Dataset on the PhD thesis "Heritage Beyond Singular Narratives: Embracing Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence"

By comparing the different stakeholders’ perspectives, discovered using an AI approach from multiple unstructured data sources, this research develops an approach to reveal alignments and conflicts between academic experts, policymakers, and users to shed light on the conflicts and alignments embedded in the multi-stakeholder setting and as a step further towards inclusive data-supported heritage planning. To provide empirical evidence of such an approach, thisresearch explores various stakeholders’ perspectives on the cultural significance conveyed to a specific case study, the city of Yazd, Iran. The focus of research is on windcatchers which are key attributes conveying outstanding universal value, as inscribed on the UNESCO World Heritage List (UNESCO, 2017). This research discusses alignments and conflicts in the attributes and values, by comparing the perspectives of policy makers, users, and academic experts. Based on the analysis, a critical reflection on the changes expected in heritage planning is discussed. This study offers a comprehensive methodology with a customized AI-supported tool to detect alignments and conflicts in participation processes applied to heritage planning. Besides, this study reveals a critical gap that requires more reflection on the changes expected in heritage planning, by considering how different stakeholders may grow in their contribution to the definition of cultural significance in heritage planning, given the rising importance of public participation.These datasets contain the opinions of three main stakeholdr groups on the cultural significance of windcatchers in Yazd, Iran:experts (academic publications)users (social media: Instagram and Twitter/X)policy makers (local/national/international documents) <br>The analysis results have been published in journal papers, conference papers, and a book chapter. <br>There are three Excel files containing various sheets:general information: the publications' information namely, title, year of publication, authors, etc.sentences_values: titles, relevant sentences, and values addressed in the sentencessentences_attributes: titles, relevant sentences, and attributes addressed in the sentencesname entity recognition (NER): relevant sentences, relevant words, and the class of NER associated with the wordsentiment and emotion analysis: relevant sentences, sentiments, emotions<br>

本研究依托多源非结构化数据的AI分析方法，对比不同利益相关方的视角，开发出一套可揭示学术专家、政策制定者与普通用户之间共识与分歧的研究框架，以阐明多利益相关方场景下潜藏的共识与冲突，并为推进包容型数据支撑的遗产规划研究迈出关键一步。
为验证该方法的实证有效性，本研究以伊朗亚兹德市这一具体案例为对象，探索不同利益相关方对其所传递的文化意义的认知。本研究的核心对象为风塔——这一被列入《世界遗产名录》（联合国教科文组织，UNESCO，2017）的突出普遍价值核心载体。
本研究通过对比政策制定者、普通用户与学术专家的视角，探讨了相关属性与价值维度上的共识与分歧。基于分析结果，本研究对遗产规划中预期的变革展开批判性反思。
本研究提出一套集成定制化AI辅助工具的完整方法论，用于检测遗产规划参与流程中的共识与冲突。此外，鉴于公众参与的重要性日益提升，本研究揭示了一项关键研究缺口：亟需围绕不同利益相关方如何参与遗产规划中文化意义的界定过程、提升其参与贡献度这一议题，展开更多批判性反思。
本数据集包含三类核心利益相关方对伊朗亚兹德市风塔文化意义的相关意见：
1. 专家群体：学术出版物
2. 用户群体：社交媒体内容（Instagram与Twitter/X）
3. 政策制定者：地方、国家及国际层级的官方文件

本研究的分析成果已发表于期刊论文、会议论文及图书章节。
本次公开的数据集包含3个Excel文件，各包含多个工作表，具体如下：
- 基本信息（general information）：收录出版物的元数据，包括标题、发表年份、作者等信息
- 语句-价值（sentences_values）：收录相关标题、关联语句及语句中提及的价值维度
- 语句-属性（sentences_attributes）：收录相关标题、关联语句及语句中提及的属性维度
- 命名实体识别（name entity recognition, NER）：收录相关语句、实体词及对应实体类别的标注结果
- 情感与情绪分析（sentiment and emotion analysis）：收录相关语句、情感倾向及情绪类别