Stayhome Hashtag: Sentiment Analysis on Twitter During the Covid-19 Pandemic

  • Ugur Gunduz Prof.Dr., Istanbul University Faculty of Communication, Department of Journalism, Turkey
Keywords: Stayhome Hashtag (#Stayhome), Coronavirus, Covid-19 Pandemic, Hashtag Analysis, Twitter

Abstract

With developing technology today, social media has entered every area of our lives. Many people come together and share in social media platforms without time and space restrictions. Social media has been in our lives so much lately. It is an undeniable fact that global outbreaks, which constitute an important part of our lives, are also affected by these networks and that they exist in these networks and share the users. The purpose of making this hashtag analysis is to reveal the difference in discourse and language while analyzing twitter data, while doing this, to evaluate the effects of a global epidemic crisis on language, message and crisis management with social media data. Sentiment analysis of tweets, on the other hand, objectives to take a look at the contents of these messages, to degree the feelings and feelings conveyed. This form of analysis is typically completed through amassing textual content data, then investigating the “sentiment” conveyed. Within the scope of our study, one hundred thousand twitter messages posted with the #stayhome hashtag between 23 May 2020 and 29 May 2020 were examined. The impact and reliability of social media in disaster management could be questioned by carrying out a content analysis based totally on the semantic analysis of the messages given on the Twitter posts with the phrases and frequencies used. Social media and Twitter content are increasingly more identified as treasured resources of public health signals concerning use in ailment surveillance and health disaster management.

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Published
2020-12-31
How to Cite
Gunduz, U. (2020). Stayhome Hashtag: Sentiment Analysis on Twitter During the Covid-19 Pandemic. European Scientific Journal, ESJ, 16(34), 62. https://doi.org/10.19044/esj.2020.v16n34p62
Section
ESJ Social Sciences