All Stories

  1. Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
  2. Human-Centered Responsible Artificial Intelligence: Current & Future Trends
  3. “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
  4. Empirical methodology for crowdsourcing ground truth
  5. Eliciting User Preferences for Personalized Explanations for Video Summaries
  6. Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions
  7. Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data
  8. Modeling cultural heritage data for online publication
  9. Studying Topical Relevance with Evidence-based Crowdsourcing
  10. Crowdsourcing Ground Truth for Medical Relation Extraction
  11. What's new in the field of Semantic Web and Human Computation?
  12. Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs' Welcome & Organization
  13. The Quantum Collective
  14. Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams
  15. Towards web documents quality assessment for digital humanities scholars
  16. Crowdsourcing ground truth for Question Answering using CrowdTruth
  17. The Three Sides of CrowdTruth