کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6842100 1435707 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics
ترجمه فارسی عنوان
تجزیه و تحلیل از پست های فیس بوک کتابخانه های دانشگاهی: تجزیه و تحلیل متن و داده ها
کلمات کلیدی
فیس بوک، شبکه اجتماعی، استخراج متن، داده کاوی، تجزیه و تحلیل محتوا، کتابخانه های دانشگاهی،
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی آموزش
چکیده انگلیسی
This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of Academic Librarianship - Volume 44, Issue 2, March 2018, Pages 216-225
نویسندگان
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