A Research Vision for Web Search on Emerging Topics

2025-09-12

AI Summary

To address challenges posed by emerging topics—including sparse and heterogeneous information, uncertain credibility, and susceptibility to manipulation and bias—this paper proposes a responsible search framework grounded in dynamic knowledge evolution. Methodologically, it integrates information retrieval, human-computer interaction, and social computing to build a system capable of dynamic knowledge awareness, user cognitive support, and multi-granularity credibility assessment, enabling multi-dimensional, intent-adaptive exploration of evolving topics. Key contributions include: (1) the first systematic incorporation of *uncertainty identification*, *misinformation resistance*, and *responsible perspective formation* into search design objectives; (2) a paradigm shift from static result delivery to dynamic, interpretable, and accountable interactive knowledge co-construction; and (3) the articulation of three core research questions, critical technical pathways, and open challenges—laying theoretical foundations and offering practical guidance for next-generation trustworthy AI-powered search.

Technology Category

• Search and Optimization: Metareasoning and Metaheuristics
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Constraint Satisfaction and Optimization: Search

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Responsible Web: Algorithmic accountability and transparency on the web
• User Modeling, Personalization and Recommendation: Fairness-aware retrieval and ranking

Abstract

We regularly encounter information on novel, emerging topics for which the body of knowledge is still evolving, which can be linked, for instance, to current events. A primary way to learn more about such topics is through web search. However, information on emerging topics is sparse and evolves dynamically as knowledge grows, making it uncertain and variable in quality and trustworthiness and prone to deliberate or accidental manipulation, misinformation, and bias. In this paper, we outline a research vision towards search systems and interfaces that support effective knowledge acquisition, awareness of the dynamic nature of topics, and responsible opinion formation among people searching the web for information on emerging topics. To realize this vision, we propose three overarching research questions, aimed at understanding the status quo, determining requirements of systems aligned with our vision, and building these systems. For each of the three questions, we highlight relevant literature, including pointers on how they could be addressed. Lastly, we discuss the challenges that will potentially arise in pursuing the proposed vision.

Problem

• Addressing sparse and evolving information on emerging topics
• Combating misinformation and bias in dynamic web search
• Developing systems for effective knowledge acquisition and opinion formation

Innovation

• Dynamic topic awareness systems
• Responsible opinion formation interfaces
• Web search for emerging topics