Exploring the linguistic signature of interpersonal liking in second language interaction

People worry about how they are seen by others, but their insights (called metaperceptions) are often too negative. For instance, many speakers believe that their interlocutors like them less than they actually do, and these overly negative metaperceptions inform speakers' actions such as asking for advice or pursuing friendships. Our goal was to understand if low, underconfident metaperceptions are associated with specific interactional behaviors for second language (L2) speakers, as a way of identifying a “linguistic signature” of insecure metaperceivers. We analyzed 10-min dyadic conversations by 37 L2-speaking university students discussing academic texts. Following the conversation, students provided their metaperceptions (how much they thought their partner liked them) and their actual assessments (how much they liked each other). We coded the conversations for eight measures of utterance fluency (repetitions, repairs, filled pauses, discourse markers) and speaker engagement (lexical content, mean length of turn, backchannels, overlapping speech). Whereas several measures predicted students' metaperceptions, none contributed to their actual assessments. Speakers who felt appreciated by their partner provided more lexical content across shorter conversational turns, whereas those who felt insecure assumed a dominant role speaking in long turns. These findings provide initial insights into how speakers’ metaperceptions manifest in their interactional behavior. • Speakers tend to underestimate their liking by conversation partners. • English L2 speakers' conversations were coded for fluency and engagement behaviors. • Speakers also provided perceived and actual ratings of each other's liking. • Speakers with higher perceived ratings provided more content across shorter turns. • No linguistic measure predicted speakers' actual liking by conversation partners.

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Publication Details

Journal
System
Published
2024-12-10
DOI
https://doi.org/10.1016/j.system.2024.103565
Primary Topic
Language, Metaphor, and Cognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the linguistic signature of interpersonal liking in second language interaction

Anamaria Bodea, Masatoshi Sato, Pavel Trofimovich, Kim McDonough
System
Language, Metaphor, and Cognition
article

Exploring the linguistic signature of interpersonal liking in second language interaction

Anamaria Bodea, Masatoshi Sato, Pavel Trofimovich, Kim McDonough
article en

Abstract

People worry about how they are seen by others, but their insights (called metaperceptions) are often too negative. For instance, many speakers believe that their interlocutors like them less than they actually do, and these overly negative metaperceptions inform speakers' actions such as asking for advice or pursuing friendships. Our goal was to understand if low, underconfident metaperceptions are associated with specific interactional behaviors for second language (L2) speakers, as a way of identifying a “linguistic signature” of insecure metaperceivers. We analyzed 10-min dyadic conversations by 37 L2-speaking university students discussing academic texts. Following the conversation, students provided their metaperceptions (how much they thought their partner liked them) and their actual assessments (how much they liked each other). We coded the conversations for eight measures of utterance fluency (repetitions, repairs, filled pauses, discourse markers) and speaker engagement (lexical content, mean length of turn, backchannels, overlapping speech). Whereas several measures predicted students' metaperceptions, none contributed to their actual assessments. Speakers who felt appreciated by their partner provided more lexical content across shorter conversational turns, whereas those who felt insecure assumed a dominant role speaking in long turns. These findings provide initial insights into how speakers’ metaperceptions manifest in their interactional behavior. • Speakers tend to underestimate their liking by conversation partners. • English L2 speakers' conversations were coded for fluency and engagement behaviors. • Speakers also provided perceived and actual ratings of each other's liking. • Speakers with higher perceived ratings provided more content across shorter turns. • No linguistic measure predicted speakers' actual liking by conversation partners.

SystemVol. 129
Universidad Andrés Bello (CL), Concordia University (CA)
Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 72%
Language, Metaphor, and Cognition
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