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AbstractThis paper analyses the contribution of survey data, in particular various sentiment indicators, to nowcasts of quarterly euro area GDP. It uses a genuine real-time dataset that is constructed from original press releases in order to transform the actual data ow into an interpretable ow of news. The latter is de ned as the di erence between the released values and the prediction of a mixedfrequency dynamic factor model. Our purpose is twofold. First, we aim to quantify the speci c value added for nowcasting GDP from a set of heterogeneous data releases including not only sentiment indicators constructed by Eurostat, Markit,