deployment-and-society.
11 of 378 NOTE documents. Back to the full index.
| # | Title | Summary | Status |
|---|---|---|---|
| NOTE-229 | Auditing Political Exposure Bias | Reading it to find out whether deployment-and-society earns its place: it does, and not because of the finding. The methods section is a sequence of stated trades about measuring a system you cannot inspect, and the sharpest result is that the arm following nobody gets the most diverse timeline. | Read |
| NOTE-230 | Informative and Actionable Social Media Research | Reading it: the power-grid example is the whole paper and it is worth the space. Treat too few substations and the grid absorbs it; treat enough and the controls black out too. Both give “no effect”, both are wrong, and nothing about that argument is specific to social media. | Read |
| NOTE-231 | Industry Influence in Social Media Research | Reading it: the number that matters is not 49% of papers but 21% of authors. A field where half the high-profile output has industry ties held by a fifth of its people is not a field engaging broadly with industry — it is a small group with durable relationships, and that is a different diagnosis. | Read |
| NOTE-236 | AI on Change.org | Read to test it against SOTA-291’s promotion condition, which it satisfies. The platform-level difference-in-differences is the strong evidence; the repeat-writer analysis reads stronger than it is; and the finding with the longest reach — that the text features stopped predicting outcomes — is in the appendix. | Read |
| NOTE-241 | LLMs raise the opportunity cost of research time | Read for a mechanism THEORY-051 named and the record could not supply: why effort would fall when a writing tool gets better. The answer is that a perfect time-saving tool raises the value of time, and the interesting part is not the decline but the phase dependence — the model predicts opposite signs for selectivity, and the opposite sign for thoroughness, from properties of the tool you can identify before deploying it. | Read |
| NOTE-250 | MIMI: the objective that needs the knowledge it assumes away | Read from the #180 worklist in rank order. The headline is a task-agnostic interface score; the durable finding is its failure case, where an assistant doing its job drives the metric negative and the fix is a horizon hyperparameter that requires exactly the task knowledge the objective was built to avoid. | Read |
| NOTE-268 | A data-free lineage check built on the products that survive permutation and scaling | Read because the grep came back empty: the record holds no document about model provenance. The method is one good idea executed cleanly — compare the spectra of matrix products that functionality-preserving transforms cannot change — and the honest limit is that it is evidence of derivation, not proof against an adversary who has read the paper. | Read |
| NOTE-354 | AgentSociety | The paper presents a simulator of about 10k LLM-driven agents in a realistic urban, social and economic environment. It claims that the simulator’s outcomes on polarization, inflammatory-message spread, UBI, hurricane mobility shocks and urban sustainability qualitatively match real-world empirical findings, which would make it usable as a testbed for social science. | Skimmed |
| NOTE-374 | Your Brain on ChatGPT (cognitive debt) | In a small four-month EEG study, participants who wrote essays with ChatGPT showed the weakest brain connectivity, the lowest sense of ownership and the worst recall of their own essays. Those switched from ChatGPT to no tools stayed under-engaged, which the authors call accumulated “cognitive debt”. | Skimmed |
| NOTE-375 | Burrell: automated decision-making as domination | Defining algorithmic injustice as allocative unfairness is a product of computer science’s status and funding, not of the harms themselves. Redefining it as domination, following Iris Marion Young, widens the remedies from code fixes to law, participation, resistance and bans. | Skimmed |
| NOTE-377 | Generative AI on social media: an experiment | In a randomized experiment with 680 US participants, generative-AI writing aids raised engagement and output on a simulated social platform but lowered perceived quality and authenticity, with negative spill-over into threads, and no single tool improved both producer and consumer experience. | Skimmed |