Framing the online women's movements in the Arab world

Al-Rawi, Ahmed K.

doi:10.1080/1369118x.2014.889190

Cited by 52 publications

(11 citation statements)

References 29 publications

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“…The collected posts were analyzed using QDA Miner 4 – Wordstat program. This study content analyzes the text corpus by identifying the most recurrent words used in the posts ( Al-Rawi, 2014 , 2015 ). Stephen (2000) studies concept analysis by ‘identifying key concepts and clusters of concepts’ in which he examines ‘the analysis of the distribution and interconnection of pivotal ideas appearing in a textual database’ (p. 197).…”

Section: Methodsmentioning

confidence: 99%

News values on social media: News organizations’ Facebook use

Al-Rawi

2016

Journalism

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This study examines the news selection practices followed by news organizations through investigating the news posted on social networking sites and, in particular, the Facebook pages of four foreign Arabic language TV stations: The Iranian Al-Alam TV, Russia Today, Deutsche Welle, and BBC. A total of 15,589 news stories are analyzed in order to examine the prominence of references to countries and political actors. The study reveals that social significance and proximity as well as the news organizations’ ideological agenda are the most important elements that dictate the news selection process.

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Section: Methodsmentioning

confidence: 99%

News values on social media: News organizations’ Facebook use

Al-Rawi

2016

Journalism

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“…The rationale behind choosing these specific TV programs is that they are regarded as among the most popular shows since they target audiences of various Arab countries, and the contestants are mostly Arabs. We used different webometric tools such as N-Capture (Al-Rawi, 2014 and Netvizz (Rieder, 2013) as well as a social network visualization software called Gephi (Bastian, Heymann, & Jacomy, 2009). Our data have exceeded 839,000 social media comments that gave us the appropriate raw materials to conduct our research on the online Arab sphere.…”

Section: Methodsmentioning

confidence: 99%

“…The empirical study of social media by Arab publics has been largely limited to the Arab Spring events, news organizations, and terrorism-related issues (Al-Rawi, 2014;Al-Rawi, 2015;Douai & Moussa, 2016); hence, the empirical study of online Arab identity remains under-researched and requires more scholarly attention. This study provides new empirical insight into computer-mediated communication and the issue of Arab identity on social media.…”

Section: Introductionmentioning

confidence: 99%

Regional Television and Collective Ethnic Identity: Investigating the SNS Outlets of Arab TV Shows

Al-Rawi

2018

Social Media + Society

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This article investigates the issue of Arab collective identity manifested in the mediated type of communication taking places on social media. The study employs multiple methodologies to provide a better understanding of Arab audiences' online engagements with four MBC TV shows that are regarded as among the most popular throughout the MENA region as contestants from almost all Arab countries have the chance to participate in them. These shows use Arabic as a bond that unites Arab viewers from different national, religious, and racial backgrounds into distinct online communities. In total, the study offers an analysis of over 839,000 comments from four Facebook pages including Arab Idol, Arabs Got Talent, The Voice, and The Voice Kids. We argue that the notion of Arab identity is an imagined concept since the mediated communication on social media shows different identity affiliations especially toward the national one.

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“…This study analyzes the text corpus by identifying the most recurrent words and phrases as well as their associated terms that are used in the Facebook posts and comments (Xenos 2008;Park et al 2011;Al-Rawi 2014, Al-Rawi 2015a, b, 2017b. In some of his studies, Entman used QDA Miner and mentioned that it was useful due to its ''improved efficiency in carrying our more complex content analyses'' (Entman 2010, 334).…”

Section: Methodsmentioning

confidence: 99%