All Stories

  1. Editorial: Special Issue on Human in the Loop Data Curation
  2. Who Determines What Is Relevant? Humans or AI? Why Not Both?
  3. On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments
  4. Data Bias Management
  5. Perspectives on Large Language Models for Relevance Judgment
  6. On the Impact of Data Quality on Image Classification Fairness
  7. How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments
  8. Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency
  9. The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?
  10. Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022
  11. A Data-Driven Analysis of Behaviors in Data Curation Processes
  12. Combining Human and Machine Confidence in Truthfulness Assessment
  13. Using Computers to Fact-Check Text and Justify the Decision
  14. Socio-Economic Diversity in Human Annotations
  15. Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments
  16. Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?
  17. Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing
  18. Hierarchical Clustering of Corals using Image Clustering
  19. An Analysis of the Australian Political Discourse in Sponsored Social Media Content
  20. On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices
  21. Charting the Design and Analytics Agenda of Learnersourcing Systems
  22. Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020
  23. Modelling User Behavior Dynamics with Embeddings
  24. The COVID-19 Infodemic
  25. How to make crowd workers earn an hourly wage
  26. On Understanding Data Worker Interaction Behaviors
  27. Can The Crowd Identify Misinformation Objectively?
  28. Representation learning for entity type ranking
  29. Health Card Retrieval for Consumer Health Search
  30. On Transforming Relevance Scales
  31. Understanding Worker Moods and Reactions to Rejection in Crowdsourcing
  32. Quality Control Attack Schemes in Crowdsourcing
  33. Health Cards for Consumer Health Search
  34. Implicit Bias in Crowdsourced Knowledge Graphs
  35. Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data
  36. Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems
  37. All Those Wasted Hours
  38. Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
  39. Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs—The Case of Wikidata
  40. Semantic Interlinking
  41. The Impact of Task Abandonment in Crowdsourcing
  42. The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of Edits
  43. Can User Behaviour Sequences Reflect Perceived Novelty?
  44. Moral Panic through the Lens of Twitter
  45. Investigating User Perception of Gender Bias in Image Search
  46. On Fine-Grained Relevance Scales
  47. On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research
  48. Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection
  49. Measuring the Effect of Public Health Campaigns on Twitter: The Case of World Autism Awareness Day
  50. Chapter 4: Using Twitter as a Data Source: An Overview of Ethical, Legal, and Methodological Challenges
  51. Understanding Engagement through Search Behaviour
  52. Considering Assessor Agreement in IR Evaluation
  53. Modus Operandi of Crowd Workers
  54. An Introduction to Hybrid Human-Machine Information Systems
  55. Towards building a standard dataset for Arabic keyphrase extraction evaluation
  56. Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems
  57. Contextualized ranking of entity types based on knowledge graphs
  58. A Tutorial on Leveraging Knowledge Graphs for Web Search
  59. The Relationship Between User Perception and User Behaviour in Interactive Information Retrieval Evaluation
  60. Hybrid human–machine information systems: Challenges and opportunities
  61. Pooling-based continuous evaluation of information retrieval systems
  62. Human Beyond the Machine: Challenges and Opportunities of Microtask Crowdsourcing
  63. The Dynamics of Micro-Task Crowdsourcing
  64. Understanding Malicious Behavior in Crowdsourcing Platforms
  65. B-hist: Entity-centric search over personal web browsing history
  66. Hippocampus
  67. Correct Me If I'm Wrong
  68. Effective named entity recognition for idiosyncratic web collections
  69. Entity disambiguation in tweets leveraging user social profiles
  70. Large-scale linked data integration using probabilistic reasoning and crowdsourcing
  71. NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data
  72. Ontology-Based Word Sense Disambiguation for Scientific Literature
  73. TRank: Ranking Entity Types Using the Web of Data
  74. The Bowlogna ontology: Fostering open curricula and agile knowledge bases for Europe's higher education landscape
  75. ZenCrowd
  76. BowlognaBench—Benchmarking RDF Analytics
  77. Combining inverted indices and structured search for ad-hoc object retrieval
  78. Predicting the Future Impact of News Events
  79. From people to entities
  80. Visual interfaces for stimulating exploratory search
  81. Report on INEX 2009
  82. Why finding entities in Wikipedia is difficult, sometimes
  83. Leveraging personal metadata for Desktop search: The Beagle++ system
  84. Dear search engine: what's your opinion about...?
  85. Entity summarization of news articles
  86. Exploiting click-through data for entity retrieval
  87. Overview of the INEX 2009 Entity Ranking Track
  88. Ranking Entities Using Web Search Query Logs
  89. TAER
  90. The missing links
  91. An Architecture for Finding Entities on the Web
  92. Report on INEX 2008
  93. A Vector Space Model for Ranking Entities and Its Application to Expert Search
  94. How to Trace and Revise Identities
  95. L3S at INEX 2008: Retrieving Entities Using Structured Information
  96. Overview of the INEX 2008 Entity Ranking Track
  97. A Model for Ranking Entities and Its Application to Wikipedia
  98. Social recommendations of content and metadata
  99. Leveraging semantic technologies for enterprise search
  100. A Classification of IR Effectiveness Metrics
  101. L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology
  102. Ranking Categories for Web Search
  103. Semantically Enhanced Entity Ranking