Digitale Methoden für die Historische Semantik

Schwandt, Silke

doi:10.13109/gege.2018.44.1.107

Cited by 10 publications

(2 citation statements)

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“…But science is about conquering the unknown, there is no scientific innovation without uncertainty. Using data visualizations as part of the interpretation process produces uncertainty and provides a different kind of evidence that provokes new interpretations which can productively irritate previous knowledge (Schwandt, 2018). Allowing for the production of uncertainty opens up new spaces of interpretation.…”

Section: Producing Uncertainty In Historical Material/in History: Pro...mentioning

confidence: 99%

Visualization as irritation: producing knowledge about medieval courts through uncertainty

Schwandt,

Wachter

2024

Front. Big Data

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Visualizations are ubiquitous in data-driven research, serving as both tools for knowledge production and genuine means of knowledge communication. Despite criticisms targeting the alleged objectivity of visualizations in the digital humanities (DH) and reflections on how they may serve as representations of both scholarly perspective and uncertainty within the data analysis pipeline, there remains a notable scarcity of in-depth theoretical grounding for these assumptions in DH discussions. It is our understanding that only through theoretical foundations such as basic semiotic principles and perspectives on media modality one can fully assess the use and potential of visualizations for innovation in scholarly interpretation. We argue that visualizations have the capacity to “productively irritate” existing scholarly knowledge in a given research field. This does not just mean that visualizations depict patterns in datasets that seem not in line with prior research and thus stimulate deeper examination. Complementarily, “irritation” here consists of visualizations producing uncertainty about their own meaning—yet it is precisely this uncertainty in which the potential for greater insight lies. It stimulates questions about what is depicted and what is not. This turns out to be a valuable resource for scholarly interpretation, and one could argue that visualizing big data is particularly prolific in this sense, because due to their complexity researchers cannot interpret the data without visual representations. However, we argue that “productive irritation” can also happen below the level of big data. We see this potential rooted in the genuinely semiotic and semantic properties of visual media, which studies in multimodality and specifically in the field of Bildlinguistik have carved out: a visualization's holistic overview of data patterns is juxtaposed to its semantic vagueness, which gives way to deep interpretations and multiple perspectives on that data. We elucidate this potential using examples from medieval English legal history. Visualizations of data relating to legal functions and social constellations of various people in court offer surprising insights that can lead to new knowledge through “productive irritation.”

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Section: Producing Uncertainty In Historical Material/in History: Pro...mentioning

confidence: 99%

Visualization as irritation: producing knowledge about medieval courts through uncertainty

Schwandt,

Wachter

2024

Front. Big Data

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“…Nevertheless, there have been approaches to apply NLP methods in the fields of Digital Humanities and Digital History already, which demonstrate that using digital methods to deal with historical texts does not only enable us to generate new findings and process larger amounts of textual data. As highlighted by Schwandt (2018), an interdisciplinary approach combining computational methods and practices with historical research also changes the way we perceive and interpret text and allows for new research questions.…”

Section: Semantic Changes In Historical Polemical Writingmentioning

confidence: 99%

Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change

2023

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Welcome to the 4th International Workshop on Computational Approaches to Historical Language Change (LChange'23) co-located with EMNLP 2023. LChange is held on December 6th, 2023, as a hybrid event with participation possible both virtually and on-site in Singapore.Characterizing the time-varying nature of language will have broad implications and applications in multiple fields including linguistics, artificial intelligence, digital humanities, computational cognitive and social sciences. In this workshop, we bring together the world's pioneers and experts in computational approaches to historical language change with a focus on digital text corpora. In doing so, this workshop carries out the triple goals of disseminating state-of-the-art research on diachronic modeling of language change, fostering cross-disciplinary collaborations, and exploring the fundamental theoretical and methodological challenges in this growing niche of computational linguistic research.In response to the call, we received 28 submissions. Each of them was carefully evaluated by at least two members of the Program Committee, whom we believed to be most appropriate for each paper. Based on the reviewers' feedback we accepted 17 full and short papers as oral or poster presentations. We had two distinguished keynote presentations: the first by Gemma Boleda (Research Professor in the Department of Translation and Language Sciences of the Universitat Pompeu Fabra, Spain) who presented a talk entitled "What does semantic change have to do with Hello Kitty? Referring as the source of change", and the second by Mario Giulianelli (a postdoctoral fellow at ETH Zurich) with the talk "Neural language models for word usage representation and analysis". Finally, we invited five EMNLP'23 Findings papers to be presented as posters, which are not included in the workshop proceedings.To further support the community, we offered five student scholarships to cover registration fees. We also offered mentoring for four young researchers on their research topic in the field of language change, either during the workshop or virtually.We hope that you will find the workshop papers insightful and inspiring. We would like to thank the keynote speakers for their stimulating talks, the authors of all papers for their interesting contributions, and the members of the Program Committee for their insightful reviews. Our special thanks go to the emergency reviewers who stepped in to provide their expertise. We also express our gratitude to the EMNLP 2023 workshop chairs for their kind assistance during the organization process. Finally, our thanks go to our gold sponsor iguanodon.ai, as well as the research project "Towards Computational Lexical Semantic Change Detection" (Swedish Research Council, contract 2018-01184) and the research program "Change is Key!" (Riksbankens Jubileumsfond, contract M21-0021).

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Digitale Erkundungen historischer Medienverbünde

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Summann²

2020

Deutschsprachige Kinder- Und Jugendliteratur Im Medienverbund 1900-1945

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Digitale Methoden für die Historische Semantik

Cited by 10 publications

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Visualization as irritation: producing knowledge about medieval courts through uncertainty

Visualization as irritation: producing knowledge about medieval courts through uncertainty

Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change

Digitale Erkundungen historischer Medienverbünde

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