The content analysis task of the MC2 CLEF 2017 lab aims to generate small summaries in four languages to contextualize microblogs. This paper analyzes the challenges of this task and also details the advantages and limitations of our approach using a cross-lingual compressive text summarization. We split this task in several subtasks in order to discuss their setup. In addition, we suggest an evaluation protocol to reduce the bias of the current metrics toward the approaches by extraction.