Mediation of Artificial Intelligence in Digitizing Bibliographies of Secondary Sources in Historical Research

Secondary sources are relevant sources of historical research. These are journal articles, books, newspapers and encyclopedias. Secondary sources published at regular intervals are documented in the form of bibliographies for easy consultation by historians. However, accessing these sources has always been cumbersome as they are in hardcopy format and kept in the shelves of libraries that only few researchers or historians can access them. More time is spent in the acquisition of list of literature needed to conduct research being the predicament that confronted scholars for decades. The essence of this paper is to discuss the meditative role of artificial intelligence in digitizing bibliographies of secondary sources of historical research. The method adopted for this study is historical methodology and the use of secondary sources such as books, journal articles and internet sources for data collection. The findings shows that Artificial Intelligence, with its powerful data processing capabilities, can aid digitization of bibliographies of secondary sources through automatic extraction of cited information from the web of research papers and articles, formatted into a standardized citation style and included into a digital bibliography database. It concludes that online bibliographies related to history can now be accessed easily unlike before, while historians focus on interpretation and analysis rather than tedious data collection. The study recommends the need for historians to build a digital culture needed in the utilization of AI for historical research二次文献（secondary sources）是历史研究的重要相关资料来源，涵盖期刊论文、专著、报纸与百科全书。定期出版的二次文献会以书目（bibliographies）形式完成著录，以供历史学者便捷查阅。然而，此类资料多以纸质形态存储于图书馆书架，仅少数研究者或历史学者可接触获取，长期以来获取这类资料始终存在诸多不便。数十年来，学者们始终面临的核心困境是，需耗费大量时间梳理开展研究所需的文献清单。本研究旨在探讨人工智能（artificial intelligence）在数字化历史研究二次文献书目中的辅助作用。本次研究采用历史研究法作为研究范式，并通过书籍、期刊论文及网络资源等二次文献开展数据采集工作。研究结果显示，人工智能凭借其强大的数据处理能力，可自动从各类研究论文与文章的在线资源中提取被引信息，将其格式化为标准化引用格式后收录至数字化书目数据库，从而有效助力二次文献书目的数字化工作。研究结论指出，如今史学相关的在线书目已可便捷获取，历史学者无需再从事繁琐的数据采集工作，可将精力集中于史料解读与分析环节。本研究建议，历史学者应构建起利用人工智能开展历史研究所需的数字文化素养。