Social Media Theories

Lin, Carolyn A.; Atkin, David

doi:10.1108/978-1-80071-597-420221002

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…For example, a study by Chahal and Rani (2017) found that trust positively and significantly moderates the relationship between social media engagement and its influence on brand equity relationships. Similarly, a study by Lin et al (2016) found that trust moderated the relationship between social media engagement and reciprocity in social exchanges among Chinese college students.…”

Section: H4 Trust Has a Moderation Impact On The Relationship Between...mentioning

confidence: 87%

“…Several studies have investigated the relationship between psychological benefits and social media use. For example, a study by Lin et al (2016) found that social media use was positively associated with psychological well-being among older adults. In addition, a study by Cho et al (2023) found that social media use was associated with reduced symptoms of depression and anxiety among college students.…”

Section: Relationship Benefitsmentioning

confidence: 99%

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Trust in Social Media: Enhancing Social Relationships

et al. 2023

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This study aims to explore the moderating effect of trust on the relationship between social media engagement, relationship benefits, and social relationships, utilizing an innovative framework grounded in social exchange theory. Employing a quantitative analysis with structural equation modeling (SEM), using a questionnaire distributed to a sample of 493 Jordanian youth, the results unveil a positive correlation between social media engagement and social relationships, with trust emerging as a crucial moderator in this dynamic. Trust positively moderates the connection between social media engagement and social relationships. This research sheds light on the pivotal role of trust in shaping social relationships on social media platforms. However, the interaction between trust and relationship benefits does not significantly impact social relationships. By expanding on existing knowledge, this study offers a fresh perspective on the interplay between trust, social media engagement, relationship benefits, and social relationships, emphasizing the potential of understanding trust to foster stronger social connections in the digital age. The results suggest that the positive influence of social media engagement on social relationships possibly will be determined by the level of trust present inside online communities.

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Section: H4 Trust Has a Moderation Impact On The Relationship Between...mentioning

confidence: 87%

Section: Relationship Benefitsmentioning

confidence: 99%

Trust in Social Media: Enhancing Social Relationships

et al. 2023

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Online Sex Work and Identity Expression: Unmasking Camming

Veiverberg

2024

Sexuality & Culture

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The text mining approach to investigate active areas of library and information science and discover emerging topics

Nemati-Anaraki,

Dehghan,

Asadzandi

et al. 2024

GKMC

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Purpose This study aims to adopt text mining to discover emerging topics in librarianship and information science research in the last decade. Based on the number of citations obtained during the previous 10 years, the authors selected emerging topics in this study and evaluated the strength of their presence. Additionally, the authors determined if the trend was substantial over time and identified the active topics in library and information science (LIS) through the past 10 years. Design/methodology/approach All library and medical information studies were retrieved by the WC = “Information Science & Library Science” tag in the Web of Science. Python programming was used for data analysis. The topics were identified by combining the unsupervised deep learning algorithms TOP2VEC and the term frequency-inverse document frequency and also the Mann–Kendall trend test is used to determine whether the trend was significant over time. Findings Following text mining, the total data from 2012 to 2021 was 63,712. Eleven main topics were also extracted: academic education of LIS, acquisition and collection development, publishing articles, cataloging and classification, journalism, knowledge management, infometrics, social media, university ranking, information and communication technologies and information storage and retrieval. Knowledge management has experienced the greatest growth over the past 10 years. Originality/value This analysis reveals which fields are prioritized and which are neglected by the LIS. The findings of this study can help researchers discover newer topics, focus on less-seen subjects and prevent repetitive research in one area.

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Social Media Theories

Cited by 3 publications

References 45 publications

Trust in Social Media: Enhancing Social Relationships

Trust in Social Media: Enhancing Social Relationships

Online Sex Work and Identity Expression: Unmasking Camming

The text mining approach to investigate active areas of library and information science and discover emerging topics

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