Switch to: References

Add citations

You must login to add citations.
  1. Learning Social Media Content Optimization: How Can SMEs Draw the Users' Attention on Official WeChat Accounts?Xueyun Zeng, Xuening Xu & Yenchun Jim Wu - 2022 - Frontiers in Psychology 12.
    Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • A Hybrid Feature Selection and Ensemble Approach to Identify Depressed Users in Online Social Media.Jingfang Liu & Mengshi Shi - 2022 - Frontiers in Psychology 12.
    Depression has become one of the most common mental illnesses, and the widespread use of social media provides new ideas for detecting various mental illnesses. The purpose of this study is to use machine learning technology to detect users of depressive patients based on user-shared content and posting behaviors in social media. At present, the existing research mostly uses a single detection method, and the unbalanced class distribution often leads to a low recognition rate. In addition, a large number of (...)
    Download  
     
    Export citation  
     
    Bookmark