TURN-TAKING STRATEGIES IN THE SECOND AMERICA’S PRESIDENTIAL DEBATE 2020: DISCOURSE ANALYSIS

Turn-taking is a way that can be referred to as the change of position when the speaker becomes the listener and vice versa in the conversation. This research aims to identify the turn-taking strategies utilized by the debate participants in the second America’s presidential debate 2020. The researchers adhered to the theory of Stenström regarding turn-taking strategies. The research design was qualitative. The observational method and note-taking technique were employed to collect the research data. The analytical technique of discourse analysis and coding were performed to analyze the data. The results of this research were displayed descriptively in the form of words to sentences. The turn-taking strategies were taking the turn, holding the turn, and yielding the turn. The results revealed that the taking the turn strategy was frequently utilized by all of the participants in the debate. The interrupting strategy was commonly used by Donald Trump. Joe Biden with starting up strategy. Kristen Welker tended to perform a prompting strategy. Moreover, the silent pauses as the sub-strategy of holding the turn, appealing, and giving up as part of yielding the turn strategy were not found in the data source. The participants tended to avoid silent pauses and tried to take the floor to speak in order to show their dominance. The nature of the turn-taking system is in line with the existence of power between participants’ relationships.

Authors

Institutions

Publication Details

Journal
IdeBahasa
Published
2025-06-20
DOI
https://doi.org/10.37296/idebahasa.v7i1.292
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TURN-TAKING STRATEGIES IN THE SECOND AMERICA’S PRESIDENTIAL DEBATE 2020: DISCOURSE ANALYSIS

Ambalegin Ambalegin, Nadha Jelang Ramdhany
IdeBahasa
Discourse Analysis in Language Studies
article

TURN-TAKING STRATEGIES IN THE SECOND AMERICA’S PRESIDENTIAL DEBATE 2020: DISCOURSE ANALYSIS

Ambalegin Ambalegin, Nadha Jelang Ramdhany
article en

Abstract

Turn-taking is a way that can be referred to as the change of position when the speaker becomes the listener and vice versa in the conversation. This research aims to identify the turn-taking strategies utilized by the debate participants in the second America’s presidential debate 2020. The researchers adhered to the theory of Stenström regarding turn-taking strategies. The research design was qualitative. The observational method and note-taking technique were employed to collect the research data. The analytical technique of discourse analysis and coding were performed to analyze the data. The results of this research were displayed descriptively in the form of words to sentences. The turn-taking strategies were taking the turn, holding the turn, and yielding the turn. The results revealed that the taking the turn strategy was frequently utilized by all of the participants in the debate. The interrupting strategy was commonly used by Donald Trump. Joe Biden with starting up strategy. Kristen Welker tended to perform a prompting strategy. Moreover, the silent pauses as the sub-strategy of holding the turn, appealing, and giving up as part of yielding the turn strategy were not found in the data source. The participants tended to avoid silent pauses and tried to take the floor to speak in order to show their dominance. The nature of the turn-taking system is in line with the existence of power between participants’ relationships.

IdeBahasaVol. 7(1)
Universitas Putera Batam (ID)
Openalex Percentile: Top 83%
Discourse Analysis in Language Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.