Automated Personality Prediction of Social Media Users: A Decade Review
Main Article Content
Abstract
We live in a world where social media has taken over almost every possible field and has blended into our daily lives. People like to express their interests, thoughts, and views on these social networking sites. This information reveals many psychological aspects of their behaviour that can be used to predict their personality. Personality prediction is a very comprehensive and varied field of study.Over the years, there has been an ample amount of research done in this field. In this paper, we have tried to review the work carried out for personality prediction of social media users in the past decade using the information extracted from their digital footprints. Further, we have also discussed different machine and deep algorithms, datasets, personality measures, and applications of automatic personality detection. To understand the area better, we have done a case study where we used Convolutional Neural Networks model with word embeddings to predict the personality of 50
bloggers using the data accumulated from their blog posts around various topics such as beauty, fashion, travel, food, etc.We concluded that personality of Bloggers in the real world observed in their online columns, validating the hypothesis that the nature of online interactions does not greatly differ from that of real-world interactions.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
