small Language Models for Text Classification?
arXiv.org
(2023)
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
arXiv.org
(2023)
ToxBuster: In-game Chat Toxicity Buster with BERT
arXiv.org
(2023)
Revisiting Hotels-50K and Hotel-ID
arXiv.org
(2022)
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
arXiv.org
(2020)
Group Equivariant Deep Reinforcement Learning
arXiv.org
(2020)
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
arXiv.org
(2020)
SGP: Spotting Groups Polluting the Online Political Discourse
arXiv.org
(2019)
Neural Architecture Search for Class-incremental Learning
arXiv.org
(2019)
Anomaly Detection with Joint Representation Learning of Content and Connection
arXiv.org
(2019)
Modular Networks for Validating Community Detection Algorithms
arXiv.org
(2018)
Conference on Empirical Methods in Natural Language Processing
SWEET : Weakly Supervised Person Name Extraction for Fighting Human Trafficking
Conference on Empirical Methods in Natural Language Processing
(2023)
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
Conference on Empirical Methods in Natural Language Processing
(2023)
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
Conference on Empirical Methods in Natural Language Processing
(2023)
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking
Conference on Empirical Methods in Natural Language Processing
(2023)
Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach
Conference on Empirical Methods in Natural Language Processing
(2023)
Structure Aware Negative Sampling in Knowledge Graphs
Conference on Empirical Methods in Natural Language Processing
(2020)
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2023)
Graph Attention Networks with Positional Embeddings
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2021)
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2021)
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe)
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2017)
Neural Information Processing Systems
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Neural Information Processing Systems
(2024)
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Neural Information Processing Systems
(2023)
Towards Better Evaluation for Dynamic Link Prediction
Neural Information Processing Systems
(2022)
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Neural Information Processing Systems
(2014)
Canadian AI
Graph learning with programmatic weak supervision
Canadian AI
(2023)
Better Bridges Between Model and Real World
Canadian AI
(2023)
When does Continuous Learning for BERT make sense?
Canadian AI
(2023)
Data mining and knowledge discovery
Generalization of clustering agreements and distances for overlapping clusters and network communities
Data mining and knowledge discovery
(2015)
Generalization of clustering agreements and distances for overlapping clusters and network communities
Data mining and knowledge discovery
(2014)
Asian Conference on Machine Learning
Scaling up Simhash
Asian Conference on Machine Learning
(2020)
A Faster Sampling Algorithm for Spherical k-means
Asian Conference on Machine Learning
(2018)
Knowledge Discovery and Data Mining
Laplacian Change Point Detection for Dynamic Graphs
Knowledge Discovery and Data Mining
(2020)
Active Search of Connections for Case Building and Combating Human Trafficking
Knowledge Discovery and Data Mining
(2018)
The Web Conference
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking
The Web Conference
(2022)
The Surprising Performance of Simple Baselines for Misinformation Detection
The Web Conference
(2021)
ACM Transactions on Knowledge Discovery from Data
DeltaShield: Information Theory for Human- Trafficking Detection
ACM Transactions on Knowledge Discovery from Data
(2023)
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
ACM Transactions on Knowledge Discovery from Data
(2023)
UNCERTAINLP
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
UNCERTAINLP
(2024)
Uncertainty Resolution in Misinformation Detection
UNCERTAINLP
(2024)
Web Search and Data Mining
Temporal Graph Analysis with TGX
Web Search and Data Mining
(2024)
DisKeyword: Tweet Corpora Exploration for Keyword Selection
Web Search and Data Mining
(2023)
AAAI Conference on Artificial Intelligence
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI Conference on Artificial Intelligence
(2024)
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters
AAAI Conference on Artificial Intelligence
(2017)
International Conference on Learning Representations
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
International Conference on Learning Representations
(2025)
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
International Conference on Learning Representations
(2023)
Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)
Grounding Computer Use Agents on Human Demonstrations
Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)
(2026)
TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs
Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)
(2026)
2010 IEEE International Conference on Data Mining Workshops
Meerkat: Community Mining with Dynamic Social Networks
2010 IEEE International Conference on Data Mining Workshops
(2010)
Educational Data Mining
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques
Educational Data Mining
(2011)
Symposium on Web Systems Evolution
Web service matching for RESTful web services
Symposium on Web Systems Evolution
(2011)
2011 IEEE 11th International Conference on Data Mining Workshops
A Diffusion of Innovation-Based Closeness Measure for Network Associations
2011 IEEE 11th International Conference on Data Mining Workshops
(2011)
SKDD
Social network analysis and mining to support the assessment of on-line student participation
SKDD
(2012)
International Conference on Advanced Data Mining and Applications
Community Dynamics: Event and Role Analysis in Social Network Analysis
International Conference on Advanced Data Mining and Applications
(2014)
PLoS ONE
Generating Attributed Networks with Communities
PLoS ONE
(2015)
PAKDD Workshops
Evaluation of Community Mining Algorithms in the Presence of Attributes
PAKDD Workshops
(2015)
ECML/PKDD
Social-Affiliation Networks: Patterns and the SOAR Model
ECML/PKDD
(2018)
2018 IEEE International Conference on Data Mining Workshops (ICDMW)
A Scalable Clustering Algorithm for Serendipity in Recommender Systems
2018 IEEE International Conference on Data Mining Workshops (ICDMW)
(2018)
Research & Politics
Politicians in the line of fire: Incivility and the treatment of women on social media
Research & Politics
(2019)
BMC Psychiatry
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
BMC Psychiatry
(2020)
Canadian Journal of Political Science/Revue canadienne de science politique
Explaining Support for COVID-19 Cell Phone Contact Tracing
Canadian Journal of Political Science/Revue canadienne de science politique
(2020)
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine
(2020)
Applied Network Science
Incorporating dynamic flight network in SEIR to model mobility between populations
Applied Network Science
(2020)
WNUT
Back to Top ↑LatinX in AI at Neural Information Processing Systems Conference 2020
Graph Neural Networks Learn Twitter Bot Behaviour
LatinX in AI at Neural Information Processing Systems Conference 2020
(2020)
Journal of Information Technology & Politics
Efficient detection of online communities and social bot activity during electoral campaigns
Journal of Information Technology & Politics
(2021)
IEEE International Conference on Data Engineering
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
IEEE International Conference on Data Engineering
(2021)
Canadian Conference on AI
Understanding Capacity Saturation in Incremental Learning
Canadian Conference on AI
(2021)
2021 International Conference on Data Mining Workshops (ICDMW)
Online Partisan Polarization of COVID-19
2021 International Conference on Data Mining Workshops (ICDMW)
(2021)
LatinX in AI at Neural Information Processing Systems Conference 2021
Curating the Twitter Election Integrity Datasets for Better Online Troll Characterization
LatinX in AI at Neural Information Processing Systems Conference 2021
(2021)
SDM
Back to Top ↑Findings
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking
Findings
(2022)
Journal of Pharmacy and Bioallied Sciences
PCR-based Evaluation of Human Papillomavirus Genotypes in Oral Lichen Planus
Journal of Pharmacy and Bioallied Sciences
(2022)
2022 IEEE International Conference on Data Mining Workshops (ICDMW)
Active Keyword Selection to Track Evolving Topics on Twitter
2022 IEEE International Conference on Data Mining Workshops (ICDMW)
(2022)
IEEE Transactions on Visualization and Computer Graphics
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking
IEEE Transactions on Visualization and Computer Graphics
(2022)
International Conference on Machine Learning
Adversarial Policies Beat Superhuman Go AIs
International Conference on Machine Learning
(2022)
Trans. Mach. Learn. Res.
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Trans. Mach. Learn. Res.
(2023)
Web Science Conference
Social Media as a Vector for Escort Ads:A Study on OnlyFans advertisements on Twitter
Web Science Conference
(2023)
2023 IEEE International Conference on Data Mining Workshops (ICDMW)
Exhaustive Evaluation of Dynamic Link Prediction
2023 IEEE International Conference on Data Mining Workshops (ICDMW)
(2023)
EURALI
An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter
EURALI
(2024)
PERSONALIZE
Quantifying learning-style adaptation in effectiveness of LLM teaching
PERSONALIZE
(2024)
Scientific Reports
Static graph approximations of dynamic contact networks for epidemic forecasting
Scientific Reports
(2024)
Games Res. Pract.
Game On, Hate Off: A Study of Toxicity in Online Multiplayer Environments
Games Res. Pract.
(2024)
Learning on Graph Conference
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
Learning on Graph Conference
(2024)
Conference on Language Modeling
Web Retrieval Agents for Evidence-Based Misinformation Detection
Conference on Language Modeling
(2024)
Proceedings (International Conference of the Learning Sciences)
A Systematic Literature Review of Large Language Model Applications in the Algebra Domain
Proceedings (International Conference of the Learning Sciences)
(2025)
Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track
A Guide to Misinformation Detection Data and Evaluation
Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track
(2025) · Best Datasets & Benchmarks Track Paper, Runner-Up
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES)
Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking Interventions
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES)
(2025)
Proceedings of the Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track
MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
Proceedings of the Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track
(2025)
Proceedings of The Web Conference (TheWebConf), Short Paper Track
Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics
Proceedings of The Web Conference (TheWebConf), Short Paper Track
(2026)
Proceedings of the Canadian Conference on Artificial Intelligence (Canadian AI)
ToxiSight: Leveraging Moderator Expertise Through Behavioral Measurement in Gaming Toxicity Annotation
Proceedings of the Canadian Conference on Artificial Intelligence (Canadian AI)
(2026)
SSRN
Back to Top ↑Proceedings of the Forty-third International Conference on Machine Learning (ICML), Position Paper Track
Position: Time to Close The Validation Gap in LLM Social Simulations
Proceedings of the Forty-third International Conference on Machine Learning (ICML), Position Paper Track
(2026)
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2
CrediBench: Web-Scale Network Data for Credibility Prediction
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2
(2026)
Proceedings of the Reinforcement Learning Conference (RLC)
DART: Dual Adaptive Residual Tracking for Low-Bias Advantage Estimation and Credit Assignment in AI Agents
Proceedings of the Reinforcement Learning Conference (RLC)
(2026)
Simpósio Brasileiro de Banco de Dados (SBBD)
SynTraffic: A synthetic dataset for spatiotemporal human trafficking detection in heterogeneous graphs
Simpósio Brasileiro de Banco de Dados (SBBD)
(2026)
The IEEE International Conference on Data Mining (ICDM)
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
The IEEE International Conference on Data Mining (ICDM)
(2026)
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Can LLMs Learn to Simulate Users from Behavioral History? An Empirical Study
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2026)
Social Network Analysis and Mining
SSRM: structural social role mining for dynamic social networks
Communities validity: methodical evaluation of community mining algorithms