WSDM 2023 : Web Search and Data Mining

WSDM proceedings are published in the ACM Digital Library. We invite papers in the areas below, with example topics listed for each area.

Web Search
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Algorithms for web-scale search; Adversarial search; Search user interfaces and interaction; Distributed search, metasearch, peer-to-peer search; Local and mobile search; Multimedia web search, crosslingual search; Query analysis and query processing; Search benchmarking and evaluation; Search user behavior and log analysis; Search with Foundation Models

Web Mining and Content Analysis
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Crawling and indexing web content; Web recommender systems and algorithms; Clustering, classification, and summarization of web data; Data, entity, event, and relationship extraction; Knowledge acquisition and automatic construction of knowledge bases; Large-scale graph analysis; Semantic search, faceted search, and knowledge graphs; Multimodal data mining; Scalable algorithms for mining web data; Opinion mining and sentiment analysis; Web traffic and log analysis; Web measurements, web evolution, and web models.

Web of Things, Ubiquitous and Mobile Computing
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Geo-location data analysis; Mobility and behavior data mining; Location-based social networks; User activity modeling and exploitation.

Privacy, Fairness, Interpretability
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Fairness and accountability in ranking, recommendations and advertising; Explainability in web systems; Model and algorithm transparency; Interpretable models of individual and social behavior; Web search and data mining under privacy constraints.

Social Networks
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Link prediction and community detection; Social network analysis and graph algorithms; Computational social science; Influence and viral marketing in social networks; Social sensing; Searching social and real-time content; Social network dynamics; Sampling, experiments, and evaluation in social networks; Social media analysis: blogs and friendship networks; Social network analysis, theories, models and applications; Social reputation and trust.

Intelligent Assistants
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Voice search, conversational search, and dialog systems; Personal assistants, dialogue models, and conversational interaction; Task-driven search; Zero-query and implicit search.

Crowdsourcing and Human Computation
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Collaborative search and question answering; Human-in-the-Loop and Collaborative Human-AI systems.

Emerging Applications
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Monitoring and prevention of epidemics; Mental health and well-being support systems; Systems and algorithms for urban applications; Online education systems; Web Mining for Social Good.

Information Integrity
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Systems and algorithms for monitoring and detection of misinformation and fake news; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Detecting and combating spamming, trolling, aggression, and toxic online behaviors; Methods for detecting and mitigating low quality and offensive content, bullying and hate speech; Polarization, Extremism and Radicalization; Echo chambers and Filter bubbles.