This research study explores the emotional landscape of the Coronavirus outbreak in twoonline news brands, British Broadcasting Corporation (BBC) and The Telegraph in theUnited Kingdom. By examining the content of articles according to the eight primaryemotions (fear, surprise, sadness, disgust, anger, joy/happy, trust, anticipation), of two online news brands, in order to understand to what extent did the BBC and The Telegraph online newspapers use the emotional words and which are the most dominant in their articles during the Coronavirus outbreak. The chosen research period was from 16th March to 6th April. It was selected due to the high amount of articles that were written at the early stage of the outbreak but also concerning the lockdown situation of the country after 23rd of March. A content analysis was conducted to answer the above research study. The 79 articles weregathered from both online media and a total number of 231 emotions corresponding to 34percent were used. The most dominant emotions, in The Telegraph, was up with 58 percentof ‘joy/happy’ emotions. Following the emotion ‘fear’ with 55 percent and next to theemotion of ‘sad’ with 50 percent. Similarly, in the BBC were, ‘joy/happy’, ‘fear’ and ‘anger’by 91 percent, 80 percent, and 41 percent representatively. As it can be summarised, bothmedia had two major emotions ‘joy/happy’ and ‘fear’. Two opposite feelings for the sametopic of Coronavirus.Last but not least, the thesis analyse and understand the use of the most dominant emotions from two news brands which are, ‘‘joy/happy’, ‘fear’ and ‘sad’. The existanstance of these words is to embrace emotional journalism, in a way to move beyond the individual level and bring the story closer to the reader in an emotional way. Keywords: Coronavirus, emotions, media, news, emotional journalism
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-21423 |
| Date | January 2020 |
| Creators | konstantinidou, Ioulia |
| Publisher | Malmö universitet, Fakulteten för kultur och samhälle (KS), Malmö universitet/Kultur och samhälle |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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