All Stories

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