2. Related Work (Jens; work in progress)
The vast volume of information presented by current communication technologies offer several compelling utilizations. There exists multiple methods to analyse the data from social media sites, with the possibility to look into user generated content as well as user participation. User generated content ranging from videos, music and pictures to texts and messages that can be targeted to an audience or a private person. Single content often proves to have little information and it can be difficult to sort out banalities, but given the amount of content the average active social media user generates [citation needed?] these can be used to gather further metadata. Although audio and video data present …show more content…
In this study a large group of volunteers (86,220) filled out a questionnaire along with sharing their social media data (Facebook Likes). The study then compares personality judgements made by humans with computer-based judgements, solely derived from these “Likes”. As a result the “computer models need 10, 70, 150, and 300 Likes, respectively, to outperform an average work colleague, cohabitant or friend, family member, and spouse” [direktes Zitat s.o.] in predicting human behaviour. This work proves positively that profile classification based on social media analysis can provide very accurate …show more content…
In most fields knowledge isn't focused/concentrated in a few specific single nodes, where it could be easily extracted and reused by the members of the system . In most cases it is distributed all over the system in form of unstructered data and information fragments. What
Knowledge management does is to gather data and refine it step by step so in the end users have access to knowledge from which they can get the most benefits decisionwise.
(Bild Bodendorf Kapitel 1 / Wissenpyramide Abb. 1.1. Begriffshierarchie)
With todays available technologies in mind in combination with the vast amount of data social networks like facebook, twitter etc are creating on a daily
The vast volume of information presented by current communication technologies offer several compelling utilizations. There exists multiple methods to analyse the data from social media sites, with the possibility to look into user generated content as well as user participation. User generated content ranging from videos, music and pictures to texts and messages that can be targeted to an audience or a private person. Single content often proves to have little information and it can be difficult to sort out banalities, but given the amount of content the average active social media user generates [citation needed?] these can be used to gather further metadata. Although audio and video data present …show more content…
In this study a large group of volunteers (86,220) filled out a questionnaire along with sharing their social media data (Facebook Likes). The study then compares personality judgements made by humans with computer-based judgements, solely derived from these “Likes”. As a result the “computer models need 10, 70, 150, and 300 Likes, respectively, to outperform an average work colleague, cohabitant or friend, family member, and spouse” [direktes Zitat s.o.] in predicting human behaviour. This work proves positively that profile classification based on social media analysis can provide very accurate …show more content…
In most fields knowledge isn't focused/concentrated in a few specific single nodes, where it could be easily extracted and reused by the members of the system . In most cases it is distributed all over the system in form of unstructered data and information fragments. What
Knowledge management does is to gather data and refine it step by step so in the end users have access to knowledge from which they can get the most benefits decisionwise.
(Bild Bodendorf Kapitel 1 / Wissenpyramide Abb. 1.1. Begriffshierarchie)
With todays available technologies in mind in combination with the vast amount of data social networks like facebook, twitter etc are creating on a daily