Current Search: Social Media -- Communication -- Journalism -- Middle East -- Framing theory -- Political movements -- Activists -- Saudi Women -- Women driving -- Saudi Arabia -- Political cognition -- Linguistic attributes -- language characteristics -- Cognitive language -- Emotional language -- Religious or moral language. Social media influence -- Retweeting -- Salience -- Twitter Discourse -- Sociopolitical Discourse. (x)
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Title
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Examining presence and influence of linguistic characteristics in the Twitter discourse surrounding the women's right to drive movement in Saudi Arabia.
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Creator
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Sahly, Abdulsamad, Kinnally, William, Neuberger, Lindsay, Miller, Ann, University of Central Florida
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Abstract / Description
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Social media platforms like Facebook and Twitter have been popular tools for social and political movements in non-democratic societies in which traditional media outlets are under government control. Activists in Saudi Arabia, particularly women, have launched several campaigns through social media to demand the right to drive for women. This study used framing theory as the foundation for looking at the degree to which cognitive, emotion, and religious or moral language has been used to...
Show moreSocial media platforms like Facebook and Twitter have been popular tools for social and political movements in non-democratic societies in which traditional media outlets are under government control. Activists in Saudi Arabia, particularly women, have launched several campaigns through social media to demand the right to drive for women. This study used framing theory as the foundation for looking at the degree to which cognitive, emotion, and religious or moral language has been used to frame discussion of this issue on Twitter. Additionally, this study observed the relationship between these linguistic attributes in Twitter and retweeting behavior to understand the characteristics of the discourse that relate to the potential influence of the message. The results suggested that, within the sociopolitical discussion in social media, cognitive language was expressed the most often, particularly insight and causation language. The results also suggested that tweets containing cognitive language are more likely to be retweeted than those with emotion language. However, among the components of cognitive and emotion language, anger was the strongest specific predictor of retweeting behavior. The implications of the presence of linguistic attributes and their relationship to retweeting behavior and suggestions for future communication research within the context of social and political movements are discussed.
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Date Issued
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2016
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Identifier
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CFE0006386, ucf:51535
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Format
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Document (PDF)
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PURL
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http://purl.flvc.org/ucf/fd/CFE0006386
