User models for recommender systems (RecSys) typically assume stable preferences, similarity-based relevance, and session-bounded interactions -- assumptions derived from high-volume consumer contexts. This paper investigates these assumptions for humanities scholars working with digital archives. Following a human-centered design approach, we conducted focus groups and analyzed interview data from 18 researchers. Our analysis identifies four dimensions where scholarly information-seeking diverges from common RecSys user modeling: (1) context volatility -- preferences shift with research tasks and domain expertise; (2) epistemic trust -- relevance depends on verifiable provenance; (3) contrastive seeking -- researchers seek items that challenge their current direction; and (4) strand continuity -- research spans long-term threads rather than discrete sessions. We discuss implications for user modeling and outline how these dimensions relate to collaborative filtering, content-based, and session-based recommendation. We propose these dimensions as a diagnostic framework applicable beyond archives to similar application domains where typical user modeling assumptions may not hold.
Automatic text analysis methods, such as Topic Modelling, are gaining much attention in Humanities. However, scholars need to have extensive coding skills to use such methods appropriately. The need of having this technical expertise prevents the broad adoption of these methods in Humanities research. In this paper, to help scholars in the Humanities to use Topic Modelling having no or limited coding skills, we introduce MITAO, a web-based tool that allow the definition of a visual workflow which embeds various automatic text analysis operations and allows one to store and share both the workf…
The publication activity and migration trends of Ukrainian scientists in the social sciences and humanities during the first two years of the Russo-Ukrainian war
Fashion styles adopted every day are an important aspect of culture, and style trend analysis helps provide a deeper understanding of our societies and cultures. To analyze everyday fashion trends from the humanities perspective, we need a digital archive that includes images of what people wore in their daily lives over an extended period. In fashion research, building digital fashion image archives has attracted significant attention. However, the existing archives are not suitable for retrieving everyday fashion trends. In addition, to interpret how the trends emerge, we need non-fashion da…
As part of its scholarly data efforts, the Internet Archive (IA) releases a first version of a citation graph dataset, named refcat, derived from scholarly publications and additional data sources. It is composed of data gathered by the fatcat cataloging project (the catalog that underpins IA Scholar), related web-scale crawls targeting primary and secondary scholarly outputs, as well as metadata from the Open Library project and Wikipedia. This first version of the graph consists of over 1.3B citations. We release this dataset under a CC0 Public Domain Dedication, accessible through Internet …
LODE: Linking Digital Humanities Content to the Web of Data
许多数字人文项目以文本、图像和元数据的形式维护其数据汇集。虽然数据可以以多种格式存储，从纯文本到XML再到关系数据库，但在过去五年中，使用资源描述框架（RDF）作为标准化表示形式已经获得了相当大的吸引力。几乎每一个数字人文会议都至少有一个会议涉及数字人文、RDF和关联数据的主题。虽然大多数现有的关联数据工作都集中在改进实体匹配的算法上，但LinkedHumanities项目的目标是构建“开箱即用”的数字人文工具，使人文学者，计算机科学家，图书馆员和信息科学家能够使用它们。在本文中，我们报告了作为LinkedHumanities项目的一部分开发的链接开放数据增强器（LODE）框架。通过LODE，我们支持非技术用户使用来自Linked Open Data云的高质量数据丰富本地RDF存储库。LODE链接并增强了本地RDF存储库，而不会影响数据的质量。特别是，LODE通过提供直观的用户界面和使用定制的匹配算法建议高质量的链接候选人，在增强和链接过程中支持用户。我们希望LODE框架将有助于数字人文学者补充其他数字人文工具。
CR/10 is a digital oral history platform that aims to collect and preserve the cultural memories of China's Cultural Revolution (1966-1976). This paper discusses how CR/10 functions as a Warburgian memory atlas and shapes multifaceted narratives of the historical incident. Through ethnographic research and semi-structured interviews with users within and outside academia, I examined the usability of CR/10 among various user groups and proposed design opportunities to further empower the interface. This paper offered a strong case on the datafication of cultural memories among cultural heritage…
New sources of citation data have recently become available, such as Microsoft Academic, Dimensions, and the OpenCitations Index of CrossRef open DOI-to-DOI citations (COCI). Although these have been compared to the Web of Science (WoS), Scopus, or Google Scholar, there is no systematic evidence of their differences across subject categories. In response, this paper investigates 3,073,351 citations found by these six data sources to 2,515 English-language highly-cited documents published in 2006 from 252 subject categories, expanding and updating the largest previous study. Google Scholar foun…
In this paper we present a novel methodology for identifying scholars with a Twitter account. By combining bibliometric data from Web of Science and Twitter users identified by Altmetric.com we have obtained the largest set of individual scholars matched with Twitter users made so far. Our methodology consists of a combination of matching algorithms, considering different linguistic elements of both author names and Twitter names; followed by a rule-based scoring system that weights the common occurrence of several elements related with the names, individual elements and activities of both Twi…
This ongoing study revisits the connotations of "digital humanists" and explores the reasons why a researcher does or does not self-identify as a digital humanist. Building on semi-structured interview data collected from fourteen researchers and practitioners engaging in digital humanities (DH) projects, this poster illustrates researchers' various understandings of "digital humanist" as a term and research identity and highlights the complexity of "digital humanists" as a research community. This study contributes to DH scholarship with insights into the collective imaginations of the digita…
Descriptive and empirical sciences, such as History, are the sciences that collect, observe and describe phenomena in order to explain them and draw interpretative conclusions about influences, driving forces and impacts under given circumstances. Spreadsheet software and relational database management systems are still the dominant tools for quantitative analysis and overall data management in these these sciences, allowing researchers to directly analyse the gathered data and perform scholarly interpretation. However, this current practice has a set of limitations, including the high depende…
Popular web pages are archived frequently, which makes it difficult to visualize the progression of the site through the years at web archives. The What Did It Look Like (WDILL) Twitter bot shows web page transitions by creating a timelapse of a given website using one archived copy from each calendar year. Originally implemented in 2015, we recently added new features to WDILL, such as date range requests, diversified memento selection, updated visualizations, and sharing visualizations to Instagram. This would allow scholars and the general public to explore the temporal nature of web archiv…
Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures - robust networks of people, artifacts, and institutions - but little is known about how they mediate information exchange between stakeholders. We open the "black box" of data archives by studying DANS, the Data Archiving and Networked Services institute of The Netherlands, which manages 50+ years of data from the social sciences, humanities, and other domains. Our interviews, weblogs, ethnography, and document analyses reveal that a few large contributors provide …
Towards immersive generosity: The need for a novel framework to explore large audiovisual archives through embodied experiences in immersive environments
