Tracking Twitter Performance for AI Research Engagement
Analysis
This article provides a personal account of tracking Twitter engagement to improve communication and networking within the AI research community. The author's approach of quantifying follower growth and likes offers a data-driven perspective on social media strategy. While the methodology is simple, the insights gained are valuable for researchers seeking to expand their online presence and impact. The focus on thoughtful, "major" tweets highlights the importance of quality over quantity in online communication. The article's relatability and practical advice make it a useful resource for those new to Twitter or looking to enhance their engagement within the AI field.
Key Takeaways
“In AI research, the social component largely revolves around Twitter, which distributes ideas in many different ways—people discuss research papers, learn about job opportunities, and meet new collaborators.”