The field of social media research is moving towards a deeper understanding of the complex interactions between online platforms, user sentiment, and real-world outcomes. Recent studies have highlighted the importance of multimodal analysis, incorporating both text and video data, to capture the nuances of online discourse. This has led to a greater understanding of how social media sentiment can influence cryptocurrency markets and other areas of online engagement. Noteworthy papers in this area include the study on Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features, which demonstrated the potential of integrating cross-platform sentiment signals to improve forecasting accuracy. Another notable paper, Sentiment-Aware Mean-Variance Portfolio Optimization for Cryptocurrencies, presented a dynamic portfolio optimization strategy that leverages sentiment analysis to enhance investment decision-making.