The research aims to critically appraise the quality and validity of information available on YouTube as a source of information for COVID-19 and examine the emotional consequences of COVID-19-related information shared via Twitter. 106 YouTube videos were identified using the COVID-19 associated particular keywords. Two independent observers reviewed the English-language videos as 'useful' or 'misleading'. The Word-Emotion Association (Lexicon) was employed to conduct an emotional analysis of the people regarding COVID-19 via Twitter. 28 videos were classified as 'misleading' while 78 videos were classified as 'useful'. Findings highlighted variations in viewer behaviour in response to different types of videos. YouTube provides a vast amount of information on COVID-19, and integrating particular characteristics could enhance the popularity of YouTube videos. The number of positive sentiment Tweets was approximately equal to the number of negative sentiment Tweets. YouTube has become a significant source of health information during the current crisis. Independent users are more likely to upload misleading videos. Emotional analysis using Twitter data may be utilised by authorities to comprehend the psychological well-being of individuals.