EXTENSION: New deadline October 30th Baltic Screen Media Review announces a Call for Papers titled “Knowledge Graphs and Contemporary Media: Power, Practice, Publics” Over the past decade, media have quietly become graph-shaped. Newsrooms, streaming platforms, archives, and social networks now depend on webs of entities - people, places, works, events - and the typed relations that connect them. Under labels such as linked data, the semantic web, and knowledge graphs, these infrastructures coordinate how content is produced, described, discovered, licensed, preserved, and increasingly generated by AI. They sit beneath the interfaces we see, but they structure what becomes visible, recommendable, and valuable. Understanding contemporary media, therefore, requires understanding the graphs that organise them. The rise of knowledge graphs in media is not an accident of technical fashion; it is the logical outcome of long trajectories in cataloguing, digitisation, and platformisation. Libraries and broadcasters moved from card catalogues to MARC and Dublin Core; heritage institutions spent two decades aligning authority files and opening collections; web companies standardised schema-based markup at scale; collaborative knowledge bases such as Wikidata turned entity curation into a public good; and audiovisual industries confronted the complexity of rights, versions, localisations, and windowing across global markets. In parallel, machine learning made structured, linked metadata indispensable: entity linking, recommendation, search, summarisation, and content moderation all perform better when grounded in persistent identifiers and interoperable ontologies. To all this was added the trust and provenance crises of the synthetic media era, which has led to a renewed emphasis on verifiable origin trails, signatures, and content credentials that are most useful when they are linked. The economics of attention, the politics of authenticity, and the pragmatics of large-scale automation all seem to converge on the need for shared, machine-readable meaning. These developments demand analysis from multiple angles. From the political economy of media, knowledge graphs can be read as new “coordination layers” that concentrate bargaining power and lock in ecosystems - or, alternatively, as public infrastructures that lower search and verification costs, widen market access, and enable plural discovery. Media industry studies can show how graphs reshape workflows: from pre-production knowledge bases and clearance graphs, to versioning and localisation, to explainable recommendation pipelines in the platform back-end. Media economics can evaluate the intangible asset value of metadata itself, model network effects that arise when catalogues interlink across firms and borders, and assess when openness produces positive externalities and when enclosure yields short-term rents but long-term fragility. For media semiotics, graphs offer a new instrument to study meaning circulation: intertextuality, world-building, genre drift, and translation across modalities can be traced as patterns of links among works, motifs, and characters. Audience and reception studies can examine how knowledge graph-grounded explanations and provenance labels affect trust and satisfaction, when serendipity expands or narrows horizons, and how fan communities co-produce knowledge that later feeds institutional graphs. Media archaeology could bring historical depth, showing how past documentation practices prefigure today’s ontologies and how reconciliation of “lost” entities can revive suppressed or minoritised histories. Science and Technology Studies could open the black box of standards and maintenance: ontologies are negotiated, versioned, and policed by communities; their categories include and exclude, often reproducing the centre–periphery dynamics of media culture. For media law and ethics, licensing and rights graphs raise questions about privacy and cross-jurisdictional compliance. Provenance frameworks aim to restore trust, yet their governance determines who can certify whom, under what terms, and at what cost. Finally, a public value perspective to media infrastructures asks how these infrastructures can be designed as durable, fair, and pluralistic, especially for small languages and small markets where linked openness may be the difference between invisibility and participation. This thematic issue takes linked data not as a niche technique but as a constitutive feature of contemporary media. We invite contributions from all the perspectives discussed above to open up the phenomenon and to illuminate the diverse implications that linked data has brought to contemporary media. Submissions may address, but are not limited to, the following topics: The role of linked data in organizing contemporary media ecosystems. Governance models for media knowledge infrastructures and their societal impacts. How linked data adoption reshapes news and platform discovery. How interoperability standards shape collaboration across media institutions. Cross-ID interoperability among broadcasters, archives, and streamers. Economic consequences of open vs. proprietary media metadata. Linked data, cultural diversity, and the visibility of small languages and regions. Audience trust and transparency in graph-enabled discovery and curation. Legal and ethical frameworks for graph-based media production and reuse. From catalogues to knowledge graphs: historical trajectories and lessons. Research methods for studying media with graph-based datasets. Public value and policy approaches to sustaining linked media data. Fan wikis as co-curators: aligning community and institutional graphs. Graph-aware recommenders and explainability in public service media. Mapping intertextuality and transmedia worlds via entity-relation graphs. Ontology politics: who defines genres, roles, and identities. Privacy-preserving linkage of audience data with content graphs under GDPR. Media archaeology of metadata: reconciling legacy catalogues into RDF. Event knowledge graphs for breaking-news verification. Authority alignment between knowledge graphs and cross-border memory. Knowledge graphs as coordinators in media innovation systems. Ethical risks of automated ontologies: bias, erasure, contested identities. The use of graphs for AI training. Media data spaces (e.g., European initiatives): architectures, incentives, and competition effects. Submission Guidelines We invite scholars, practitioners, and interdisciplinary researchers to contribute original research articles, theoretical essays and industry case studies. Submissions should not exceed 8000 words and must adhere to the journal’s formatting guidelines. All manuscripts will undergo a double-blind peer review process. - Abstract Submission (400 words) Deadline: October 30th 2025 - Full Paper Submission Deadline: January 30th 2026 - Publication Date: August 20th 2026 Please submit your abstracts and papers by email to (bsmr/at/tlu.ee <http://tlu.ee/>). For any inquiries, contact the editorial team at indrek.ibrus/at/tlu.ee <http://tlu.ee/>. We look forward to receiving your contributions to this timely discussion. Issue editor: Indrek Ibrus, Tallinn University The Baltic Screen Media Review is a free-to-publish open-access peer-reviewed journal that focuses on the analysis of audiovisual media and screen culture, particularly in the Baltic Sea region and its surrounding areas. It seeks to address media transformations within broader European and global contexts, emphasizing both regional specificities and transnational connections. Published by Tallinn University's Baltic Film, Media and Arts School, the journal serves as a forum for interdisciplinary research, offering insights into film, television, new media, and related cultural phenomena. Find out more: https://sciendo.com/journal/bsmr