Posts by maria_antoniak@sigmoid.social
(DIR) Post #APZHjbSVdHwksvLOzo by maria_antoniak@sigmoid.social
2022-11-13T16:34:36Z
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I've been reviewing, and one thing on my mind again is that as a reviewer, I get more traction with the other reviewers by framing ethical issues "technically" rather than as "harms." And it's true that ethical problems very often go hand in hand with technical problems. If you train a "gender" classifier on names, there will be serious accuracy issues that are rarely probed or described. And if you make that mistake, you likely make other technical mistakes too. But...
(DIR) Post #APZHjc1xVUIqerviFc by maria_antoniak@sigmoid.social
2022-11-13T16:39:52Z
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...this also makes me think again about this paper from last year's FAccT, and how the values described connect to reviewing. I really think it's worth reading this paper if you're reviewing ML papers."The Values Encoded in Machine Learning Research" (Abeba Birhane et al.)https://facctconference.org/static/pdfs_2022/facct22-14.pdf(s/o to @emilymbender who I think has made a similar point about ethical/technical issues going hand in hand)
(DIR) Post #AQmQGmntoECb2WVUQq by maria_antoniak@sigmoid.social
2022-12-19T22:35:16Z
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Other people have already written about toxicity issues on Mastodon, and I agree there is a funny tone here that is maybe connected to the chaotic threading. Without coherent threads (e.g., easy-to-trace branches, popular replies highlighted), people don't know what has already been shared in the conversation, and so they reply to the original post with the same suggestions over and over. Not their fault at all, but the total effect on the original poster isn't fun.
(DIR) Post #AQmQGoRdhxaK846k0u by maria_antoniak@sigmoid.social
2022-12-19T22:36:04Z
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And all of this makes me really really sad for the amazing design work that went into Twitter. This stuff isn't at all easy.
(DIR) Post #ASpj1kS6VAMa5CBVVw by maria_antoniak@sigmoid.social
2023-01-10T21:39:40Z
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I'm teaching "NLP for Cultural Analytics" at UW Linguistics this quarter, and I thought I'd share my reading list for the course. https://maria-antoniak.github.io/teaching/2023-nlp-caLots of usual suspects from the Journal of Cultural Analytics, but also pieces from NLP and computational social science. Thinking back to an earlier thread on "what even is cultural analytics," you can see from this list my perception of the field (or maybe just what I'm in the mood to read right now).#DigitalHumanities #CulturalAnalytics
(DIR) Post #ASpj1m7yGzRnHKmSPY by maria_antoniak@sigmoid.social
2023-01-10T21:40:48Z
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(Thank you @emilymbender for the invitation to revisit UW Linguistics!)
(DIR) Post #ASpj1p4BLXCOOS1yQC by maria_antoniak@sigmoid.social
2023-01-10T21:48:50Z
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It's my first time crafting my own syllabus, and I'm sure this list is imperfect. Certainly it reflects my own biases in good ways (my personal interests, what makes the course "mine") and ways that I can work on improving. Lots to reflect on and learn from if I teach again in the future. But I'm happy that the list includes a broad range of topics and a decent amount of data ethics, evaluation, reproducibility, and critical studies from different fields, along with reusable technical methods.
(DIR) Post #AaV90jYdBAx2kKAySO by maria_antoniak@sigmoid.social
2023-10-05T17:58:37Z
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Join me on Bluesky! 🦋1. Anyone can create and share their own feed. You can have a chronological feed, an algorithmic feed, a cat-pictures-only feed.2. You can control whether and how often to see replies, reposts, quotes, threads.3. You can control the ranking of replies (most liked, oldest first, newest first, random).4. It's under construction but not broken-at-its-core like Mastodon (you can actually see all the replies to people's posts!).5. It's easy, fun, and growing!