Time Series Based Trend Analysis for Hate Speech in Twitter During COVID 19 Pandemic
H. M. M. Caldera, G. S. N. Meedin, Indika N. Perera · 2020
In Sri Lanka social media platforms were used as information propagation medium stupendously during COVID 19 outbreak period. The context of the post creates a high impact on the Social media engagement trends. This research primarily aims at how hate speech was propagated in twitter platform during the COVID 19 outbreak period. This paper describes the results of the study performed on how contents in the Sinhala language, and Sinhala language words written using English text were disseminated. Moreover, and the paper discusses the trend analysis techniques used in performing the trends analysis to identify the hate speech propagation trends over the period. It was observed that there was a rapid interaction with social media platforms during the first half of the posts identified, and in the latter part, the interactions were gradually decreased. Finally, this abstract paper discusses a trend line of hate speech posts identified on twitter data.