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D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13324))

Abstract

Under the umbrella of the D-WISE project, manual and digital approaches to discourse analysis are combined to develop a prototypical working environment for digital qualitative discourse analysis. This new qualitative data analysis tool, called D-WISE Tool Suite, is built up in a process of close exchange by the two teams from humanities and informatics and focuses on developing central innovations regarding the availability of relevant Digital Humanities (DH) applications. Bridging the gap between structural patterns detected with digital methods and interpretative processes of human meaning making is at the core of the collaborative approach of anthropological studies and computer linguistics in the D-WISE project, which innovates both informatics technology of context-oriented embedding representations and hermeneutic methodologies for discourse analysis in the Sociology of Knowledge Approach to Discourse (SKAD). In this paper, the intertwining of the two paradigms Human-in-the-loop and AI-in-the-loop will be presented by outlining the concept of Human Computer Interaction (HCI) in the D-WISE Tool Suite with its AI-empowered features and established modes of feedback-loops and the supported functions for facilitating SKAD.

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Notes

  1. 1.

    Li and Hilleges (2021, vi) point this out in their introduction with reference to the foundation of new institutes in Stanford, Maryland, Utrecht and the Technical University in Denmark.

  2. 2.

    Koch points this out with reference to Evans 2012.

  3. 3.

    Koch is referring to Bowker and Star 2004.

  4. 4.

    Carter et al. on hermeneutic literature review, here with reference to Boell & Cecez-Kecmanovic, 2014.

  5. 5.

    How do computers influence its users by its categorization, stereotypically, gender disparate or even racist presets via biased trainings by humans? See Rodwell in this panel (preprint).

  6. 6.

    Schäffer refers here to Manovich 2013, p. 29.

  7. 7.

    See paper by Binder et al. in this panel (preprint).

References

  • Akata, Z., et al.: Research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence. Computer 53(8), 18–28 (2020). https://doi.org/10.1109/MC.2020.2996587

    Article  Google Scholar 

  • Brown, T., et al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems, vol. 33, pp. 1877–1901. Curran Associates Inc., Vancouver (2020)

    Google Scholar 

  • Chen, Y.-C., et al.: UNITER: UNiversal image-TExt representation learning. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12375, pp. 104–120. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58577-8_7

    Chapter  Google Scholar 

  • Carter, L., Liu, D., Cantrell, C.: Exploring the intersection of the digital divide and artifical intelligence: a hermeneutic literature review. AIS Trans. Hum.-Comput. Interact. 12(4), 253–275 (2020). https://doi.org/10.17705/1thci.00138

    Article  Google Scholar 

  • Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minnesota, pp. 4171–4186. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/N19-1423

  • De Castilho, R.E., et al.: A web-based tool for the integrated annotation of semantic and syntactic structures. In: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), pp. 76–84. The COLING 2016 Organizing Committee, Osaka (2016)

    Google Scholar 

  • Fritz, A., Brandt, W., Gimpel, H., Bayer, S.: Moral agency without responsibility? Analysis of three ethical models of human-computer interaction in times of artificial intelligence (AI). De Ethica. A J. Philos. Theol. Appl. Ethics 6(1), 3–22 (2020). https://doi.org/10.3384/de-ethica.2001-8819.20613

  • Gius, E., et al.: Catma 6 (Version 6.3). Zenodo, Online (2021)

    Google Scholar 

  • Green, B., Chen, Y.: Disparate interactions: an algorithm-in-the-loop analysis of fairness in risk assessments. In: Proceedings of the 2019 Conference on Fairness, Accountability, and Transparency, FAT* 2019, Atlanta (2019). https://doi.org/10.1145/3287560.3287563

  • Holzinger, A.: Interactive machine learning for health informatics: when do we need the human-in-the-loop? Brain Inform. 3(2), 119–131 (2016). https://doi.org/10.1007/s40708-016-0042-6

    Article  Google Scholar 

  • Keller, R., Hornidge, A.-K., Schünemann, W.J.: The Sociology of Knowledge Approach to Discourse. Routledge, London (2018)

    Book  Google Scholar 

  • Koch, G.: The ethnography of infrastructures. Digital humanities and cultural anthropology. In: Benardou, A., Champion, E., Dallas, C., Hughes, L.M. (eds.) Cultural Heritage Infrastructures in Digital Humanities, pp. 63–81. Routledge, New York (2018)

    Google Scholar 

  • Koch, G., Franken, L.: Filtern als digitales Verfahren in der wissenssoziologischen Diskursanalyse. In: Klimczak, P., Petersen, C., Breidenbach, S. (eds.) Soziale Medien. ars digitalis, pp. 121–138. Springer, Wiesbaden (2020). https://doi.org/10.1007/978-3-658-30702-8_6

    Chapter  Google Scholar 

  • Krishna, R., Gordon, M., Fei-Fei, L., Bernstein, M.: Visual intelligence through human interaction. In: Li, Y., Hilliges, O. (eds.) Artificial Intelligence for Human Computer Interaction: A Modern Approach. HIS, pp. 257–314. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82681-9_9

    Chapter  Google Scholar 

  • Li, Y., Hilliges, O. (eds.): Artificial Intelligence for Human Computer Interaction: A Modern Approach. HIS, Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82681-9

    Book  Google Scholar 

  • Moretti, F.: Distant Reading. Verso, London (2013)

    Google Scholar 

  • Oeste-Reiß, S., et al.: Hybride wissensarbeit. Informatik Spektrum 44(3), 148–152 (2021). https://doi.org/10.1007/s00287-021-01352-0

    Article  Google Scholar 

  • Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Proceedings of the International Conference on Machine Learning, pp. 8748–8763. PMLR (2021)

    Google Scholar 

  • Schäffer, B., Klinge, D., Krämer, F.: DokuMet QDA: Softwarevermitteltes Forschen, Lehren und Lernen mit der Dokumentarischen Methode. Zeitschrift für Qualitative Sozialforschung, preprint. Budrich, Leverkusen (2021)

    Google Scholar 

  • Wautelet, Y., Heng, S., Kolp, M., Mirbel, I.: Unifying and extending user story models. In: Jarke, M., et al. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 211–225. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07881-6_15

    Chapter  Google Scholar 

  • Yimam, S.M., et al.: New/s/leak – information extraction and visualization for investigative data journalists. In: Proceedings of ACL-2016 System Demonstrations, Berlin, pp. 163–168. Association for Computational Linguistics (2016). https://doi.org/10.18653/v1/P16-4028

  • Yimam, S.M., Remus, S., Pachenko, A., Holzinger, A., Biemann, C.: Entity-Centric Information Access with the Human-in-the-Loop for the Biomedical Domains. Incoma Ltd. Shoume, Varna (2017). https://doi.org/10.26615/978-954-452-044-1_006

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Acknowledgements

This research was supported by the German Federal Ministry of Education and Research, under grant no. 01UG2124, www.dwise.uni-hamburg.de.

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Correspondence to Isabel Eiser .

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Koch, G. et al. (2022). D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse. In: Rauterberg, M. (eds) Culture and Computing. HCII 2022. Lecture Notes in Computer Science, vol 13324. Springer, Cham. https://doi.org/10.1007/978-3-031-05434-1_5

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  • DOI: https://doi.org/10.1007/978-3-031-05434-1_5

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