Autor: |
Mostafa, Mohamed M., Nebot, Nicolás Roser |
Předmět: |
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Zdroj: |
Journal of Intercultural Communication Research; Apr2020, Vol. 49 Issue 2, p133-155, 23p, 2 Diagrams, 5 Graphs |
Abstrakt: |
Intercultural relations scholars have recently focused on investigating the impact of the news coverage and the media on society in general. However, although social media have become a valuable resource for mining opinions, there are no previous studies investigating the Arab image sentiments expressed on social media. This study fills this gap through the analysis of a random sample of 26,905 tweets dealing with the Arab image in Spanish tweets. To conduct the analysis, an expert-predefined lexicon of around 6,800 seed adjectives was used. Descriptive analysis detected a generally positive sentiment towards the Arab image while partitioning around medoids (PAM) clustering suggested that it is possible to cluster the tweets into four distinct clusters. Thus, it seems that the Arab image represents a complex construction. By analysing opinions expressed on social media towards the Arab image, this research adds breadth and depth to the debate over such an under-represented area. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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