Deciphering the dynamics of risk perception: Emotional and cognitive responses to new energy vehicle crises on social media DOI Open Access
Jia Xu,

Yuze Zhou,

Liangdong Lu

и другие.

Journal of Contingencies and Crisis Management, Год журнала: 2024, Номер 32(3)

Опубликована: Июль 26, 2024

Abstract This study examines the impact of various stakeholders on social amplification risk perceptions regarding new energy vehicle technologies, focusing Tesla‐related discussions Weibo. By applying natural language processing and machine learning to extract topics conducting econometric analysis, we explored emotional cognitive dimensions public discourse. Granger causality impulse response analyses revealed that commercial media celebrities initially intensified negative emotions, while government communications mitigated them. Conversely, information from peer firms positively influenced dimension. Variance decomposition highlighted rapid spread emotionally driven content versus deeper engagement elicited by cognitively content. These findings suggest crisis communication strategies should consider distinct dynamics transmission media, providing valuable insights for managing in crises.

Язык: Английский

Social Media Sentiment Analysis to Understand Agricultural Market Trends and Consumer Preferences DOI Creative Commons

January Rizki

Jurnal Minfo Polgan, Год журнала: 2023, Номер 12(2), С. 1734 - 1743

Опубликована: Сен. 5, 2023

Social media has become a very important communication platform in the daily life of modern society. People use these platforms to share their experiences, opinions, and preferences regarding various topics, including agricultural food products. This research aims conduct social sentiment analysis understand market trends consumer preferences. is literature review that adopts qualitative method approach, which means it will analyse interpret data by relying on information text from sources. The study results show an invaluable tool for industry players understanding Using natural language processing machine learning techniques, this enables real-time monitoring opinions feelings products agriculture-related issues.

Язык: Английский

Процитировано

4

Analysis of Social Media Usage in Enhancing Communication and Collaboration in Educational Environments DOI Open Access
Ahmad Jauhari Hamid Ripki, Ayu Wulandari,

Arifannisa Arifannisa

и другие.

Indo-MathEdu Intellectuals Journal, Год журнала: 2024, Номер 5(2), С. 1511 - 1522

Опубликована: Март 17, 2024

In this rapidly evolving digital era, the use of social media has become an integral part daily life, including among students, teachers, and parents in educational environments. This study aims to conduct in-depth analysis usage efforts enhance communication collaboration settings. The method employed research is a qualitative literature review utilizing data sourced from Google Scholar spanning 2020 2024. Key search terms included media, collaboration, education environment. technique used analysis. process involves several steps, such as organising data, forming themes or patterns, interpreting findings scientific articles used. study's reveal that continuously crucial aspect across various domains, education. enhancing environments highlights its significant potential increase participant engagement, facilitate exchange ideas, broaden reach information. However, utilization also necessitates careful responsible approach address associated challenges risks.

Язык: Английский

Процитировано

1

Emotional Intelligence and Social Interaction – A Bibliometric Analysis DOI Open Access

Prabakar S Ida Merlin J

International Research Journal of Multidisciplinary Scope, Год журнала: 2024, Номер 05(02), С. 224 - 231

Опубликована: Янв. 1, 2024

The focus of the present study is to evaluate and review documents on Emotional Intelligence Social Interaction published in Scopus database. keywords used obtain are “Emotional Intelligence” “Social Interaction”. This performs bibliometric analysis 284 articles between years 2000-2023. It evident from findings that publications related emotional intelligence social interaction have been steady for past few there a need rise research this field as basis any outcome. shows top cited article with 570 citations ‘Emotion regulation abilities quality interaction’. most influential authors Green, Michael F. Horan, William P. countries United States Kingdom sources Journal Personality Psychology Individual Differences. provides implications future researchers based literature carried out highlights in-depth “social interaction” sociological socio-psychological perspective.

Язык: Английский

Процитировано

1

Digital Identities and Aesthetic Expression: Uncovering Young Indonesians Argumentation in Filter Usage on Social Media DOI Open Access
Dony Arung Triantoro,

M. Agung Pramana

CHANNEL Jurnal Komunikasi, Год журнала: 2024, Номер 12(1), С. 37 - 47

Опубликована: Апрель 26, 2024

This study delves into the diverse motivations and impacts of Instagram filter usage among young Indonesians, focusing on how these digital tools influence selfrepresentation social interaction within sphere. While filters are traditionally viewed as aesthetic enhancements, this research highlights their broader roles, including entertainment, education, personal branding. Utilizing a qualitative approach, paper collects data through interviews netnography, employing snowball sampling to gather in-depth insights from eight users. Findings indicate that people use not only for visual enhancement but also fun, educational engagement, expression traits like humor intelligence. underscores people's agency active consumers, manipulating craft public personas navigate media spaces. need further quantitative explore widespread patterns consumption youth, aiming enrich understanding identity formation in globalized context.

Язык: Английский

Процитировано

1

Deciphering the dynamics of risk perception: Emotional and cognitive responses to new energy vehicle crises on social media DOI Open Access
Jia Xu,

Yuze Zhou,

Liangdong Lu

и другие.

Journal of Contingencies and Crisis Management, Год журнала: 2024, Номер 32(3)

Опубликована: Июль 26, 2024

Abstract This study examines the impact of various stakeholders on social amplification risk perceptions regarding new energy vehicle technologies, focusing Tesla‐related discussions Weibo. By applying natural language processing and machine learning to extract topics conducting econometric analysis, we explored emotional cognitive dimensions public discourse. Granger causality impulse response analyses revealed that commercial media celebrities initially intensified negative emotions, while government communications mitigated them. Conversely, information from peer firms positively influenced dimension. Variance decomposition highlighted rapid spread emotionally driven content versus deeper engagement elicited by cognitively content. These findings suggest crisis communication strategies should consider distinct dynamics transmission media, providing valuable insights for managing in crises.

Язык: Английский

Процитировано

1