Abstract

Social Media Big Data: The Good, The Bad, and the Ugly (Un)truths.

Highlights

  • INTRODUCTIONSocial media has been a defining component of life in the 21st century, monetising peer-to-peer sharing of information

  • Social media has been a defining component of life in the 21st century, monetising peer-to-peer sharing of information. This has led to the formation of powerful platforms leveraging artificial intelligence (AI) to effectively commoditise individual attention, with the average person spending over 2 h a day on social media (Statista, 2020)

  • The reports described in the previous section have illustrated “infodemiology” techniques that leverage big data from social media for timely insights that could inform the development of critical public health responses

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Summary

INTRODUCTION

Social media has been a defining component of life in the 21st century, monetising peer-to-peer sharing of information. The extensive usage of social media naturally includes large amounts of information regarding users’ unadulterated feelings and thoughts documented in a publicly visible platform The collection of this information provides ‘naturally-occurring’ and publicly-visible big data, that can potentially be applied to improve Public Health responses during Natural disasters and emergencies such as Pandemics. Researchers from China demonstrated the use of big data from social media platform WeChat to identify trends in communication and searches for key words related to these topics Using these “infodemiology” techniques, which analyse online user generated content (UGC) to inform public health applications, researchers could correlate digital big data to the progression of the pandemic unfolding in real-time (Lu and Zhang, 2020). By harnessing this readily available online information, researches have further demonstrated “infodemiology” techniques for applications such as planning of pandemic responses, optimising the flow of resources, and identifying growing themes of misinformation and/or public concerns real-time to develop targeted public health strategies and communications (Wong et al, 2020)

Emerging Research in Social Media Big Data for Public Health Interventions
What Lies Ahead
CONCLUSION

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