Content marketing through data mining on Facebook social network
Journal Title: Webology - Year 2014, Vol 11, Issue 1
Abstract
As the Internet has found its place within different sectors of society, the use of various social networks is increasing and that is why they are utilized for business purposes. Most commercial companies need to do marketing in social networks in order to introduce their goods and/or services. In marketing, appropriate and accurate advertisement of goods based on needs of users of these social networks is required to sell the goods of different companies and manufacturing units in effective ways. In most cases, however, advertising and marketing methods in social networks are not correct and the resulted advertisements are boring and tiring to users and they might ignore them without noticing. Such advertisements will be considered as spam and will be annoying to network users. This is taken into consideration in the present study where users' interests, attitudes, and behavior on Facebook are specified through data mining techniques, based on which content marketing is conducted. The present study is conducted on the social network of Facebook, where content marketing, a new form of marketing, is utilized and instead of introducing the goods, the contents of different goods are presented. The data utilized in the study are actual and related to Facebook users, and therefore, the results can be generalized to other networks.
Authors and Affiliations
Saman Forouzandeh, Heirsh Soltanpanah and Amir Sheikhahmadi
Keywords
Related Articles
- EP ID EP687731
- DOI -
- Views 234
- Downloads 0
The human side of reference and information services in academic libraries: Adding value in the digital world
The application of digital technologies in libraries has mainly led to disintermediation which means, no mediation, serve yourself to information.
Linked Data and User Interaction: The Road Ahead
The book is an instructive and informative collection of case studies in seven chapters, focusing on “Linked Data” in the context of libraries and other cultural heritage institutions. It is the result of satellite mee...
A Personalized Word of Mouth Recommender Model
Word of mouth (WOM) has a powerful effect on consumer behavior. Manually collecting WOM is very time-consuming in the era of the Internet. An automatic WOM recommender model is useful for both marketers and consumers. Th...
Feeling alone among friends: Adolescence, social networks and loneliness
Adolescents are particularly susceptible to feelings of loneliness and social relationships are therefore an important part of their development. The aim of the present study is to explore the patterns of adolescents' us...
Patent Citations to Webology Journal on the USPTO Database
Patents are an important link of science and technology in any field. The role and influence of patents on scientific research has become increasingly important in recent years. The purpose of the present research was...