Predicting Personality from Twitter

By Jennifer Golbeck, Cristina Robles, Michon Edmondson, Karen Turner. 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011

652 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/491e54f8f916fa544616bca3d34b6f8e37af0bcd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

In Sociology and Political Science

Citations in the corpus

Using machine learning to predict decisions of the European Court of Human Rights (2019, neutral): “We now have so-called ‘machine learning’ software which is able to identify gender (Basile et al. 2017), age (op Vollenbroek et al. 2016), personality traits (Golbeck et al. 2011), and even the identity of an author 6 almost flawlessly.”
You are what you tweet: Personality expression and perception on Twitter (2012, background): “…based on social media may require not only the linguistic markers but also other behavioral cues, such as the engagement in the media and interactions with other users (Golbeck, Robles, Edmondson, & Turner, 2011; Golbeck et al., 2011; Yee, Duchenaut, Nelson, & Likarish, 2011; Yee et al., 2011).”
The power of prediction with social media (2013, background): “In other words, one could exploit social media data as a kind of predictive market .”
Private traits and attributes are predictable from digital records of human behavior (2013, background): “Similarly, it has been shown that personality can be predicted based on the contents of personal Web sites (16), music collections (17), properties of Facebook or Twitter pro ﬁ les such as the number of friends or the density of friendship networks (18 – 21), or language used by their users (22).”
From "I Love You Babe" to "Leave Me Alone" - Romantic Relationship Breakups on Twitter (2014, background): “However, there has been a body of work on inferring personality traits from Twitter usage [32,17,37,11].”
Psychological targeting as an effective approach to digital mass persuasion (2017, background): “For example, people’s personality profiles have been predicted from personal websites (11), blogs (12), Twitter messages (13), Facebook profiles (10, 14–16), and Instagram pictures (17).”
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013, methodology): “conditions of other studies (for examples, see [25,27,65]), and its component traits are most loosely related [85].”
A Survey of Personality Computing (2014, neutral): “A similar approach was used by the same authors to predict the personality of Twitter users [63].”
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020, background): “The use of exclamation points may indicate personality traits (Golbeck et al., 2011), so punctuation could be retained while numbers and special characters are removed.”