Knowledge Resource
Research Summary: Investigating the Impacts of Generative AI on Information Seeking
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 15 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
Recent research investigates how generative AI influences information seeking by leveraging natural language cues to project expertise and intelligence, thereby impacting user perceptions of trustworthiness. This analysis highlights the procedural rhetoric employed by AI chatbots and calls for a cross-disciplinary approach to understand and mitigate the risks associated with integrating generative AI into human communication practices.
Why it matters
The pervasive integration of generative AI into information seeking processes fundamentally alters how individuals access and evaluate information, presenting significant implications for decision-making and knowledge acquisition. Understanding and mitigating the risks associated with AI-driven influence on trustworthiness is crucial for maintaining informed communication and ensuring the integrity of information ecosystems.
Key insights
- Generative AI chatbots utilize procedural rhetoric to influence user perception of their trustworthiness.
- Natural language signifiers are employed by AI to project expertise and intelligence.
- The integration of generative AI into human communication introduces new problematics and risks.
- There is a recognized need for a cross-disciplinary vocabulary to describe, analyze, and mitigate these emerging risks.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2609.14638
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- Verification ID
- ASA-EXE-2026-00536
- Version
- v1.0 · r0
- Issued
- 15 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Investigating the Impacts of Generative AI on Information Seeking
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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