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| Journal of Cultural Analytics | |
|---|---|
| Title | Journal of Cultural Analytics |
| Discipline | Digital humanities; cultural studies |
| Language | English |
| Abbreviation | JCA |
| Publisher | Cultural Analytics Lab |
| Country | United States |
| History | 2016–present |
| Frequency | Online continuous |
Journal of Cultural Analytics is an open-access, peer-reviewed journal that publishes research at the intersection of computational methods and humanities inquiry, connecting scholars working on Dante Alighieri, Virginia Woolf, William Shakespeare, Jane Austen, Homer, Leo Tolstoy, Fyodor Dostoyevsky, Marcel Proust, James Joyce, Franz Kafka, Gustave Flaubert, Charles Dickens, Miguel de Cervantes, Herman Melville, Edgar Allan Poe, Toni Morrison, Gabriel García Márquez, Philip Roth, Isabel Allende, Haruki Murakami, Ngũgĩ wa Thiong'o, Chinua Achebe, Sappho, Virgil, Beethoven, Mozart, Bach, Pablo Picasso, Vincent van Gogh, Claude Monet, Henri Matisse, Jackson Pollock, Andy Warhol, Frida Kahlo, Georgia O'Keeffe, Auguste Rodin, Michelangelo, Leonardo da Vinci, Rembrandt, Édouard Manet, Augusta Read Thomas, Igor Stravinsky, John Cage, Marina Abramović, Yoko Ono, Marcel Duchamp, Stanley Kubrick, Alfred Hitchcock, Akira Kurosawa, Federico Fellini, Ingmar Bergman, Hayao Miyazaki, Satyajit Ray, Andrei Tarkovsky, Walt Disney, Perec, Roland Barthes, Michel Foucault, Pierre Bourdieu, Jacques Derrida, Edward Said, Frantz Fanon, Gayatri Chakravorty Spivak, Stuart Hall, Raymond Williams, Benedict Anderson, Clifford Geertz, Noam Chomsky, Claude Lévi-Strauss, Walter Benjamin, Jürgen Habermas, Hannah Arendt, Aristotle, Plato.
The journal was founded in 2016 by scholars and practitioners from institutions such as Harvard University, Massachusetts Institute of Technology, Stanford University, Columbia University, University of Chicago, University of California, Berkeley, Yale University, Princeton University, New York University, University of Toronto, University of Oxford, University of Cambridge, King's College London, University of Pennsylvania, Duke University, University of Michigan, Cornell University, Brown University, University of Illinois Urbana-Champaign, University of California, Los Angeles, University of Wisconsin–Madison, University of Sydney, University College London, École normale supérieure, Sorbonne University, Peking University, Tsinghua University, National University of Singapore, University of Hong Kong, University of Cape Town, University of São Paulo, McGill University, University of British Columbia, Australian National University, University of Edinburgh, University of Manchester, Johns Hopkins University, University of Texas at Austin, University of North Carolina at Chapel Hill, University of Melbourne, Seoul National University, ETH Zurich, Ludwig Maximilian University of Munich, University of Amsterdam to address emerging practices linking computational analysis to texts, images, and audiovisual corpora. Early editorial leadership included scholars associated with Digital Humanities Summer Institute, ADHO, Humanities Commons, NEH, ACL, ACM, IEEE, and national research councils in the United States, United Kingdom, Canada, Australia, Germany, France, China, India, South Africa.
The journal aims to publish work that applies algorithmic, statistical, and visualization techniques to materials drawn from archives, libraries, and cultural repositories such as Library of Congress, British Library, Bibliothèque nationale de France, Vatican Library, Princeton University Library, Bodleian Library, New York Public Library, National Diet Library (Japan), National Library of China, Biblioteca Nacional de España, Biblioteca Nacional de Brasilia, Royal Library of the Netherlands, Deutsche Nationalbibliothek, Austrian National Library, National Library of Australia, State Library of New South Wales, National Library of Scotland, Biblioteca Nacional de Portugal, National Library of India, and Library and Archives Canada. It encourages submissions connecting computational practice to scholarship on figures and institutions represented by names above and on collections related to Renaissance, Enlightenment, Romanticism, Modernism, Postmodernism, Baroque, Neoclassicism, Impressionism, Surrealism, Cubism, Expressionism, Realism, Naturalism, Symbolism, Digital Revolution.
The editorial board has featured members affiliated with MIT, Harvard, Stanford, University of Oxford, Princeton, Yale, Columbia University, University of California, Berkeley, University of Toronto, University of Melbourne, University of Chicago, Duke University, King's College London, University College London, National University of Singapore, Peking University, Tsinghua University, University of Hong Kong, ETH Zurich, Ludwig Maximilian University of Munich, University of Amsterdam, McGill University, University of British Columbia, Australian National University, University of Edinburgh, University of Manchester, Johns Hopkins University, Brown University, Cornell University, University of Illinois Urbana-Champaign, University of Michigan, University of Pennsylvania, and University of California, Los Angeles. Peer review follows standards in journals such as Nature, Science, PLOS ONE, Digital Scholarship in the Humanities, Computers and the Humanities, Literary and Linguistic Computing, Transactions of the Association for Computational Linguistics, and Journal of Machine Learning Research, with policies on data sharing and reproducibility informed by Open Science Framework, Creative Commons, and funders including Andrew W. Mellon Foundation, National Endowment for the Humanities, European Research Council, Social Sciences and Humanities Research Council, Australian Research Council.
The journal publishes research articles, methodological notes, data papers, replication studies, and teaching resources engaging tools and approaches associated with Python (programming language), R (programming language), TensorFlow, PyTorch, scikit-learn, Stanford CoreNLP, spaCy, NLTK, Word2Vec, BERT (language model), GPT (family), Latent Dirichlet Allocation, Topic modeling, Network analysis, Gephi, Pajek, GIS, ArcGIS, QGIS, Optical character recognition, Tesseract (software), ImageNet, Convolutional neural network, Recurrent neural network, Transformer (machine learning model), Principal component analysis, Multidimensional scaling, t-SNE, UMAP, Markov chain Monte Carlo, Bayesian statistics, Maximum likelihood estimation, Bootstrap (statistics), Crowdsourcing, Distant reading, Close reading, Corpus linguistics, Digital archives.
The journal is indexed in directories and services used by scholars such as Google Scholar, Scopus, Web of Science, Directory of Open Access Journals, CrossRef, ORCID, JSTOR, Project MUSE, and is assigned DOIs via CrossRef. Citation metrics are compared alongside journals like Critical Inquiry, New Literary History, Representations (journal), PMLA, Modern Language Quarterly, Digital Humanities Quarterly, Computational Linguistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Journal of Cultural Economics when evaluating interdisciplinary impact for hiring and grant review panels at institutions including National Science Foundation, European Commission, Mellon Foundation, Guggenheim Foundation, MacArthur Foundation, and national academies such as American Academy of Arts and Sciences.
The journal has been cited and discussed in forums and meetings including Modern Language Association, Association for Computational Linguistics, Digital Humanities Conference, European Consortium for Humanities Informatics, International Conference on Computational Linguistics, Society for Cinema and Media Studies, International Congress on Medieval Studies, Society for American Music, American Historical Association, College Art Association, Association for Documentary Editing, American Anthropological Association, International Association for Literary Journalism Studies, and workshops at Harvard, MIT, Stanford, Yale, Oxford, Cambridge, Princeton, Columbia, King's College London, UCL, Paris-Sorbonne, Peking University, Tsinghua University, University of Tokyo, Seoul National University. Its interdisciplinary approach has influenced curricula in departments of English literature, Comparative literature, Art history, Musicology, Film studies, Classics, and programs at Digital Humanities Summer Institute, Humanities+Design initiatives, and labs such as the Cultural Analytics Lab and computational centers at Stanford Humanities Center.
Noteworthy contributions have addressed computational analysis of corpora related to Shakespeare, Austen, Dickens, Tolstoy, Proust, Joyce, Kafka, Morrison, García Márquez, Achebe, Allende, Murakami, and visual studies of collections from British Museum, Metropolitan Museum of Art, Museum of Modern Art, Tate Modern, Museo del Prado, Uffizi Gallery, Louvre Museum, Rijksmuseum, Hermitage Museum, Prado Museum, Van Gogh Museum, National Gallery (London), along with special issues focused on themes such as text mining, digital pedagogy, multimodality, visualization, bias in AI, ethics of digital methods, colonial archives, translation studies, archive digitization, sound studies, and computational philology. Editors have curated collections in dialogue with centers like The New York Public Library Labs, Europeana, Digital Public Library of America, HathiTrust, Internet Archive, Gallica, China National Knowledge Infrastructure, and national digitization projects sponsored by entities such as Smithsonian Institution and Library of Congress.
Category:Digital humanities journals