A preliminary analysis on student postings on Facebook and blogs in an internship course in information management

Cheong, Christy W.L.; Hu, Xiao; Chu, Samuel K.W.; Ng, Nicole

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https://hdl.handle.net/2142/96764 Copy

Description

Title

A preliminary analysis on student postings on Facebook and blogs in an internship course in information management

Author(s)

• Cheong, Christy W.L.
• Hu, Xiao
• Chu, Samuel K.W.
• Ng, Nicole

Issue Date

2017

Keyword(s)

• Automated classification
• Facebook
• Blog
• Knowledge management
• Socio-emotional support

Abstract

This study analyzes student postings on Facebook and blogs in the same internship course across six years in an Information Management program. A two-level coding scheme on knowledge management and socio-emotional support was adapted to encode the postings. Association rule mining was applied to discover relationships between code categories; automated classification models were built and evaluated in various compositions of the categories. Preliminary findings disclosed that students posted messages of emotional expressions and social support, as well as those showing knowledge capturing and knowledge sharing processes. Preliminary results of classification experiments demonstrate the feasibility of automated analysis. It is also found that postings in the two platforms, Facebook and blogs, are mostly indistinguishable except for those in the social support categories.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96764

Copyright and License Information

Copyright 2017 Christy W.L. Cheong, Xiao Hu, Samuel K.W. Chu, and Nicole Ng

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