All Stories

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