Say Something or I Am Scrolling Down: Exploring the Underlying Predictors of Social Media Comment Popularity DOI
Yunyi Jia, Lili Shang

Опубликована: Янв. 1, 2024

Язык: Английский

Exploring the dynamics of consumer engagement in social media influencer marketing: from the self-determination theory perspective DOI Creative Commons
Chenyu Gu,

Qiuting Duan

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Май 8, 2024

Abstract Influencer advertising has emerged as an integral part of social media marketing. Within this realm, consumer engagement is a critical indicator for gauging the impact influencer advertisements, it encompasses proactive involvement consumers in spreading advertisements and creating value. Therefore, investigating mechanisms behind holds significant relevance formulating effective strategies. The current study, grounded self-determination theory employing stimulus-organism-response framework, constructs general model to assess factors, advertisement information, factors on engagement. Analyzing data from 522 samples using structural equation modeling, findings reveal: (1) Social influencers are at generating initial online traffic but have limited influence deeper levels engagement, cautioning advertisers against overestimating their impact; (2) essence higher-level lies ad information factor, affirming that new era, content remains ‘king’; (3) Interpersonal should also be given importance, influencing surrounding groups one ways enhance advertising. Theoretically, research broadens scope both effectiveness studies, forming bridge between marketing Practically, offer macro-level strategic insights

Язык: Английский

Процитировано

12

Examining Social Support Conversations on Reddit During COVID-19 Using Computational Methods DOI
Qinghua Yang, Zhifan Luo, Andrew M. Ledbetter

и другие.

Health Communication, Год журнала: 2025, Номер unknown, С. 1 - 10

Опубликована: Март 3, 2025

Public health crises like the COVID-19 pandemic have posed unprecedented challenges to both physical and mental health. To better understand related social support conversations on online groups, how topics of these are associated with producing conversation authors' status, we analyzed 65,004 posts comments subreddit r/COVID19_support using structural topic modeling. Among 22 valid identified, those that attracted more user engagement addressed uncertainty about prospective situations, national international news, sending condolences regarding loss, dangerous impact pandemic. More importantly, giving esteem (e.g. encouragement boost others' self-efficacy, expressing appreciation) emotional regards condolences) were consistently negatively anxiety illness during In same vein, providing informational by updating situations political, media, working environment also reduced illness. Theoretical practical implications discussed.

Язык: Английский

Процитировано

0

Understanding user engagement in mobile health applications from a privacy management perspective DOI
Han Zheng, Zhao Lin, Chen Luo

и другие.

Health Promotion International, Год журнала: 2024, Номер 39(4)

Опубликована: Авг. 1, 2024

Mobile health applications (mHealth apps) have surged in popularity for their role promoting knowledge exchange and providing emotional support among consumers. However, this enhanced social connectivity via these apps has led to an escalation privacy breaches, potentially hindering user engagement. Drawing upon the communication management theory, study proposes a moderated mediation model link concerns engagement mHealth apps. An online survey involving 1149 app users was conducted China empirically validate proposed model. Results indicated that were negatively related apps, perceived of partially mediated relationship. Moreover, control positively indirect relationship between privacy. Specifically, negative impact on mitigated who reported higher levels control, indicating when feel more personal data, they are less affected by over Theoretically, potential help scholars understand from perspective. Practically, results could assist mobile providers professionals devising evidence-based strategies enhance promote effective sustainable use

Язык: Английский

Процитировано

1

Research on the Influence of Video Content Features on User Behaviour DOI Creative Commons

Zhiqi Pu

European Conference on Social Media, Год журнала: 2024, Номер 11(1), С. 351 - 358

Опубликована: Май 21, 2024

Research on user engagement behaviours within User-Generated Content (UGC) video platforms is notably scarce, despite previous studies predominantly focusing user-level information. This study contends that enriched information holds significant value. Its objective to provide a profound understanding of the influence mechanisms content features UGC platforms. Combining exploratory and quantitative methodologies, research introduces highly detailed framework for features, covering both cognitive emotional dimensions. The encompasses richness at level level. Addressing behaviours, liking, sharing, saving, tipping, representing users' varied contributions platform. triggers often originate from diverse motivational intentions. focuses dual perspective, blending viewpoints when examining features. Utilizing linear regression equations grounded in social identity theory support theory, explains role triggering behaviours. Age gender serve as moderator variables, exploring behavioural disparities between male female users across different age groups. Findings indicate factors likes shares primarily stem interaction comment section, while tipping saves are influenced by during viewing. also reveals sadness enhances participation intentions, positive emotions characters or commenters diminish Lastly, adopts web crawling through legally accessible interfaces primary data collection method, encompassing 435 videos 25 food category authors.

Язык: Английский

Процитировано

0

Say Something or I Am Scrolling Down: Exploring the Underlying Predictors of Social Media Comment Popularity DOI
Yunyi Jia, Lili Shang

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Say Something or I Am Scrolling Down: Exploring the Underlying Predictors of Social Media Comment Popularity DOI
Yunyi Jia, Lili Shang

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0