Hello guys, I am a CS engineer and from time to time I see this term “Digital Humanities” thrown around. After a few internet search I still haven’t understood.

Do you know what is it all about?

  • KelsonV Old Account
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    710 months ago

    I would assume it involves computer-related writings, history, etc. How people communicate online, hypertext fiction, wikis, the differences in how people write and present media online compared to on paper. How people have used memes, emoji, etc. Hacker lore. Some overlap with digital arts and social sciences - ethics, media creation

  • @spacedout@lemmy.ml
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    10 months ago

    It’s about methodology more than research questions, although they are of course linked. Incorporating digital methods in your humanities project, like GIS, 3D modeling or ABM, will quickly land you in digital humanities. Remember though, humanities have a lot of theory and methodology you might be unfamiliar with as a CS student, so teaming up with someone who has those skills but lack in programming etc. will synergize in this field.

  • @Pinea@lemmy.ml
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    310 months ago

    You can spend the entire first year of a Dh degree trying to come up with a defition ;) for some it is humanities with digital methods, for me Dh is the study of the intersections between digital technology and society. So I’d work on decentralised networks, plus the ideology behind it. Also I do some web archiving, and try to argue for public access to web archives .

    Have a look at https://journalofdigitalhistory.org/en , I think it’s a good example of a Dh journal

      • Martín
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        22 months ago

        I work in the Digital Humanities and my experience is that typically Computer Science, Information Science and Data Science are not well prepared to work with Humanities data. Some commonplace challenges:

        • the methodologies used in the humanities like semiotics, phenomenology, etc. often do not allow for the level of formalisation that a computer science model would require
        • (probably a consequence of the above) data in the humanities is rarely quantitative and much more often qualitative, i.e. nominal and categorical if structured at all. That’s why for example a lot of attention is paid recently to language models, but repeatedly we find out that these have undesirable (inadequate) biases
        • a particularly big issue is that historical data is much more scarce than data scientists would like, and often it is not digitised or digitised with poor quality. As a consequence established machine learning approaches cannot be trained

        There’s much more to it, but these are the most immediate challenges that come to my mind.

  • @snek_boi@lemmy.ml
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    210 months ago

    I could be wrong, but there’s the possibility that this refers to an education that is well rounded. Specifically, an education that teaches both the humanities and digital literacy. Someone graduating from this would be both a good reader, writer, citizen, and computer user.