必应聊天:搜索引擎的未来?

Q3 Social Sciences
Dominique Kelly, Yimin Chen, Sarah E. Cornwell, Nicole S. Delellis, Alex Mayhew, Sodiq Onaolapo, Victoria L. Rubin
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引用次数: 1

摘要

Bing Chat是微软于2023年2月推出的Bing搜索引擎的一项功能,它集成了为搜索定制的OpenAI大型语言模型(LLM) (Mehdi, 2023a)。这张海报比较了Bing Chat和一个标准的现有搜索引擎(DuckDuckGo)在响应相同的关键词查询和相应的自然语言(NL)问题时的输出。具体来说,我们检查了:(1)Bing Chat的回复和DuckDuckGo的搜索结果首页的长度,通过网站链接的数量;(2)必应聊天文本摘要的长度,按网站链接的数量计算。我们发现,与DuckDuckGo的搜索结果相比,Bing Chat的回复中链接的网站平均要少得多。我们的研究结果对网站运营商具有重要意义,如果法学硕士支持的搜索引擎在未来被广泛采用,他们可能会获得更少的流量和广告收入。人机交互(HCI)将不可避免地面临更多关于人类信息行为适应以响应不断变化的搜索范式的研究需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bing Chat: The Future of Search Engines?
ABSTRACT Introduced by Microsoft in February 2023, Bing Chat is a feature of the Bing search engine that integrates an OpenAI large language model (LLM) customised for search (Mehdi, 2023a). This poster compares the outputs of Bing Chat and a standard existing search engine (DuckDuckGo) in response to identical keyword queries and corresponding natural language (NL) questions. Specifically, we examined: (1) the length of Bing Chat's responses and DuckDuckGo's first page of search results, by number of website links; and, (2) the length of Bing Chat's textual summaries, by number of website links. We found that, on average, significantly fewer websites were linked to in Bing Chat's responses compared to DuckDuckGo's search results. Our findings have important implications for website operators, who may receive less traffic and ad revenue if LLM‐enabled search engines are widely adopted in the future. Human‐Computer Interaction (HCI) will inevitably face the need for more research on human information behaviours adaptations in response to the changing search paradigm.
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来源期刊
Proceedings of the Association for Information Science and Technology
Proceedings of the Association for Information Science and Technology Social Sciences-Library and Information Sciences
CiteScore
1.30
自引率
0.00%
发文量
164
期刊介绍: Information not localized
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