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E-raamat: Handbook of Language Analysis in Psychology

Edited by (University of Southern California, United States), Edited by ( Lancaster University, United States)
  • Formaat: 630 pages
  • Ilmumisaeg: 20-Nov-2021
  • Kirjastus: Guilford Press
  • Keel: eng
  • ISBN-13: 9781462548453
  • Formaat - PDF+DRM
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  • Formaat: 630 pages
  • Ilmumisaeg: 20-Nov-2021
  • Kirjastus: Guilford Press
  • Keel: eng
  • ISBN-13: 9781462548453

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This handbook contains 31 chapters by psychology and other scholars from the US, Australia, Canada, and Europe, who discuss the use of language analysis in psychology research. They explore methods used for text analysis in psychology, then language-based techniques and applications for investigating conversations, political psychology, morality, deception and lying, personality and individual differences, affect and sentiment, public health and well-being, and judgment and biases, as well as ethical issues and aspects like intergrouping and aging, text and discourse with humans and computers, and computer-based language analysis. Annotation ©2022 Ringgold, Inc., Portland, OR (protoview.com)

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.

Arvustused

"Language provides a richer, more detailed window into the human experience than any other source of data, and large-scale computational techniques have created unprecedented opportunities in the study of human psychology. This volume provides a comprehensive examination of language analysis methods and how they are being used across an astonishing range of psychological research. It will be highly valuable to students and scholars in psychology who are seeking a relevant, up-to-date overview of text analysis methods. Conversely, this book also represents an invitation to computational folks to better understand the nature of psychological research questions and the ways that their text analysis expertise can help advance understanding of what makes people tick."--Philip Resnik, PhD, Department of Linguistics and Institute for Advanced Computer Studies, University of Maryland, College Park

"The accelerating growth of new computational methods, theories, and applications in language analysis opens up exciting possibilities for researchers, but it can also be daunting if you are entering the field or trying to keep up to speed. But never fear! Dehghani and Boyd have brought together a formidable crew of experts to create an accessible guide to the latest developments in language analysis. This book is an ideal text for a graduate course, and can serve as a reference and source of inspiration for researchers."--Sanjay Srivastava, PhD, Department of Psychology, University of Oregon

"This handbook assembles many of the best researchers who quantitatively analyze language to better understand people. The coverage is impressively broad, from personality to politics, from conversations and deception to the language of affect and morality. The methods used are equally broad, from the use of classical lexica to modern vector embedding methods. This book is ideal for a graduate seminar in psychology or related fields on the ways in which language analysis is yielding insights into human thought, behavior, and communication."--Lyle Ungar, PhD, Department of Computer and Information Science, University of Pennsylvania-Highly recommended. Graduate students, faculty, and professionals.--Choice Reviews, 4/1/2023

PART I INTRODUCTION AND METHODS
1 Text Analysis for Psychology: Methods, Principles, and Practices
3(62)
Brendan Kennedy
Ashwini Ashokkumar
Ryan L. Boyd
Morteza Dehghani
PART II DYADIC SYNCHRONY/PSYCHOLOGICAL COORDINATION IN CONVERSATIONS
2 Language Coordination in Writing and Conversation
65(37)
Molly E. Ireland
Taleen Nalabandian
3 Language in Close Relationships
102(23)
Andrea B. Horn
Tabea Meier
4 Harnessing a Language Analysis Perspective to Uncover Emergent Group Processes
125(16)
Aimee A. Kane
Lyn M. van Swol
5 Cooperation, Interaction, Search: Computational Approaches to the Psychology of Asking and Answering Questions
141(18)
Christina M. Boyce-Jacino
Simon DeDeo
PART III POLITICAL PSYCHOLOGY
6 Language Analysis in Political Psychology
159(14)
Kayla N. Jordan
7 Automated Integrative Complexity: Language Analysis Tools for Psychological Research
173(16)
Shannon C. Houck
Lucian Gideon Conway
Alivia Zubrod
8 Text as Data in Political Psychology
189(18)
Martijn Schoonvelde
Christian Pipal
Gijs Schumacher
PART IV MORALITY
9 Language Analysis in Moral Psychology
207(22)
Mohammad Atari
Morteza Dehghani
10 Morality in Politics
229(16)
Sze Yuh Nina Wang
Yoel Inbar
11 Morality in Language
245(16)
Cristina Leone
Laura Niemi
PART V DECEPTION/LYING
12 Motivation for Deception
261(13)
Paul J. Taylor
Grace McKenzie
Ben Marshall
13 Lies and Language: A Context-Contingent Approach to Verbal Cues of Deceit
274(11)
David M. Markowitz
Jeffrey T. Hancock
14 Deception and Its Detection
285(18)
Judee K. Burgoon
Norah E. Dunbar
Lee A. Spitzley
PART VI PERSONALITY AND INDIVIDUAL DIFFERENCES
15 Investigating Individual Differences in Metaphor Use and Its Outcomes: Research Questions, Measurement, and Findings
303(14)
Adam K. Fetterman
Katherine French
Brian P. Meier
16 The Quantum Self: Examining Methodologies to Understand How Language Impacts Bilinguals' Dual Selves
317(18)
Shu Jiang
Nairan Ramirez-Esparza
17 Personality Disorder and Verbal Behavior
335(24)
Charlotte Entwistle
Ely Marceau
Ryan L. Boyd
PART VII AFFECT/SENTIMENT
18 Behavioral Machine Intelligence with Language
359(18)
Nikolaos Malandrakis
Victor R. Martinez
Anil K. Ramakrishna
Manoj Kumar
Karan Singla
Md Nasir
Shrikanth Narayanan
19 Theory-Driven Measurement of Emotion (Expressions) in Social Media Text
377(12)
William J. Brady
Killian McLoughlin
M. J. Crockett
20 Identifying and Understanding the Targets of Sentiment Analysis
389(24)
Charles Welch
Mahmoud Azab
Rada Mihalcea
PART VIII PUBLIC HEALTH AND WELL-BEING
21 The Language of Environmentalism: Harnessing Social Media Data in the Face of Environmental Uncertainty
413(16)
Sonya Sachdeva
22 The Language of Mindfulness: Studying Contemplative Experience through Natural Language
429(18)
Angelina J. Polsinelli
Deanna M. Kaplan
Matthias R. Mehl
PART IX JUDGMENT/BIASES
23 Knowledge, Cognition, and Everyday Judgment: An Introduction to the Distributed Semantics Approach
447(17)
Russell Richie
Sudeep Bhatia
24 Sociolinguistic Properties of Word Embeddings
464(14)
Alina Arseniev-Koehler
Jacob G. Foster
25 Social Biases in Word Embeddings and Their Relation to Human Cognition
478(16)
Aylin Caliskan
Molly Lewis
26 Word Embeddings Reveal Social Group Attitudes and Stereotypes in Large Language Corpora
494(17)
Tessa E. S. Charlesworth
Mahzarin R. Banaji
PART X ETHICAL GUIDELINES
27 Ethical Pitfalls for Natural Language Processing in Psychology
511(20)
Mark Alfano
Emily Sullivan
Amir Ebrahimi Fard
28 Ethical Issues in Text Mining for Mental Health
531(20)
Joshua August Skorburg
Phoebe Friesen
PART XI LOOKING TO THE HORIZON
29 Intergrouping and Aging Matters Textually
551(13)
Howard Giles
Joseph B. Walther
30 Text and Discourse with Humans and Computers
564(12)
Arthur C. Graesser
Leah C. Windsor
31 Computer-Based Language Analysis as a Paradigm Shift
576(13)
James W. Pennebaker
Author Index 589(24)
Subject Index 613
Morteza Dehghani, PhD, is Associate Professor of Psychology and Computer Science and a member of the faculty of the Brain and Creativity Institute at the University of Southern California. Dr. Dehghani's research relies on machine learning and natural language processing to explore cognitive and psychological traces in artifacts of social discourse. Specifically, he investigates properties of moral cognition by analyzing language in conjunction with behavioral studies. Dr. Dehghani is a recipient of a CAREER Award from the National Science Foundation and a 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, holding shared appointments in the Department of Psychology, Security Lancaster, and the Data Science Institute. His research interests broadly revolve around how our motives are revealed in language--that is, how our everyday words provide clues to why we think, feel, and behave in the ways that we do. Dr. Boyds research spans topics ranging from personality to society, mental health, human sexuality, and storytelling. He has authored dozens of free, open-source text analysis programs for social scientists, and he has been involved in the development of Linguistic Inquiry and Word Count since 2015. Dr. Boyd is on the editorial boards at PLOS ONE and Frontiers in Artificial Intelligence: Language and Computation, and is a member of the advisory board for Psychology of Language and Communication.