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Data visualization & COVID-19 : the influence of graph appearances on the emotion of the reader

Ensink, M. (2021) Data visualization & COVID-19 : the influence of graph appearances on the emotion of the reader.

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Abstract:This research focuses on the research question whether graph appearances can influence the emotion of the reader regarding the COVID-19 situation in the Netherlands. To find a sufficient answer to this question, several hypotheses are tested to find a relationship between the appearances and the emotions. The tested appearances are color, scale and type of number. The tested emotions are confusion, fear and helplessness. The hypotheses are tested by analyzing data from the survey. In this survey, 100 respondents indicated to what extent their emotions were influenced after seeing different graphs. Almost all means for the variables were higher than 3, meaning that in general an emotion increased. It was concluded that all discussed appearances have an influence on the emotions of the reader. Darker colors resulted in more fear. The use of cumulative numbers resulted in more helplessness among the reader. For the use of a logarithmic scale, no significant effect was found for all three emotions. Furthermore, a significant relationship was found between the use of relative numbers and confusion. This can be explained by the fact that this graph is a bit harder to understand than the graphs with other types of numbers.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:88 social and public administration
Programme:Management Society and Technology BSc (56654)
Link to this item:http://purl.utwente.nl/essays/87553
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