Handbook of Language Analysis in Psychology

Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.
 

Morteza Dehghani, PhD, is Associate Professor of Psychology and Computer Science at the University of Southern California, and is on the faculty of the Brain and Creativity Institute. Dr. Dehghani's research relies on machine learning and natural language processing to explore cognitive and psychological traces in artifacts of social discourse. Specifically, his work investigates properties of moral cognition by analyzing language, in conjunction with behavioral studies. Dr. Dehghani is a recipient of the CAREER Award from the National Science Foundation and the Young Investigator Award from the Air Force Office of Scientific Research.

Ryan L. Boyd, PhD, is Assistant Professor of Behavioral Analytics at Lancaster University in the United Kingdom, where he is a member of the Data Science Institute and of Security Lancaster. His research interests broadly revolve around how motives are revealed in language--that is, how people's everyday words provide clues to how they think, feel, and behave. Dr. Boyd’s research spans topics ranging from personality to society, mental health, human sexuality, and storytelling. Dr. Boyd has authored dozens of free, open-source text analysis programs for social scientists and is an editor at PLOS One and Frontiers in Artificial Intelligence: Language and Computation.
 

I. Introduction and Methods
1. Text Analysis for Psychology: Methods, Principles, and Practices, Brendan Kennedy, Ashwini Ashokkumar, Ryan L. Boyd, & Morteza Dehghani
II. Dyadic Synchrony/Psychological Coordination in Conversations
2. Language Coordination in Writing and Conversation, Molly E. Ireland & Taleen Nalabandian
3. Language in Close Relationships, Andrea B. Horn & Tabea Meier
4. Harnessing a Language Analysis Perspective to Uncover Emergent Group Processes, Aimée A. Kane & Lyn M. van Swol
5. Cooperation, Interaction, Search: Computational Approaches to the Psychology of Asking and Answering Questions, Christina M. Boyce-Jacino & Simon DeDeo
III. Political Psychology
6. Language Analysis in Political Psychology, Kayla N. Jordan
7. Automated Integrative Complexity: Language Analysis Tools for Psychological Research, Shannon C. Houck, Lucian Gideon Conway, III, & Alivia Zubrod
8. Text as Data in Political Psychology, Martijn Schoonvelde, Christian Pipal, & Gijs Schumacher
IV. Morality
9. Language Analysis in Moral Psychology, Mohammad Atari & Morteza Dehghani
10. Morality in Politics, Sze Yuh Nina Wang & Yoel Inbar
11. Morality in Language, Cristina Leone & Laura Niemi
V. Deception/Lying
12. Motivation for Deception, Paul J. Taylor, Grace McKenzie, & Ben Marshall
13. Lies and Language: A Context-Contingent Approach to Verbal Cues of Deceit, David M. Markowitz & Jeffrey T. Hancock
14. Deception and Its Detection, Judee K. Burgoon, Norah E. Dunbar, & Lee A. Spitzley
VI. Personality and Individual Differences
15. Investigating Individual Differences in Metaphor Use and Its Outcomes: Research Questions, Measurement, and Findings, Adam K. Fetterman, Katherine French, & Brian P. Meier
16. The Quantum Self: Examining Methodologies to Understand How Language Impacts Bilinguals’ Dual Selves, Shu Jiang & Nairán Ramírez-Esparza
17. Personality Disorder and Verbal Behavior, Charlotte Entwistle, Ely Marceau, & Ryan L. Boyd
VII. Affect/Sentiment
18. Behavioral Machine Intelligence with Language, Nikolaos Malandrakis, Victor Martinez, Anil Ramakrishna, Manoj Kumar, Karan Singla, Md Nasir, & Shrikanth Narayanan
19. Theory-Driven Measurement of Emotion (Expressions) in Social Media Text, William J. Brady, Killian McLoughlin, & M. J. Crockett
20. Identifying and Understanding the Targets of Sentiment Analysis, Charles Welch, Mahmoud Azab, & Rada Mihalcea
VIII. Public Health and Well-Being
21. The Language of Environmentalism: Harnessing Social Media Data in the Face of Environmental Uncertainty, Sonya Sachdeva
22. The Language of Mindfulness: Studying Contemplative Experience through Natural Language, Angelina J. Polsinelli, Deanna M. Kaplan, & Matthias R. Mehl
IX. Judgment/Biases
23. Knowledge, Cognition, and Everyday Judgment: An Introduction to the Distributed Semantics Approach, Russell Richie & Sudeep Bhatia
24. Sociolinguistic Properties of Word Embeddings, Alina Arseniev-Koehler & Jacob G. Foster
25. Social Biases in Word Embeddings and Their Relation to Human Cognition, Aylin Caliskan & Molly Lewis
26. Word Embeddings Reveal Social Group Attitudes and Stereotypes in Large Language Corpora, Tessa E. S. Charlesworth & Mahzarin R. Banaji
X. Ethical Guidelines
27. Ethical Pitfalls for Natural Language Processing in Psychology, Mark Alfano, Emily Sullivan, & Amir Ebrahimi Fard
28. Ethical Issues in Text Mining for Mental Health, Joshua August Skorburg & Phoebe Friesen
XI. Looking to the Horizon
29. Intergrouping and Aging Matters Textually, Howard Giles & Joseph B. Walther
30. Text and Discourse with Humans and Computers, Arthur C. Graesser & Leah C. Windsor
31. Computer-Based Language Analysis as a Paradigm Shift, James W. Pennebaker
Author Index
Subject Index