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. Crowdsourcing ground truth for Question Answering using CrowdTruth
  16. The Three Sides of CrowdTruth