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Gaining insights from social media language: Methodologies and challenges
Margaret L Kern1, Gregory Park2, Johannes C Eichstaedt2
1Melbourne Graduate School of Education.
Psychological Methods
|August 10, 2016
Summary
Psychologists can now study people at scale using social media language data. This guide covers data access, analysis methods, and ethical considerations for social media research.
Area of Science:
- Psychology
- Computer Science
- Social Media Research
Background:
- Social media provides unprecedented opportunities for psychological research.
- Limited guidance exists for psychologists entering this field.
- Integrating computer science tools with psychological theories is valuable.
Purpose of the Study:
- To introduce psychologists to social media language research.
- To identify descriptive and predictive analyses using language data.
- To provide guidance on accessing, quantifying, and analyzing social media data.
Main Methods:
- Utilizing natural language processing (NLP) tools and techniques.
- Describing methods for accessing and quantifying raw social media language data.
- Illustrating analysis with a case study on Facebook personality expression.
Main Results:
- Social media language data enable large-scale psychological studies.
- Descriptive and predictive analyses are feasible with this data.
- The study explores personality expression on Facebook.
Conclusions:
- Social media is a valuable resource for social life research.
- Combining computer science and psychology offers significant insights.
- Researchers must consider data access, processing, interpretation, and ethics.
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