Difference between revisions of "Zhang2023a"

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|Title=Managing neutrality, rapport, and antiracism in qualitative interviews
 
|Title=Managing neutrality, rapport, and antiracism in qualitative interviews
 
|Tag(s)=EMCA; Qualitative interviewing; Conversation analysis; Membership categorization; Antiracism; Race talk; Neutrality; Rapport; Research practices; Interaction
 
|Tag(s)=EMCA; Qualitative interviewing; Conversation analysis; Membership categorization; Antiracism; Race talk; Neutrality; Rapport; Research practices; Interaction
|Key=Zhang2022a
+
|Key=Zhang2023
 
|Year=2023
 
|Year=2023
 
|Language=English
 
|Language=English

Revision as of 06:58, 14 December 2023

Zhang2023a
BibType ARTICLE
Key Zhang2023
Author(s) Tianhao Zhang, Ryo Okazawa
Title Managing neutrality, rapport, and antiracism in qualitative interviews
Editor(s)
Tag(s) EMCA, Qualitative interviewing, Conversation analysis, Membership categorization, Antiracism, Race talk, Neutrality, Rapport, Research practices, Interaction
Publisher
Year 2023
Language English
City
Month
Journal Qualitative Research
Volume 23
Number 6
Pages 1689-1713
URL Link
DOI 10.1177/14687941221110183
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

This study examines interviewers’ practices in managing conflicting institutional expectations of neutrality and rapport in interview interaction which are complicated by the normative expectation of antiracism. By applying conversation analysis and membership categorization analysis to sequences of interaction after interviewees’ possibly racist talk, we demonstrate that the interviewer deploys various interactional resources to orient to antiracism, while maintaining a neutralistic stance and sustaining rapport with interviewees. The interviewer’s orientation towards antiracism becomes more explicit as the interactions unfold. We argue that these practices are both constrained and enabled by the unique institutional features of qualitative interviews. Implications for research on race using interview data are also discussed.

Notes