All Stories

  1. Hate Speech Detection with Generalizable Target-aware Fairness
  2. Understanding the Barriers to Running Longitudinal Studies on Crowdsourcing Platforms
  3. Fairness without Sensitive Attributes via Knowledge Sharing
  4. How Good are LLMs in Generating Personalized Advertisements?
  5. Editorial: Special Issue on Human in the Loop Data Curation
  6. Who Determines What Is Relevant? Humans or AI? Why Not Both?
  7. On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments
  8. Data Bias Management
  9. Perspectives on Large Language Models for Relevance Judgment
  10. On the Impact of Data Quality on Image Classification Fairness
  11. How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments
  12. Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency
  13. The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?
  14. Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022
  15. A Data-Driven Analysis of Behaviors in Data Curation Processes
  16. Combining Human and Machine Confidence in Truthfulness Assessment
  17. Using Computers to Fact-Check Text and Justify the Decision
  18. Socio-Economic Diversity in Human Annotations
  19. Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments
  20. Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?
  21. Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing
  22. Hierarchical Clustering of Corals using Image Clustering
  23. An Analysis of the Australian Political Discourse in Sponsored Social Media Content
  24. On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices
  25. Charting the Design and Analytics Agenda of Learnersourcing Systems
  26. Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020
  27. Modelling User Behavior Dynamics with Embeddings
  28. The COVID-19 Infodemic
  29. How to make crowd workers earn an hourly wage
  30. On Understanding Data Worker Interaction Behaviors
  31. Can The Crowd Identify Misinformation Objectively?
  32. Representation learning for entity type ranking
  33. Health Card Retrieval for Consumer Health Search
  34. On Transforming Relevance Scales
  35. Understanding Worker Moods and Reactions to Rejection in Crowdsourcing
  36. Quality Control Attack Schemes in Crowdsourcing
  37. Health Cards for Consumer Health Search
  38. Implicit Bias in Crowdsourced Knowledge Graphs
  39. Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data
  40. Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems
  41. All Those Wasted Hours
  42. Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
  43. Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs—The Case of Wikidata
  44. Semantic Interlinking
  45. The Impact of Task Abandonment in Crowdsourcing
  46. The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of Edits
  47. Can User Behaviour Sequences Reflect Perceived Novelty?
  48. Moral Panic through the Lens of Twitter
  49. Investigating User Perception of Gender Bias in Image Search
  50. On Fine-Grained Relevance Scales
  51. On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research
  52. Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection
  53. Measuring the Effect of Public Health Campaigns on Twitter: The Case of World Autism Awareness Day
  54. Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs' Welcome & Organization
  55. Chapter 4: Using Twitter as a Data Source: An Overview of Ethical, Legal, and Methodological Challenges
  56. Understanding Engagement through Search Behaviour
  57. Considering Assessor Agreement in IR Evaluation
  58. Modus Operandi of Crowd Workers
  59. An Introduction to Hybrid Human-Machine Information Systems
  60. Towards building a standard dataset for Arabic keyphrase extraction evaluation
  61. Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems
  62. Contextualized ranking of entity types based on knowledge graphs
  63. A Tutorial on Leveraging Knowledge Graphs for Web Search
  64. The Relationship Between User Perception and User Behaviour in Interactive Information Retrieval Evaluation
  65. Hybrid human–machine information systems: Challenges and opportunities
  66. Pooling-based continuous evaluation of information retrieval systems
  67. Human Beyond the Machine: Challenges and Opportunities of Microtask Crowdsourcing
  68. The Dynamics of Micro-Task Crowdsourcing
  69. Understanding Malicious Behavior in Crowdsourcing Platforms
  70. Correct Me If I'm Wrong
  71. B-hist: Entity-centric search over personal web browsing history
  72. Hippocampus
  73. Effective named entity recognition for idiosyncratic web collections
  74. Entity disambiguation in tweets leveraging user social profiles
  75. Large-scale linked data integration using probabilistic reasoning and crowdsourcing
  76. NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data
  77. Ontology-Based Word Sense Disambiguation for Scientific Literature
  78. TRank: Ranking Entity Types Using the Web of Data
  79. The Bowlogna ontology: Fostering open curricula and agile knowledge bases for Europe's higher education landscape
  80. ZenCrowd
  81. BowlognaBench—Benchmarking RDF Analytics
  82. Combining inverted indices and structured search for ad-hoc object retrieval
  83. Predicting the Future Impact of News Events
  84. From people to entities
  85. Visual interfaces for stimulating exploratory search
  86. Report on INEX 2009
  87. Why finding entities in Wikipedia is difficult, sometimes
  88. Leveraging personal metadata for Desktop search: The Beagle++ system
  89. Dear search engine: what's your opinion about...?
  90. Entity summarization of news articles
  91. Exploiting click-through data for entity retrieval
  92. Overview of the INEX 2009 Entity Ranking Track
  93. Ranking Entities Using Web Search Query Logs
  94. TAER
  95. The missing links
  96. An Architecture for Finding Entities on the Web
  97. Report on INEX 2008
  98. A Vector Space Model for Ranking Entities and Its Application to Expert Search
  99. How to Trace and Revise Identities
  100. L3S at INEX 2008: Retrieving Entities Using Structured Information
  101. Overview of the INEX 2008 Entity Ranking Track
  102. A Model for Ranking Entities and Its Application to Wikipedia
  103. Social recommendations of content and metadata
  104. Leveraging semantic technologies for enterprise search
  105. A Classification of IR Effectiveness Metrics
  106. L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology
  107. Ranking Categories for Web Search
  108. Semantically Enhanced Entity Ranking