Analyzing censorship behavior in facebook pages
Call Number: AIT Thesis no.CS-14-01 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. CS-14-01Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2014Description: 46 p. : illSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 2014 Summary: The social network become one part of people daily life recently according to the increasingnumber of active social network's user. Facebook is the most popular social network recently andFacebook have a major role in the internet that establish the new way of communication throughsocial connection and people reflect behavior themselves as well on social network. SinceFacebook have the feature about organizing Pages or Facebook Pages, many organization, publicfigure, product or publisher consider Facebook as the new opportunity to publicize andcommunicate through fans, customer or people. Obviously, what we can figure out in the realworld is about censorship behavior to preserve the privacy. Facebook is the another kind ofpublic media that people come to connect and share what they would like to express and not.With the great number of Facebook Pages and active user, this is the great opportunity to studythe censorship behavior in organization and could provide us the exploration about the sociology,psychology or any related topics to this study. Hence, this study confine the censorship behaviordetection in Facebook Pages for Facebook Post and Comment. Furthermore, we can capturehow useful of the result in censorship behavior analysis to be expand in various study andapplication.
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20-AIT Publication
|
Asian Institute of Technology Library AIT Publications | AIT Thesis no.CS-14-01 (Browse shelf(Opens below)) | 1 | Available | 30050120389373 | |||||||||||||
20-AIT Publication
|
Asian Institute of Technology Library AIT Publications | AIT Thesis no.CS-14-01 (Browse shelf(Opens below)) | 2 | Available | 30050120389365 | |||||||||||||
40-Archives
|
Asian Institute of Technology Library Archives | AIT Thesis no.CS-14-01 (Browse shelf(Opens below)) | 1 | Available | 30050120402440 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science (Software Engineering), School of Engineering and Technology
Thesis (M.Eng.) - Asian Institute of Technology, 2014
The social network become one part of people daily life recently according to the increasingnumber of active social network's user. Facebook is the most popular social network recently andFacebook have a major role in the internet that establish the new way of communication throughsocial connection and people reflect behavior themselves as well on social network. SinceFacebook have the feature about organizing Pages or Facebook Pages, many organization, publicfigure, product or publisher consider Facebook as the new opportunity to publicize andcommunicate through fans, customer or people. Obviously, what we can figure out in the realworld is about censorship behavior to preserve the privacy. Facebook is the another kind ofpublic media that people come to connect and share what they would like to express and not.With the great number of Facebook Pages and active user, this is the great opportunity to studythe censorship behavior in organization and could provide us the exploration about the sociology,psychology or any related topics to this study. Hence, this study confine the censorship behaviordetection in Facebook Pages for Facebook Post and Comment. Furthermore, we can capturehow useful of the result in censorship behavior analysis to be expand in various study andapplication.
There are no comments on this title.

AI Search