Analysis of the Application of Politeness Maxims and Cost-benefit in Comment Section LinkedIn

This study explores the use of Leech's politeness maxims and the cost-benefit principle in LinkedIn comments about job postings, aiming to understand how job seekers maintain politeness when pursuing job opportunities in a professional digital environment. The research objects used were comments in 5 job postings. Using a descriptive qualitative approach, the comments on the LinkedIn platform were analysis and classified based on the 6 maxims proposed by Leech: Tact Maxim, Generosity maxim, Approbation Maxim, Modesty Maxim, Agreement Maxim and Sympathy Maxim. The findings showed that out of a total of 31 data found, the Tact Maxim (32%) was the most common, followed by Approbation Maxim (16%), Generosity maxim (13%), Modesty Maxim (13%), Agreement Maxim (3,2%) and Sympathy Maxim (3,2%). Further cost-benefit analysis revealed that most of the comments showed a lack of politeness, focusing only on personal benefits without providing benefits to the interlocutor.

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Publication Details

Journal
JURNAL RISET RUMPUN ILMU BAHASA
Published
2025-10-15
DOI
https://doi.org/10.55606/jurribah.v4i3.7014
Primary Topic
Advanced Text Analysis Techniques
Type
article
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article

Analysis of the Application of Politeness Maxims and Cost-benefit in Comment Section LinkedIn

Lira Mey Nisa, Nabilah Siti Haniyah, Nijmal adawiyah, Octavia Amelia et al.
JURNAL RISET RUMPUN ILMU BAHASA
Advanced Text Analysis Techniques
article

Analysis of the Application of Politeness Maxims and Cost-benefit in Comment Section LinkedIn

Lira Mey Nisa, Nabilah Siti Haniyah, Nijmal adawiyah, Octavia Amelia, Muhammad Natsir, Tiodame Layupa Simanullang
article en

Abstract

This study explores the use of Leech's politeness maxims and the cost-benefit principle in LinkedIn comments about job postings, aiming to understand how job seekers maintain politeness when pursuing job opportunities in a professional digital environment. The research objects used were comments in 5 job postings. Using a descriptive qualitative approach, the comments on the LinkedIn platform were analysis and classified based on the 6 maxims proposed by Leech: Tact Maxim, Generosity maxim, Approbation Maxim, Modesty Maxim, Agreement Maxim and Sympathy Maxim. The findings showed that out of a total of 31 data found, the Tact Maxim (32%) was the most common, followed by Approbation Maxim (16%), Generosity maxim (13%), Modesty Maxim (13%), Agreement Maxim (3,2%) and Sympathy Maxim (3,2%). Further cost-benefit analysis revealed that most of the comments showed a lack of politeness, focusing only on personal benefits without providing benefits to the interlocutor.

JURNAL RISET RUMPUN ILMU BAHASAVol. 4(3)
State University of Medan (ID)
Openalex Percentile: Top 85%
Advanced Text Analysis Techniques
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Analysis of the Application of Politeness Maxims and Cost-benefit in Comment Section LinkedIn — Lira Mey Nisa, Nabilah Siti Haniyah, et al. · JURNAL RISET RUMPUN ILMU BAHASA (2025) | TGRS Research Map | TGRS