کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350413 618443 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Does offline political segregation affect the filter bubble? An empirical analysis of information diversity for Dutch and Turkish Twitter users
ترجمه فارسی عنوان
آیا تبعیض سیاسی آنلاین حباب فیلتر را تحت تاثیر قرار میدهد ؟ تجزیه و تحلیل تجربی از تنوع اطلاعات برای کاربران توییتر هلندی و ترکی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We show different dimensions of the value information diversity.
• We present old and new metrics to operationalize this value for different dimensions.
• We show that “information bubbles” can be observed depending on the used metric.
• The political culture can determine the occurrence of “bubbles”.

From a liberal perspective, pluralism and viewpoint diversity are seen as a necessary condition for a well-functioning democracy. Recently, there have been claims that viewpoint diversity is diminishing in online social networks, putting users in a “bubble”, where they receive political information which they agree with. The contributions from our investigations are fivefold: (1) we introduce different dimensions of the highly complex value viewpoint diversity using political theory; (2) we provide an overview of the metrics used in the literature of viewpoint diversity analysis; (3) we operationalize new metrics using the theory and provide a framework to analyze viewpoint diversity in Twitter for different political cultures; (4) we share our results for a case study on minorities we performed for Turkish and Dutch Twitter users; (5) we show that minorities cannot reach a large percentage of Turkish Twitter users. With the last of these contributions, using theory from communication scholars and philosophers, we show how minority access is missing from the typical dimensions of viewpoint diversity studied by computer scientists and the impact it has on viewpoint diversity analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 41, December 2014, Pages 405–415
نویسندگان
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