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Social Media Monitoring Practices by Smart Cities: Benefits and Risks
This chapter highlights promising digital solutions for smart cities to improve urban feedback loops. The chapter discusses using media monitoring, artificial intelligence techniques, urban apps, and community structures to meet the challenge of identifying and evaluating problems faced by city authorities and public utilities. The chapter utilizes expert interviews and case studies to demonstrate the systems approach, including the development of urban apps, bots, communities, and media monitoring systems. It highlights the pros and cons of various options and emphasizes media monitoring as a potential alternative. The major objectives include detecting and assessing urban issues using objective data, improving response times, reducing crime, evaluating problem-solving dynamics, reviewing city PR, and assessing municipality performance. The chapter discusses two methods for media monitoring: one based on user reactions (likes, reposts, comments) and another based on message count. 74The next section covers media monitoring system implementation, including language model creation, AI-based sentiment analysis, and spam prevention measures. This highlights the importance of AI technologies like computer vision and text recognition in media analysis. The chapter covers data analytic approaches for media monitoring, such as seasonal smoothing, alert systems, and strategy comparisons. Additionally, it addresses the difficulties and constraints of conveying a message’s tone.