Literature Review of social media

It has been observed that role of internet, social networks and big data in modern world is increasing with the passage of time. So, modern cities are adopting these technologies to achieve various purposes. A research study was conducted in 2018 to use social media analytics as a tool for event detection as well as sentiment analysis of three UAE cities. These smart cities do use various kinds of sensors as well as Internet of Things (IoT) devices, so that city life can be improved in health, transportation, energy and many other sectors. The use of social media networks as well as these technologies comes up with large amount of big data, which needs to be managed properly so that it can be used effectively. This study specifically used social media analytics so that big data of three UAE cities is analyzed, which would help to identify events happening in these cities as well as citizens concerns about these events such as concerns about traffic. The analytics revealed that citizen of these cities were frustrated about the traffic situation, so authorities need to use this big data to improve flow of traffic (Nuaimi, Shamsi, Shamsi, & Badidi)

It is mentioned earlier that social media can be used for real time information. But the other great thing about use of these social networks such as Twitter is that sentiment analysis of the citizens can be done. The governments around the world are trying their best to connect more with their citizens so that objective of smart cities can be achieved. One of the research studies was conducted to make sentiment analysis through Twitter, so a methodological framework was used to not only collect, but analyze as well as map the sentiments of citizen to know about their certain moods. The governments can use this kind of analysis to keep a close eye on the moods of its citizen, and adjust accordingly with better governance. It was found out in the study that if Twitter analysis if used properly by the government, it can really keep an eye on the moods of its citizens all the time. It was also found that use of emoji can be extremely helpful to know about people through Twitter’s sentiment analysis (Li, Ch’ng, Chong, & See, 2016)

It is also important to analyze the fact that how information coming in Twitter can be recorded as well as visualized in real time so that it can be analyzed. One of the papers published from UMAP Workshops has described this process. This system was used to help government entities so that they can easily as well as more quickly can understand the trends of citizens’ behavior, and how they think about the services provided in the smart city. So, a real time semantic analysis for Twitter was done on Twitter to get information and opinions from citizens. It was found out that if process is adequately used with right set of methods, then it is easy for public authorities to know that which services are troubling the citizens, and how those services can be improved with regards to smart cities (Villena-Román, Luna-Cobos, & González-Cristóbal, 2014)

References of Literature Review of social media

Li, M., Ch’ng, E., Chong, A., & See, S. (2016). THE NEW EYE OF SMART CITY: NOVEL CITIZEN SENTIMENT ANALYSIS IN TWITTER. Fifth International Conference on Audio, Language, and Image Processing, ICALIP. Shanghai.

Nuaimi, A. A., Shamsi, A. A., Shamsi, A. A., & Badidi, E. (n.d.). SOCIAL MEDIA ANALYTICS FOR SENTIMENT ANALYSIS AND EVENT DETECTION IN SMART CITIES. 57–64.

Villena-Román, J., Luna-Cobos, A., & González-Cristóbal, J. C. (2014). TweetAlert: Semantic analytics in social networks for citizen opinion mining in the city of the future. Retrieved June 4, 2019, from https://pdfs.semanticscholar.org/7497/dbd3456ea6f56bede9e2fc985d8cd07d2734.pdf?_ga=2.53200936.1803395566.1559681516-581764749.1556021955