Museum social media content generation and personalised push algorithms based on social networking technology

Key Points

• The aim is to explore how personalized algorithms can enhance content generated for museum audiences via social media.
• Conducted a randomized trial to evaluate the effectiveness of personalized push algorithms.
• Utilized social networking technology to analyze user engagement with museum content.
• Monitored metrics related to content interaction and visitor response.
• Personalized algorithms increased user engagement by 30% compared to traditional methods (p<0.05).
• Visitors reported a higher satisfaction rate with tailored content, indicating a positive experience (95% CI).
• Content generated through algorithms showed a 25% improvement in click-through rates.