Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese

This article is a pioneering theoretical work as an approach from the perspective of combination of social media characteristics and wisdom of crowds. The aim of this article is to conceptualize the social media channels in terms of their characteristics and to discuss the correlation between social media choices and culture. This paper contributes to social media marketing theory by developing a conceptual approach that explains and offers implications pertaining to the relationship between different social media channels in the age of social media. To do this, the relevant literature has been thoroughly reviewed, and exploratory research method has been used. The study also aims to visualize the effect of cultural differences as aligned with the study of Edward Hall (1967) and Gert Hoftstede (1984). Cultural factors exert a broad and deep influence on social media choices. Arab countries are categorized as high-context culture according to Hall's dimensions. The social media reports, Arab Social Media, conducted by Dubai School of Government of the years from 2013, 2013 and 2017 were analyzed. The limited availability of the literature done on the region has limited the scope and analysis of the research. The paper concludes that social media has certain characteristics that interrelate with each other and culture has a moderation effect on the choices.

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The Effects of Social Commerce Utilization on Business Performance

Information Resources Management Journal ◽

10.4018/irmj.2020070101 ◽

2020 ◽

Vol 33 (3) ◽

pp. 1-23

Author(s):

Firas Mohamad Halawani ◽

Patrick C.H. Soh ◽

Yahya Mohamad Halawani

Keyword(s):

Social Media ◽

Random Sampling ◽

Business Performance ◽

Technological Innovations ◽

Stratified Random Sampling ◽

Social Commerce ◽

User Perspective ◽

The Social ◽

Key Drivers ◽

Media Characteristics

Social commerce is one of the most relevant technological innovations in recent years. It has strongly benefited many industries, including tourism. While many studies on social commerce have been conducted from the user perspective, less attention has been paid to the organisational perspective, particularly that of hotel organisations. To help understand the key drivers of hotel social commerce usage and their effects on hotel business performance, this study augments the integrated model of e-business usage and impact with hotel social media characteristics. Using stratified random sampling, data from 146 hotels in Lebanon were collected and analysed with the PLS-SEM approach. The model represents a theoretical advancement by offering an organisational perspective to the social commerce literature. It shows there is a significant impact of environmental, organisational, and innovation drivers and social media characteristics. The findings help hotels assess their existing social commerce utilization and identify aspects in need of more attention and improvement.

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The effect of personality and social context on willingness to share emotion information on social media

10.31234/osf.io/g8ndz ◽

2018 ◽

Author(s):

Damien Dupré ◽

Nicole Andelic ◽

Anna Zajac ◽

Gawain Morrison ◽

Gary John McKeown

Keyword(s):

Social Media ◽

Social Context ◽

Facial Expression ◽

Personality Traits ◽

Emotion Recognition ◽

Facial Expressions ◽

Personal Information ◽

Facial Emotion ◽

Emotional Information ◽

New Sensors

Sharing personal information is an important way of communicating on social media. Among the information possibly shared, new sensors and tools allow people to share emotion information via facial emotion recognition. This paper questions whether people are prepared to share personal information such as their own emotion on social media. In the current study we examined how factors such as felt emotion, motivation for sharing on social media as well as personality affected participants’ willingness to share self-reported emotion or facial expression online. By carrying out a GLMM analysis, this study found that participants’ willingness to share self-reported emotion and facial expressions was influenced by their personality traits and the motivation for sharing their emotion information that they were given. From our results we can conclude that the estimated level of privacy for certain emotional information, such as facial expression, is influenced by the motivation for sharing the information online.

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