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We report results of the CASE 2022 Shared Task 1 on Multilingual ProtestEvent Detection. This task is a continuation of CASE 2021 that consists of foursubtasks that are i) document classification, ii) sentence classification, iii)event sentence coreference identification, and iv) event extraction. The CASE2022 extension consists of expanding the test data with more data in previouslyavailable languages, namely, English, Hindi, Portuguese, and Spanish, andadding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, documentclassification. The training data from CASE 2021 in English, Portuguese andSpanish were utilized. Therefore, predicting document labels in Hindi,Mandarin, Turkish, and Urdu occurs in a zero-shot setting. The CASE 2022workshop accepts reports on systems developed for predicting test data of CASE2021 as well. We observe that the best systems submitted by CASE 2022participants achieve between 79.71 and 84.06 F1-macro for new languages in azero-shot setting. The winning approaches are mainly ensembling models andmerging data in multiple languages. The best two submissions on CASE 2021 dataoutperform submissions from last year for Subtask 1 and Subtask 2 in alllanguages. Only the following scenarios were not outperformed by newsubmissions on CASE 2021: Subtask 3 Portuguese \& Subtask 4 English.

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022