Model performance over the three types of retweet networks.

We report performance on ViewpointNN and TopicNN metrics with k = 5 as well as their average (NN Mean), and the Pearson correlation metric. The Baseline performance for ViewpointNN and TopicNN metrics is the same across different retweet networks as the baselines do not leverage the social network information. The correlation metric is computed on the corresponding test split for each network type. FT refers to fine-tuned contrastive models, and TA-FT refers to topic-aware contrastive models. The best results for each metric is shown in bold.