Analysis and Reflection on Individual Behavior Prediction Model

Abstract

This study analyzes the behavior prediction method of Cambridge Analytica in the case of “facebook leakgate” and combs the current behavioral prediction methods based on network self-presented and its psychology principle. It discusses the possibility of combing the personality and demographic element to remodel the users’ psychology and decision making while analyzing whether behavioral predictions could affect users and their decision, analyzing the application and social impact of behavioral prediction in business and politics. The intrusion of online behavior, the intrusion of personal privacy, the interference of individual decisions and the credit crisis has had a serious impact on society’s development. Therefore, on the one hand, we should reflect on the relevant rules of current data application and the privacy protection, and enhance the transparency of data management. On the other hand, it is possible to attempt to automatically identify the accuracy of the false information by studying the psychology of the source of false information.

Presenters

Hui Guo

Details

Presentation Type

Focused Discussion

Theme

2018 Special Focus: Alt-Media - The Shifting Tide of Political Communication

KEYWORDS

Self-presentation; behavioral prediction;

Digital Media

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