‘What’s up with ur emotions?’ Untangling emotional user experience on Second Life and Facebook

Photiadis, Thomas; Papa, Venetia

doi:10.1080/0144929x.2021.2013537

Cited by 5 publications

(1 citation statement)

References 43 publications

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“…The regression results show that negative emotion posts published in Weibo have a stronger relationship with the number of comments, which confirms that negative bias affects posts sentiment and comment quantity. In contrast, posts published by users on Facebook attract comments due to extreme emotions, whether positive or negative (Photiadis and Papa, 2022). This also shows that emotional Posts released by CPs through the Weibo platform are easy to generate “soothing” comments because they are concerned by acquaintances.…”

Section: Discussionmentioning

confidence: 99%

Untangling the relationship between work pressure and emotions in social media: a quantitative empirical study of construction industry

Liang

2022

ECAM

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PurposeThe booming social media attracts construction professionals (CPs) to express emotions caused by work pressure (WP) through online behaviors. Previous works focus on the analysis of WP and emotions but do not adequately consider how WP can be reflected through online emotions. Thus, this study aims to attempt to explore the quantitative relationship between online emotional intensity and WP.Design/methodology/approachThis study developed a linguistic-sticker (LS) model to quantitatively evaluate the sentiment intensity of posts published on social media. Moreover, the authors designed two econometric models of ordinary least squares regression and negative binomial regression to test the hypothesis.FindingsThe research found that posts with stronger negative sentiment (or positive sentiment) indicate that CPs face higher (or lower) WP. Besides, there is a negative bias between the sentiment intensity of posts and the comment quantity.Practical implicationsThe positive correlation between sentiment intensity of posts and WP has been confirmed, which indicates that construction managers should pay more attention to CPs' behavior on social media, and take a more direct way to analyze work-related online behavior (e.g. posting, commenting). The dynamic monitoring of emotion-related posts also provides a direct basis for the management team to learn about CP's pressure status and propose measures to reduce their negative emotions. Furthermore, the emotional posts published by CPs on social media provide a direct basis for team managers to obtain their psychological state.Originality/valueThe research contributes to incorporating CPs' emotions into the LS model and to providing information systems artifacts and new findings on the analysis of WP and online emotions.

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Section: Discussionmentioning

confidence: 99%