Update 2025.md

_editions/2025.md

@@ -10,10 +10,10 @@ Participants address these challenges by creating algorithms for analyzing, expl
 making it possible to establish the state of the art and track progress. Our larger aim is to promote reproducible research that makes multimedia a positive force for society.
 
 MediaEval goes beyond other benchmarks and data science challenges in that it also pursues a “Quest for Insight” (Q4I). With Q4I we push beyond only striving to improve evaluation 
-scores to also working to achieve deeper understanding about the challenges. For example, properties of the data, strengths and weaknesses of particular types of approaches, and observations 
+scores to also working to achieve deeper understanding about the challenges. For example, characteristics of the data, strengths and weaknesses of particular types of approaches, and observations 
 about the evaluation procedure.
 
-Currently, MediaEval is calling for task proposals, see the call for proposals [link](https://multimediaeval.github.io/2024/09/24/call.html).
+Currently, MediaEval is calling for task proposals, see the [call for proposals](https://multimediaeval.github.io/2024/09/24/call.html).
 
 Watch here for announcements of the tasks that will be offered in MediaEval 2025.