ORCID Profile
0000-0002-4387-2779
Current Organisation
UNSW Sydney
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Publisher: Informa UK Limited
Date: 04-2020
Publisher: Informa UK Limited
Date: 30-11-2021
Publisher: SAGE Publications
Date: 2020
Abstract: Emotions are non-negligible parts of the experience among the cancer-affected population to be reckoned with. With the increasing usage of social media platforms as venues for emotional disclosure, we ask the question, what and how are the emotions of the cancer community being shared there? Using a deep learning model and social network analysis, we investigated emotions expressed in a large collection of cancer-related tweets. The results showed that joy was the most commonly shared emotion, followed by sadness and fear, with anger, hope, and bittersweet being less shared. In addition, both the gatekeepers and influencers were more likely to post content with positive emotions, while gatekeepers refrained themselves from posting negative emotions to a greater extent. Last, cancer-related tweets with joy, sadness, and hope received more likes, whereas tweets with joy and anger were more retweeted. The implications of the findings are discussed in the context of social media health communities.
Publisher: Oxford University Press (OUP)
Date: 12-06-2023
DOI: 10.1093/JCMC/ZMAD028
Abstract: Theories and research in human–machine communication (HMC) suggest that machines, when replacing humans as communication partners, change the processes and outcomes of communication. With artificial intelligence (AI) increasingly used to interview and evaluate job applicants, employers should consider the effects of AI on applicants’ psychology and performance during AI-based interviews. This study examined job applicants’ experience and speech fluency when evaluated by AI. In a three-condition between-subjects experiment (N = 134), college students had an online mock job interview under the impression that their performance would be evaluated by a human recruiter, an AI system, or an AI system with a humanlike interface. Participants reported higher uncertainty and lower social presence and had a higher articulation rate in the AI-evaluation condition than in the human-evaluation condition. Through lowering social presence, AI evaluation increased speech rate and reduced silent pauses. Findings inform theories of HMC and practices of automated recruitment and professional training.
Publisher: ACM
Date: 16-11-2022
Publisher: Informa UK Limited
Date: 28-08-2019
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: ACM
Date: 18-05-2020
Publisher: Emerald
Date: 02-10-2020
DOI: 10.1108/CCIJ-06-2020-0096
Abstract: The study sought to explore how people's negative emotions change in a crisis situation when they get to know about the crisis and the corporate's socially responsible activities after crisis. A 2 (crisis type: human error vs organization misdeed) × 2 (CSR fit: low vs high) × 3 (motive disclosure: no disclosure vs company-oriented disclosure vs society-oriented disclosure) between-subjects experiment was conducted online. More anger was elicited toward organizational misdeed than human error from both within-person and between-persons perspectives. When using CSR as postcrisis strategy, within-person analyses revealed that high CSR fit in message helped to attenuate sadness (and potentially anger) to a greater extent than low CSR fit, whereas between-persons analyses did not find significant effects of either CSR fit or motive disclosure. Our findings demonstrate that situational dynamics in crisis situation constantly influence people's emotional states, suggesting a vertical investigation (e.g. within-in idual analysis) of emotions may help both scholars and practitioners better understand the nature of crisis emotions and provide fresh insights on how to cope with them.
Publisher: Informa UK Limited
Date: 02-09-2021
Publisher: Elsevier BV
Date: 11-2021
Publisher: Informa UK Limited
Date: 10-10-2018
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 03-2021
Publisher: Informa UK Limited
Date: 02-01-2020
Publisher: ACM
Date: 04-12-2018
Publisher: Informa UK Limited
Date: 11-12-2019
Publisher: Journal of Communication Technology
Date: 05-02-2022
Abstract: Green consumerism is a growing trend that may contribute to a more sustainable society. However, lack of motivation to pursue a green lifestyle might subject consumers to well-documented moral licensing effects. Moreover, in iduals with conservative ideological leanings are also less predisposed to take environmentally friendly actions, suggesting that sustainability communication strategies may need to differ by user ideology. The present study tested gamification techniques as a way to boost green motivations for consumers with varying political ideologies. Through an online experiment (N = 531), we reported null findings with respect to the effects of gamification techniques and political ideology on consumers’ behavioral intentions. Implications and directions for future work on sustainability communication are discussed.
Publisher: Elsevier BV
Date: 03-2022
Publisher: SAGE Publications
Date: 18-07-2023
DOI: 10.1177/02654075231189899
Abstract: Maintaining satisfying close relationships is important for in iduals’ well-being. In the digital age, artificial intelligence (AI) has growing applications for relationship maintenance and thus implications for relational well-being. We hypothesize that although using AI to help with relational maintenance may reduce an in idual’s effort, their partner may perceive AI-augmented activities negatively. According to the investment model and equity theory, perceptions of diminished effort in a relationship may lead to less satisfaction and greater uncertainty about the partner’s involvement in the relationship. In an online experiment, we presented participants ( N = 208) with hypothetical scenarios of relational maintenance initiated by a fictional close friend, with a 3 (agency: self-without-augmentation vs. AI-augmented vs. human-augmented) × 3 (relational task: support-giving vs. advice-giving vs. birthday celebration) between-subjects design. Compared to the self-without-augmentation condition (i.e., the control condition) where the friend completed a relational task with no external aid, using AI assistance led participants to perceive the friend expended less effort, reducing participants’ relationship satisfaction and increasing uncertainty. Getting help from another person was not significantly different from using AI in terms of perceived partner effort, relationship satisfaction, uncertainty, and perceived appropriateness. We discuss the implications of the findings for relational maintenance and technology-mediated communication.
Publisher: Informa UK Limited
Date: 04-10-2018
Publisher: Informa UK Limited
Date: 19-12-2019
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 2020
No related grants have been discovered for Lewen Wei.