A further investigation into how Chinese national(ist) discourses are daily (re)shaped online by diverse socio-political actors (especially ordinary users) can contribute to not only deeper understandings of Chinese national sentiments on China’s Internet but also richer insights into the socio-technical ecology of the contemporary Chinese digital (and physical) world. I adopt an ethnographic methodology, with Sina Weibo and bilibili as ‘fieldsites’. The primary data collection method is virtual ethnographic observation on everyday national(ist) discussions on both platforms. Objects for observations on the two ‘fieldsites’ are dissimilar because of their differential socio-technical affordances. For Sina Weibo, observations centre upon targeted discussions on topics/objects that may evoke national(ist) sensibilities, whilst for bilibili, emphasis is located on ‘barrage’ comments and postings in the comments section attached to specific videos and other textual content which may elicit national(ist) feelings. On each ‘fieldsite’, I observe how different socio-political actors contribute to the discursive (re)generation of Chinese national identity on a day-to-day basis with attention to forms and content of national(ist) accounts that they publicise on each ‘fieldsite’, contextual factors of their posting and reposting of and commenting on national(ist) narratives and their interactions with other users about certain national(ist) discourses on each platform. Critical discourse analysis is employed to analyse data. From November 2021 to December 2022, I conducted 36 weeks’ observations with 36 sets of fieldnotes. The strategy adopted for the initial stage of observations was keyword searching, which means typing into the search box on Sina Weibo and bilibili any keywords related to China as a nation and then observing the search results. For 36 weeks’ observations, I concentrated much upon textual content created by ordinary users. Based on fieldnotes of the first week’s observations, I found multifarious national(ist) discourses on Sina Weibo and bilibili, targeted both at national ‘Others’ and ‘Us’, both on the historical and real-world dimension, both aligning with and differing from or even conflicting with official discourses, both direct national(ist) expressions and articulations of sentiments in the name of presentation of national(ist) attachments but for other purposes. Second, Sina Weibo and bilibili users have agency in interpreting and deploying concrete national(ist) discourses despite the leading role played by the government and the two platforms in deciding on the basic framework of national expressions. Besides, there are also disputes and even quarrels between users in terms of explanations for concrete components of ‘nation-ness’ and (in)direct dissent to officially defined ‘mainstream’ discourses to some extent, though often expressed much more mundanely, discursively and playfully. Third, the (re)production process of national(ist) discourses on Sina Weibo and bilibili depends upon not only technical affordances and limitations of the two sites but also, to a larger degree, some established socio-political mechanisms and conventions in the offline China, e.g., the authorities' acquiescence of citizens’ freedom in understanding and explaining concrete elements of national discourses while setting the basic framework of national narratives to the extent that citizens’ own national(ist) expressions do not reach political bottom lines and develop into mobilising power to shake social stability.

A music performance space constitutes the frame as well as the content of the listeners’ experience. The acoustic environment forces continuous negotiations that differ according to a listener’s role and position as composer, performer or audience member. The aim of my research is to investigate the acoustics of a performative space, the Teatro del Maggio Musicale Fiorentino in Florence, following two complementary paths, both based on an interactive model. The first offers an impulse-response experience: the user can virtually explore the opera hall by choosing between the binaural reproductions of 13 different listening positions. The second is about the aural and visual perception of a performance of the romance “Una furtiva lagrima” from Donizetti’s opera L’elisir d’amore. The user, through ambisonics, 360 degree videos and virtual reality, will experience this performance from three different positions in the theatre: on stage, in the orchestra pit and in the audience seating.

LEAF-Writer is an open-source, open-access Extensible Markup Language (XML) editor that runs in a web browser and offers scholars and students a rich textual editing experience without the need to download, install, and configure proprietary software, pay ongoing subscription fees, or learn complex coding languages. This demonstration will highlight the range of functionality and affordances of LEAF-Writer and showcase new functionality including named entity recognition through NERVE (the LINCS Project’s Named Entity Recognition Vetting Environment, now based on the LINCS infrastructure) and a read-only viewing mode.

This session will demonstrate (with an accompanying poster for context) Event Builder and Event Viewer, tools built at the University of Saskatchewan to model events as represented in historical documents related to early modern collections and collectors of curiosities. The Builder (and the viewer that provides various ways to view and options for exporting these events) pulls data from TEI compliant XML documents and from a reference database that provides data on the people, places, and objects referenced in these documents. The events are CIDOC compliant and can be viewed in plan language descriptions and also as network graphs within Event Viewer, with options for sorting, searching, and indexing by people, places, and object descriptions; and the data can be exported as csv, XML, or RDF files. The RDF files will ultimately be deposited in the LINCS (Linked Infrastructure for Networked Cultural Scholarship) triplestore. The accompanying poster will elaborate the process of establishing the ontology that would inform the idea of event in the context of the research project these tools were designed to support—a project to visualize the social networks of early modern collectors of curiosities and their interactions with these objects. The demonstration will show the process of building events and the options for viewing and exporting the data, as well as some sample visualization based on the whole dataset of early modern collectors and collections of curiosities created using the Builder.

This demonstration showcases tools from the Linked Infrastructure for Networked Cultural Scholarship (LINCS). It enables LOD creation and conversion, hosts LOD in the LINCS triple store, and offers access through APIs, a SPARQL endpoint, and several GUIs. This demonstration highlights three LINCS tools. However, a poster of the LINCS Tube Map will invite CSDH participants to inquire about additional ones.

The LINCS Context Plugin

This plugin for the Chrome web browser allows LOD to travel beyond any particular platform to enrich web content. It scans web pages for entities and, if a user confirms a match with an entity about which LINCS has data, it provides access to that data within the web page itself, allowing for contextualization of content by trusted scholarly data.

VERSD: Vetting for Entity and Relationships in Structured Data

Reconciliation--augmenting data with external Uniform Resource Identifiers (URIs) to link to other data sources--is a crucial step in converting data into LOD, and one of the most onerous. VERSD, an open-source web application for reconciling bibliographic records with authorities such as VIAF, Wikidata or Getty, uses probabilistic record linkage to match multiple entity types simultaneously, parallelized processing for speed, and provides an efficient vetting interface.

ResearchSpace

ResearchSpace, created by the British Museum, is the front end to the LINCS triplestore. LINCS has extended ResearchSpace to house multiple linked datasets from a variety of research projects. Users can explore LINCS data through timelines, charts, and interactive network graphs, and edit the relationships between entities to create new connections.