Haitham Y. Adarbah; Ali Al Badi; Jawad Golzar
Abstract
Emerging data sources are gaining popularity because of their accessibility, pervasiveness, and enormous potential. Blogs, images, Twitter, Foursquare (location sharing), and Flickr (photography) are significant sources of information regarding human activities. There are several elements that influence ...
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Emerging data sources are gaining popularity because of their accessibility, pervasiveness, and enormous potential. Blogs, images, Twitter, Foursquare (location sharing), and Flickr (photography) are significant sources of information regarding human activities. There are several elements that influence decision making behavior at the individual, group, and organizational levels, including information technology and decision support systems. Recent advancements in user interfaces for social tools, in conjunction with an increase in the usage of mobile wireless computers, have resulted in the creation of social networks that are instantaneous, widely distributed, mostly unmanaged, and pervasive. The proliferation of information and communication technologies continues to open new doors. In the age of big data and new data sources, the challenge for modern businesses is to align their decision making and organizational processes with data that could help them make more informed decisions. The study also proposed a culturally responsive framework that entails emotioncy and cultuling analysis to support institutions in the process of decision making when using emerging data sources.
Lisa Hilte; Reinhild Vandekerckhove; Walter Daelemans
Volume 6, Issue 2 , September 2018, , Pages 73-89
Abstract
In a large social media corpus (2.9 million tokens), we analyze Flemish adolescents’ non-standard writing practices and look for correlations with the teenagers’ social class. Three different aspects of adolescents’ social background are included: educational track, parental profession, ...
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In a large social media corpus (2.9 million tokens), we analyze Flemish adolescents’ non-standard writing practices and look for correlations with the teenagers’ social class. Three different aspects of adolescents’ social background are included: educational track, parental profession, and home language. Since the data reveal that these parameters are highly correlated, we combine them into one social class label. The different linguistic practices emerging from the analyses demonstrate the crucial impact of social class on adolescent online writing practices. Furthermore, our results nuance classical findings on working class adherence to ‘old vernacular’ by also highlighting working class youth’s strong connection to the online writing culture, or ‘new vernacular’. Finally, we point out the complexity of the social class variable by demonstrating interactions with gender and age, and by examining groups of teenagers whose social background is ambiguous and therefore hard to operationalize.