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Information opacity in donation crowdfunding activities has constrained the healthy development of China’s public welfare activities. Addressing the trust crisis and enhancing public engagement warrants further investigation. This study aims to uncover the moderating effect of activity transparency by utilizing data from 1,029 donation crowdfunding projects on the Sina Weibo Public Welfare Social Platform. In this way, we seek to elucidate the impact of donation crowdfunding events on fundraising ability.

This study selects text complexity, number of supporters, creator experience, and social capital as explanatory variables; innovatively selects the number of updates of online crowdfunding activities and total reading volume as moderating variables; selects the number of shares of crowdfunding activities as a mediating variable; and constructs a moderated mediation multiple regression model for fundraising ability.

Our findings indicate that independent variables, such as text complexity, number of supporters, and social capital, can significantly affect the dependent variable, fundraising ability. However, creator experience does not influence fundraising ability. Furthermore, social interaction has a mediating effect, whereas activity transparency has a reverse moderating effect. These results indicate that social interaction can enhance the fundraising ability of donation crowdfunding events. However, with an increase in information transparency, the fundraising ability of social media decreases.

The originality of this research is in clarifying the internal factors affecting fundraising ability through induction, making bold assumptions, and focusing on how social media’s effective interaction and activity transparency will affect public welfare crowdfunding fundraising ability.

Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to knowledge contributors.

We used Python to gather data from Zhihu, performed hypothesis testing on the models using Poisson regression and finally conducted a mediation effect analysis.

The findings reveal that knowledge seeking impacts users' motivation for information interaction, emotional interaction and trust. Notably, information interaction and trust exhibit a chained mediation effect that subsequently influences knowledge contribution.

Current studies on user knowledge behavior typically examine individual actions, rarely connecting knowledge seeking and knowledge contribution. However, the balance of knowledge inflow and outflow is crucial for social Q&A platforms. To cover this gap, this paper empirically investigates the switching between knowledge seeking and knowledge contribution based on the social interaction theory and trust theory.

This paper aims to clarify the meaning of children’s participation in the relationship between children’s individual action and the social treatment and consequences of this action. For this purpose, the paper explores the integration of different theoretical approaches that can shape research on children’s participation, looking at interactions, complex social systems that include interactions, and narratives that are produced in these complex social systems. This integration allows the understanding of the ways in which children actively participate in communication processes, social structures condition children’s active participation, and children’s active participation can enhance structural change in social systems, through the implementation of promotional communication systems. The paper highlights the following paradox: the relevance of children’s action for social change depends on the relevance of adults’ action in promoting children’s actions. This theoretical perspective is exemplified in the case of promotion of children’s active participation in the education system through the empirical analysis of cases of videotaped and transcribed interactions, highlighting facilitation systems of classroom communication. The analyzed data are based on a field research in Italian classrooms regarding a specific methodology of facilitation of communication. The analysis of these data shows the ways in which the facilitation system creates the paradoxical relationship between structures that condition children’s active participation and children’s active participation that enhances structural change. The paper highlights a new way of dealing with children’s participation, based on a social constructionist, systemic, and interactionist approach.

Social media stage online patterns of social interaction that differ remarkably from ordinary forms of acting, talking and relating. To unravel these differences, we review the literature on micro-sociology and social psychology and derive a shorthand version of socially-embedded forms of interaction. We use that version as a yardstick for reconstructing and assessing the patterns of sociality social media promote. Our analysis shows that social media platforms stage highly stylized forms of social interaction such as liking, following, tagging, etc. that essentially serve the purpose of generating a calculable and machine-readable data footprint out of user platform participation. This online stylization of social interaction and the data it procures are, however, only the first steps of what we call the infrastructuring of social media. Social media use the data footprint that results from the stylization of social interaction to derive larger (and commercially relevant) social entities such as audiences, networks and groups that are constantly fed back to individuals and groups of users as personalized recommendations of one form or another. Social media infrastructure sociality as they provide the backstage operations and technological facilities out of which new habits and modes of social relatedness emerge and diffuse across the social fabric.

The present research builds on three complementary theories to explore how social influence processes in interaction bring about opinion and sentiment change: expectation states theory, affect control theory, and social influence network theory.

An experimental study is used to test intersections between the theories and assess how performance expectations, affective impressions of group members, and emergent perceptions of their influence work together to generate opinion and sentiment change.

Respondent opinions shifted in the direction of group leaders’ opinions, regardless of behavioral interchange patterns. Opinion change was greater when a third group member shared the leader’s opinion. Change in affective impressions was shaped by the group leader’s opinion, the assertiveness of their behavior, and the support of a third group member. The perceived influence composition of the group predicted opinion and sentiment change, above and beyond the effects of conditional manipulations. Features of the group interaction led to inferences about status characteristics that reinforced the influence order of the group.

The chapter tests hypotheses from earlier work and explores status signals not yet tested as predictors of opinion change – behavioral interchange patterns and the degree of support for one’s ideas. In addition, it examines inferences about status characteristics following the group discussion, and influence effects on the prevailing definition of the situation.

This chapter contributes to recent integrative work that explores the relationship between performance expectations, affective impressions, and social influence. Synergistic processes forwarded by earlier research are tested, along with several newly proposed linkages.

Previous research has studied interactive value formation (IVF) using resource- or practice-based approaches but has neglected the role of emotions. This article aims to show how emotions are correlated in problematic social media interactions and explore their role in IVF.

By combining a text mining algorithm, nonparametric Spearman's rho and thematic qualitative analysis in an explanatory sequential mixed-method design, the authors (1) categorize customers' comments as positive, neutral or negative; (2) pinpoint peaks of negative comments; (3) classify problematic interactions as detrimental, contradictory or conflictual; (4) identify customers' main positive (joy, trust and surprise) and negative emotions (anger, dissatisfaction, disgust, fear and sadness) and (5) correlate these emotions.

Despite several problematic social interactions, the same pattern of emotions appears but with different intensities. Additionally, value co-creation, value no-creation and value co-destruction co-occur in a context of problematic social interactions (peak of negative comments).

This study provides new insights into the effect of customers' emotions during IVF by studying the links between positive and negative emotions and their effects on different sorts of problematic social interactions.

This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster popularity moderates social interaction-oriented content's effect on the two different behaviors in live-streaming commerce.

A research model was proposed and empirically tested using a panel data set collected from 537 live streams via Douyin (the Chinese version of TikTok), one of the most popular live broadcast platforms in China. A fixed-effects negative binomial regression model was used to examine the proposed research model.

This study's results show that social interaction-oriented content in broadcasters' live speech has an inverted U-shaped relationship with broadcast viewers' purchasing behavior and shares a positive linear relationship with viewers' gift-giving behavior. Furthermore, broadcaster popularity significantly moderates the effect of social interaction-oriented content on viewers' purchasing and gift-giving behaviors.

This research enriches the literature on live-streaming commerce by investigating how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' product-purchasing and gift-giving behaviors from the perspective of broadcast viewers' attention. Moreover, this study provides some practical guidelines for developing live speech content in the live-streaming commerce context.

Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant products on social media.

In this research, three studies were conducted to explore the effects of FOMO in different real-life situations. Study 1 was conducted in a laboratory setting in China. Study 2 includes two experiments, one that was conducted in China and one in the USA. Study 3 was conducted in a workplace setting in China.

The results of Study 1 indicate that when consumers experience FOMO, they prefer to post about identity-relevant (vs functional) products to a greater extent than usual. Study 2 examines the role of self-esteem and identifies self-presentation and the avoidance of social attention as underlying mechanisms. Thus, consumers with high (or low) self-esteem tend to be more motivated to present themselves positively (or to avoid social attention) when experiencing FOMO. Furthermore, Study 3 reveals the moderating role of supportive interactions; that is, the interaction between FOMO and consumer self-esteem is most likely to exert an effect when consumers receive many supportive interactions.

This research demonstrates that posting identity-relevant content on social media is a coping strategy that individuals may adopt when experiencing FOMO. Moreover, self-esteem can predict how individuals cope with FOMO by identifying self-presentation and avoidance of social attention as the mechanisms underlying effects. Although this research attempts to avoid interference from other factors between in the relationship FOMO and the control conditions, it seems possible that more socially relevant information may be presented in the FOMO condition.

Because FOMO can be manipulated and posting types can be predicted, this research provides important implications for brands on how to create or post content to better engage consumers.

This research supports the role of FOMO as a driver of on consumer posting preferences on social media.

Many companies strengthen their interaction with consumers by establishing online communities and bring convenience to value co-creation with consumers. Some companies use economic and social strategies to stimulate consumer value creation. However, the way to increase the effectiveness of such corporate strategies remains unclear. To address this challenge, this study investigates the impact patterns of economic and social strategies that influence consumers' value co-creation behaviour in firm-hosted online communities (FOCs). Moreover, the effective conditions for the value co-creation of the two strategies are explored.

Data from an FOC were collected for electronic communications products. A total of 1,305 second-hand data records on value co-creation activities were obtained. Then, an econometric model was built and Stata14.0 software was used for data analysis.

The effect of economic interaction strategy on the value co-creation in online communities is an inverted U-shaped model, and that of social interaction strategy is relatively stable and is not an inverted U-shaped model. Value creation initiatives introduced by enterprise personnel adopt economic strategies to improve effectiveness. On the contrary, value co-creation activities initiated by consumers use social strategies for the same purpose. Economic strategies are effective for large teams, whereas social strategies may lead to a “free rider” mentality.

This study finds two important factors affecting the value co-creation in FOCs and their effective boundaries. However, other factors may also affect the online community value co-creation. Future research can further explore the intrinsic mechanisms of these strategies for value co-creation.

This article mainly discusses the influence of stimulation strategies on the value co-creation in an actual company community and exhibits good practical significance for the value co-creation activity and management in online communities. Firstly, corporate strategy is effective in communities, but this strategy requires proper control. Secondly, the company strategy must consider appropriate application conditions.

This study deepens the understanding of the impact of economic and social strategies on the value co-creation in FOCs and the effective boundaries of these impact patterns.