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When monitoring certain countries, a lot of the IDETECT facts concerning "displaced" people are in fact about refugees. I would not mark these as irrelevant as these entries could be relevant for e.g. UNHCR, and there is nothing wrong with the entries (technically).
However, they do make our use of IDETECT less efficient as it necessitates skimming a lot of entries that turn out to be irrelevant because contextual information indicates that they concern cross-border flows. It also does not help to filter to exclude "refugee" entries as the detected term for these entries is not "refugee" but "displaced", "forced to flee", etcetera.
I am not sure if there is any solution to this, but wanted to highlight the issue as it has an impact on the time it takes to go through all the IDETECT entries and thus impacts efficiency.
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The text was updated successfully, but these errors were encountered: