This study examines how published studies characterize the meanings of the hashtag #KaburAjaDulu on Platform X (formerly Twitter), how these characterizations differ across the periods the studies cover, and which differences can be attributed to method rather than to change in use. Using a qualitative, document-based single case study, it analyzes a corpus of four sources, two read in full and two known from abstracts only. Passages describing the hashtag’s meaning were extracted, coded into meaning categories, arranged by the period of the data, and assessed against a comparability matrix of tools, samples, and analytic frames. The sources describe the hashtag as multifunctional: all report literal-migration, socio-political critique, and collective or identity senses, and the full-text sources add humorous and informational uses. These senses co-exist within the same period and are not presented as successive stages. The reported sentiment distributions differ strongly between a February 2025 sample and a March–April 2025 sample, but the differences are better explained by differences in tool, sampling, and period than by change in use. No difference in the corpus qualifies as an indication of change in reported use, and the available evidence cannot show semantic shift. The study recommends corpus-based research that applies one collection tool across periods, codes meaning independently of sentiment, and includes data from after April 2025.
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