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The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
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Social Profiling: A Review, Taxonomy, and Challenges.

Muhammad Bilal1,2, Abdullah Gani3, Muhammad Ikram Ullah Lali4

  • 11 School of Computing and IT, Taylor's University, Subang Jaya, Malaysia.

Cyberpsychology, Behavior and Social Networking
|May 11, 2019
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Summary

Social media data enables user social profiling for personalized search. This review highlights methods, challenges, and future research directions in inferring user attributes from online platforms.

Keywords:
personalizationsocial computingsocial media datasocial network analysissocial profilinguser profiling

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Area of Science:

  • Computer Science
  • Information Science
  • Social Science

Background:

  • Social media generates vast user-generated data, making information retrieval challenging.
  • User profiling from social media is crucial for personalized search and user satisfaction.
  • Explosive online data growth necessitates advanced techniques for effective information extraction.

Purpose of the Study:

  • To review and classify research on inferring user social profile attributes from social media data.
  • To highlight existing techniques, data sources, limitations, and challenges in social profiling.
  • To provide insights into the current literature and future research directions for user attribute inference.

Main Methods:

  • Classification of research into individual and group profiling.
  • Analysis of prominent approaches including Machine Learning, Ontology, and Fuzzy Logic.
  • Review of studies utilizing social media data, primarily from Twitter and Facebook.

Main Results:

  • Social profiling techniques are categorized, with Machine Learning, Ontology, and Fuzzy Logic being prominent.
  • Twitter and Facebook are the most common data sources for inferring social attributes.
  • Numerous user social attributes (e.g., age, gender, location, emotion) require further exploration.

Conclusions:

  • Social profiling is a key approach to address information overload and enhance personalized search.
  • Further research is needed to explore a wider range of user social attributes and refine inference techniques.
  • Understanding user social attributes from social media data remains an active and evolving research area.