Update newsimages.md

Author: cmihaigabriel

_editions/2025/tasks/newsimages.md

@@ -40,7 +40,7 @@ This task targets researchers who are interested in investigating the retrieval
 This challenge uses the open-source [GDELT](https://www.gdeltproject.org/) news dataset. We create and share a subset of 8,500 news articles collected during 2022 and 2023. The news articles are all in English. Each item includes the article title, article lead, and the original image. The article text itself is not shared, but participants are free to retrieve it from the original source. We ask participants to use the [Yahoo-Flickr Creative Commons 100 Million (YFCC100M)](https://www.multimediacommons.org/) dataset to source the images for the retrieval task.
 
 #### Evaluation methodology
-The generated and retrieved image submissions of the participants will be evaluated during a crowd-sourced event. To that end, the organizers provide an online tool and distribute accounts to participants. The participants are then requested to rate the quality of submitted images of their peers. The winning team is determined by the overall average rating for submitted images. In addition to the qualitative questions outlined above, the rating procedure for generated images will include a check for policy compliance. The policy applied within the scope of this challenge is based on existing AI guidelines in news media: Generated image submissions should adhere to current editorial standards and not suggest that they accurately represent real events, deceive, or mislead readers in any other way.
+The generated and retrieved image submissions of the participants will be evaluated during a crowd-sourced event. To that end, the organizers provide an online tool and distribute accounts to participants. The participants are requested to rate the  fit and the relevance of the images that were submitted by their peers. The winning team is determined by the overall average rating for submitted images. In addition to the qualitative questions outlined above, the rating procedure for generated images will include a check for policy compliance. The policy applied within the scope of this challenge is based on existing AI guidelines in news media: Generated image submissions should adhere to current editorial standards and not suggest that they accurately represent real events, deceive, or mislead readers in any other way.
 
 Two subsets of image submissions will be rated during the evaluation event. We have a small subset of predetermined articles (will be communicated in advance by the organizers) and a larger subset of randomly picked articles. This allows the participants to focus on creating hand-crafted solutions for the predetermined article-image pairs as well as fully automated and scalable solutions for the random sample.