The Arab Image in Spanish Social Media

A Twitter Sentiment Analytics Approach

Bibliographic Data

ID21190080
AuthorsMohamed M Mostafa (0000-0002-1145-4919, Gulf University for Science & Technology, corresponding author), Nicolás Roser Nebot (0000-0002-4732-4366, Universidad de Málaga)
Year2020
Volume49
Issue2
Pages133-155
Publication date2020-03-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Intercultural Communication Research (JOURNAL)
Journal identifiersISSN: 1747-5759 • E-ISSN: 1747-5767
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17475759.2020.1725592
OpenAlexW3005442492
LanguageEN
Citations received5
References cited100

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

Cluster analysis · Data science · Descriptive statistics · Destination Image · Destinations · Lexicon · Medoid · Political science · Sentiment analysis · Social media · Tourism · World Wide Web · Computer Science · Digital Marketing and Social Media · Sentiment Analysis and Opinion Mining · Social Media and Politics · Artificial Intelligence