E‐Tailers' Twitter (X) Communication: A Textual Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F25%3A00141186" target="_blank" >RIV/00216224:14560/25:00141186 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/10.1111/ijcs.70075" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/ijcs.70075</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ijcs.70075" target="_blank" >10.1111/ijcs.70075</a>

Jazyk výsledku

angličtina

Název v původním jazyce

E‐Tailers' Twitter (X) Communication: A Textual Analysis

Popis výsledku v původním jazyce

The existing literature on human–computer interactions is rich in studies on how consumers interact with brands on social media. However, there is a gap in the research on consumers' responses to the language style of social media branded messages. Therefore, this study aims to analyze e- retailers' Twitter (now X) posts through text analysis to identify the content attributes that are most effective in generating higher numbers of retweets. R software was used for the data extraction and analysis of 28,737 tweets posted by e- retailers in India. We used a variety of text analysis approaches, including retweet analysis, hashtag analysis, word cloud, network analysis, and sentiment analysis to analyze the collected tweets. We observed that tweets that included questions, product names, and promotional activities attracted better retweets, and that hashtags coupled with cam- paigns, products, and events were dominant. On average, positively charged tweets (specifically commanded by trust) were three times more popular than negative tweets. The four most prominent themes emerging in our network analysis are help and support, contests, discounts and offers, and query handling and resolution, which induce positive intentions among online shoppers towards e- retailers. Our findings offer insights into how e- retailers can improve their Twitter (X) activities to engage their audiences.

Název v anglickém jazyce

E‐Tailers' Twitter (X) Communication: A Textual Analysis

Popis výsledku anglicky

The existing literature on human–computer interactions is rich in studies on how consumers interact with brands on social media. However, there is a gap in the research on consumers' responses to the language style of social media branded messages. Therefore, this study aims to analyze e- retailers' Twitter (now X) posts through text analysis to identify the content attributes that are most effective in generating higher numbers of retweets. R software was used for the data extraction and analysis of 28,737 tweets posted by e- retailers in India. We used a variety of text analysis approaches, including retweet analysis, hashtag analysis, word cloud, network analysis, and sentiment analysis to analyze the collected tweets. We observed that tweets that included questions, product names, and promotional activities attracted better retweets, and that hashtags coupled with cam- paigns, products, and events were dominant. On average, positively charged tweets (specifically commanded by trust) were three times more popular than negative tweets. The four most prominent themes emerging in our network analysis are help and support, contests, discounts and offers, and query handling and resolution, which induce positive intentions among online shoppers towards e- retailers. Our findings offer insights into how e- retailers can improve their Twitter (X) activities to engage their audiences.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Consumer Studies

ISSN

1470-6423

e-ISSN

1470-6431

Svazek periodika

49

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

001490962700001

EID výsledku v databázi Scopus

2-s2.0-105005772578