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Christine Morrison

dblp:243/3052 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 50% Medical and health informatics · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
computational linguistics
0.412019
Finding Your Voice: The Linguistic Development of Mental Health Counselors · ACL (1) 2019
Medical and health informatics › mental health
mental health counseling
0.412019
Finding Your Voice: The Linguistic Development of Mental Health Counselors · ACL (1) 2019

Methods — techniques the papers use, named apart from their topics

longitudinal analysis · 0.4linguistic feature tracking · 0.4
YearPublicationVenuePosition
2019 Finding Your Voice: The Linguistic Development of Mental Health Counselors
abstract
Mental health counseling is an enterprise with profound societal importance where conversations play a primary role.In order to acquire the conversational skills needed to face a challenging range of situations, mental health counselors must rely on training and on continued experience with actual clients.However, in the absence of large scale longitudinal studies, the nature and significance of this developmental process remain unclear.For example, prior literature suggests that experience might not translate into consequential changes in counselor behavior.This has led some to even argue that counseling is a profession without expertise.In this work, we develop a computational framework to quantify the extent to which individuals change their linguistic behavior with experience and to study the nature of this evolution.We use our framework to conduct a large longitudinal study of mental health counseling conversations, tracking over 3,400 counselors across their tenure.We reveal that overall, counselors do indeed change their conversational behavior to become more diverse across interactions, developing an individual voice that distinguishes them from other counselors.Furthermore, a finer-grained investigation shows that the rate and nature of this diversification vary across functionally different conversational components.
Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser, Cristian Danescu-Niculescu-Mizil
ACL (1)3