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Identifying Scientists on X

Paper recorded by Signals 4 on 2026-09-25 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.CL · 自然语言处理 · first seen 2026-09-28

Abstract

With the growing importance of science-related discourse on the Web and the erosion of the classical knowledge order, it is important to identify different user groups, such as scientists, automatically. This work proposes an approach for identifying scientists and non- scientists on X/Twitter based on their user biographies and tweets. We show that we are able to classify accounts as scientists a

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#14 most recent of 267 cs.CL papers we have recorded · ↑ newer: Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Dep · ↓ older: MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and
Cite this page: Identifying Scientists on X: the #14 most recent of 267 cs.CL papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/identifying-scientists-on-x.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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