Literature DB >> 27505683

Gaining insights from social media language: Methodologies and challenges.

Margaret L Kern1, Gregory Park2, Johannes C Eichstaedt2, H Andrew Schwartz3, Maarten Sap2, Laura K Smith2, Lyle H Ungar3.   

Abstract

Language data available through social media provide opportunities to study people at an unprecedented scale. However, little guidance is available to psychologists who want to enter this area of research. Drawing on tools and techniques developed in natural language processing, we first introduce psychologists to social media language research, identifying descriptive and predictive analyses that language data allow. Second, we describe how raw language data can be accessed and quantified for inclusion in subsequent analyses, exploring personality as expressed on Facebook to illustrate. Third, we highlight challenges and issues to be considered, including accessing and processing the data, interpreting effects, and ethical issues. Social media has become a valuable part of social life, and there is much we can learn by bringing together the tools of computer science with the theories and insights of psychology. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Mesh:

Year:  2016        PMID: 27505683     DOI: 10.1037/met0000091

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  31 in total

1.  Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Authors:  Gary E Weissman; Rebecca A Hubbard; Lyle H Ungar; Michael O Harhay; Casey S Greene; Blanca E Himes; Scott D Halpern
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

2.  A big data analysis of the relationship between future thinking and decision-making.

Authors:  Robert Thorstad; Phillip Wolff
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-05       Impact factor: 11.205

3.  Assortativity of suicide-related posting on social media.

Authors:  Ian Cero; Tracy K Witte
Journal:  Am Psychol       Date:  2019-06-13

4.  A methodology for preprocessing structured big data in the behavioral sciences.

Authors:  Paul A Brown; Ricardo A Anderson
Journal:  Behav Res Methods       Date:  2022-06-29

5.  Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review.

Authors:  Alexandra H Bettis; Taylor A Burke; Jacqueline Nesi; Richard T Liu
Journal:  Clin Psychol Sci       Date:  2021-06-03

6.  Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality.

Authors:  Adithya V Ganesan; Matthew Matero; Aravind Reddy Ravula; Huy Vu; H Andrew Schwartz
Journal:  Proc Conf       Date:  2021-06

7.  Considerations for the Ethical Implementation of Psychological Assessment Through Social Media via Machine Learning.

Authors:  Megan N Fleming
Journal:  Ethics Behav       Date:  2020-09-09

8.  Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them.

Authors:  Byron Reeves; Nilam Ram; Thomas N Robinson; James J Cummings; C Lee Giles; Jennifer Pan; Agnese Chiatti; M J Cho; Katie Roehrick; Xiao Yang; Anupriya Gagneja; Miriam Brinberg; Daniel Muise; Yingdan Lu; Mufan Luo; Andrew Fitzgerald; Leo Yeykelis
Journal:  Hum Comput Interact       Date:  2019-03-13       Impact factor: 4.750

9.  Text message content as a window into college student drinking: Development and initial validation of a dictionary of "alcohol talk".

Authors:  Michaeline Jensen; Andrea Hussong
Journal:  Int J Behav Dev       Date:  2019-11-26

10.  World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews.

Authors:  Youngseo Son; Sean A P Clouston; Roman Kotov; Johannes C Eichstaedt; Evelyn J Bromet; Benjamin J Luft; H Andrew Schwartz
Journal:  Psychol Med       Date:  2021-06-22       Impact factor: 7.723

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