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1.
《Information processing & management》2022,59(5):103035
The loss of followers poses a severe threat to the development of microblogging platforms and bloggers. However, the reasons behind users’ unfollowing behavior remain unclear. Drawing on the person-environment fit framework, we examined how different types of person-environment misfits affect users’ unfollowing intention and the relationship between these misfits. We collected the data to test the research model from 305 Weibo users via an online survey. The results suggest that from the perspective of complementary misfit, information overload increases social media fatigue, and information irrelevance increases followers’ expectation disconfirmation. From the perspective of supplementary misfit, perceived value dissimilarity positively affects followers’ fatigue and disconfirmation. These negative psychological states consequently lead to followers’ unfollowing intention. Furthermore, our results revealed the positive effects of perceived value dissimilarity on information overload and information irrelevance. We also discuss the theoretical contributions and practical implications of this study. 相似文献
2.
People express themselves through posts or selfies with brands and activities on social networking sites (SNSs) such as Facebook and Instagram. This user-generated content provides adequate social information that may elicit the emotions of users who are exposed to such content on these online platforms. Although academic researchers have focused on factors affecting users’ emotions on SNSs, how users reconcile both positive and negative emotions to their attitude and behavior in triadic interactions remains unclear. The current study attempted to answer this research question through the lens of social comparison theory by investigating the effects of tie strength and focus of attention as two forces eliciting online social comparisons on emotional consequences measured through pleasure and envy. Moreover, the dualistic effects of the two distinct types of envy, namely benign and malicious, and the effect of pleasure on users’ approach and avoidance behavior were explored and hypothesized. The results indicated that strong ties triggered more benign envy compared with malicious envy. Furthermore, benign envy positively affected brand attitude and SNS avoidance in terms of exhaustion, whereas malicious envy negatively influenced brand attitude and increased the likelihood of SNS avoidance in terms of both exhaustion and discontinuance. 相似文献
3.
[目的/意义] 为了在系统了解国内外关于社交媒体用户信息过载研究现状的基础上,为未来的研究指明方向并为企业基于社交媒体的营销实践提供指导。[方法/过程] 本文从社交媒体用户信息过载的影响因素及其影响后果两方面对相关文献予以系统分析。[结果/结论] 研究发现,社交媒体的系统特征因素、信息特征因素和用户的心理性因素、行为性因素和社会性因素是导致社交媒体用户感知信息过载的主要因素;信息过载会导致用户出现倦怠、情绪枯竭、不满意等消极情绪,并引起他们的不持续使用或转移行为、信息回避行为等。 相似文献
4.
[目的/意义]探究诱发移动社交网络用户间歇性中辍行为的关键因素及其相互作用机理,为移动社交网络的设计者、开发者和运营者的社交网络功能优化、信息服务质量提升和精准营销推广等实践工作提供可供参考的意见和建议。[方法/过程]以"压力源-压力-结果"为分析框架,在整合压力应对理论、使用与满足理论和社会支持理论的基础上,从技术压力和使用满足的视角出发提出研究假设构建研究模型。实证研究以微信的深度用户为研究样本,采用"情境实验+问卷访谈"的方式获取404份有效样本数据,利用Smart PLS2.0软件验证假设和模型。[结果/结论]技术压力和使用满足的影响在用户使用社交网络时同时存在,均能显著正向影响用户的产品转换疲劳和使用疲劳,两者的综合作用能诱发用户间歇性中辍行为。其中,技术压力因素中的信息过载、功能过载是产生社交网络使用疲劳的重要前因;使用满足因素中的情感需要满足、社交需要满足和信息需要满足是产生社交网络转换疲劳的重要前因。 相似文献
5.
《Information processing & management》2020,57(6):102307
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collected from Facebook users. Our results indicated that the three types of overload are interconnected through system feature overload. System feature overload, information overload, and social overload engender user exhaustion, which in turn leads to users’ discontinued usage of social media. This study extends current technostress research by demonstrating the value of the SSO perspective in explaining users’ social media discontinuance. 相似文献
6.
Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction. 相似文献
7.
In social networking services (SNSs), users’ unclear understanding of the large and invisible audience increases the chances of online turbulence, which is a key source of SNS-induced stress. This growing phenomenon has gained increasing attention in academia and industry due to the undesirable consequences for users and SNS platforms. In this study, we draw from the transactional model of stress to examine how audience management strategies impact online turbulence and lead to neglected unintended audience concern and lurking. We also investigate the role of self-monitoring as a stress inhibitor. We test our model with data collected from 301 SNS users. The results show that the four types of audience management strategies have different effects on online turbulence, which significantly impacts neglected unintended audience concern especially when users have high self-monitoring skills. We believe that this work contributes, both from scientific and practical standpoints, to the understanding of the interventions and stressful responses of online turbulence in SNSs. 相似文献
8.
Abuse of information entrusted to organizations can result in a variety of privacy violations and trust concerns for consumers. In the event of violations, a social media brand or organization renders an apology – a form of social account – to alleviate users’ concerns and maintain user membership and engagement with the platform. To explore the link between apology offered by a social media brand or organization and the users’ trust dynamics in the brand’s services, we study how organizational integrity can contribute to reducing individuals’ privacy concerns whiles increasing or repairing their trust. Drawing on organizational behavioral integrity literature, our proposed research model suggests that the persuasiveness of an apology following a data breach affects users’ trust or spillover trust through their perceptions of the degree of alignment between the words in the apology and the actions of the violating entity. Based on a survey of Facebook users, our findings show that persuasiveness of an apology has a significant impact on users’ perceptions of the alignment between the social media brand’s (i.e. Facebook) words and subsequent actions. These perceptions impact social media brand trust (i.e. users’ trust in Facebook and allied services such as Instagram). We also find that, post data breach incidence, while integrity of the social media organization partially mediates the relationship between persuasive apology and users’ trust, it fully mediates the relationship between the persuasive apology and the privacy concerns expressed by the users. However, users’ privacy concerns do not contribute much to the repair of trust needed to maintain their membership. 相似文献
9.
同侪影响对用户贡献行为的作用研究———基于网络客观大数据的分析 《科学学研究》2021,39(12):2294-2304
本文将同侪影响引入在线创新社区的用户行为研究中,从广度和深度两方面考察同侪影响对用户贡献行为的影响,并分析感知收益的中介作用。研究以小米社区MIUI功能与讨论区的创意集市板块为对象构建S-O-R模型,采用6567名用户发布的8830条创意、5.26万条评论和收到的103.36万条评论数据,利用Mplus8.1分析检验,结果发现：同侪影响广度与深度均有利于促进用户贡献行为,综合收益在同侪影响广度、深度与用户贡献行为间起正向中介效应,情感收益仅在同侪影响广度、深度与主动贡献行为间起正向中介效应,而认知收益则在同侪影响深度与反应贡献行为间起负向中介效应。研究拓展了在线网络情境下知识管理与社会学领域的交叉研究,并为在线创新社区社交网络和知识管理提供重要启示。 相似文献
10.
探究个人信息回避行为的驱动因素既能为社会深入理解个人信息回避行为提供一定理论支持,也能为优化互联网+环境下个人信息回避行为提供一定的参考。文章采用质性研究方法,借助NVivo 11软件,分析Web of ScienceTM核心合集数据库中相关文献,结合风险与效用理论,对个人信息回避行为的驱动因素进行梳理。研究发现,负面情绪是个人信息回避行为的最主要驱动因素,认知冲突、行为成本和损失厌恶是主要驱动因素,维持乐观是次要驱动因素,信息疲劳和信息主观规范是一般驱动因素。据此得出相应启示。 相似文献
11.
[目的/意义]本文以用户行为感知视角，研究影响移动社交网络主导型用户与浏览型用户持续使用的因素，为移动社交网络信息服务提供理论基础，并为移动社交网络提供商提出参考与应用借鉴。[方法/过程]分析移动社交网络主导型用户与浏览型用户持续使用意愿影响因素，引入相关变量，构建了基于用户行为感知的移动社交网络信息服务持续使用意愿模型并提出假设，最后通过结构方程模型进行实证分析。[结果/结论]感知有用性、感知易用性、感知娱乐、感知质量等因素均显著影响主导型及浏览型两类用户；服务质量、感知风险、知识获取、个人创新、社会认可、感知信任、感知转换成本等因素对两类用户有不同程度的影响。 相似文献
12.
Users of Social Networking Sites (SNSs) like Facebook, LinkedIn or Twitter, are facing two problems: (1) it is difficult for them to keep track of their social friendships and friends’ social activities scattered across different SNSs; and (2) they are often overwhelmed by the huge amount of social data (friends’ updates and other activities). To address these two problems, we propose a user-centric system called “SocConnect” (Social Connect) for aggregating social data from different SNSs and allowing users to create personalized social and semantic contexts for their social data. Users can blend and group friends on different SNSs, and rate the friends and their activities as favourite, neutral or disliked. SocConnect then provides personalized recommendation of friends’ activities that may be interesting to each user, using machine learning techniques. A prototype is also implemented to demonstrate these functionalities of SocConnect. Evaluation on real users confirms that users generally like the proposed functionalities of our system, and machine learning can be effectively applied to provide personalized recommendation of friends’ activities and help users deal with cognitive overload. 相似文献
13.
《Information processing & management》2022,59(1):102785
Internet platforms increasingly rely on personal data to maintain user base and attract potential users. However, users might misrepresent their personal information in response to the requests when they expect their personal information to be used for unstated purposes. Misrepresenting of personal information (MPI), as a regular deviant behavior on online platforms, leads to data noises and service failures and needs further investigation. Drawing on the neutralization theory and online scenario survey, this study constructs a model to examine the factors of MPI. The results show that techniques of neutralization, such as denial of injury, defense of necessity, metaphor of the ledger, and avoidance of greater harm, are positively associated with users’ intention of MPI. In particular, avoidance of greater harm has a stronger effect on MPI intention than other neutralization techniques. Furthermore, we also explore the contingent role of personality traits. The results show that extraversion negatively moderates the relationships between denial of injury, avoidance of greater harm and MPI, whereas neuroticism plays a positive role in moderating the relationships between denial of injury, metaphor of the ledger, avoidance of greater harm and MPI. Moreover, post-hoc analysis results show that users do some differernces regarding justify their deviant disclosure behavior by using neutralization techniques between e-commerce platform and social networking site. Focusing on the dark side of disclosure behavior, this study enriches the current literature by applying neutralization theory and provides a new direction for academia and Internet practitioners to understand users’ deviant disclosure behavior. 相似文献
14.
Information and communication technologies in use in government systems can bring about expected benefits only when citizens are willing and able to use such systems. Previous studies from various disciplines provided a fundamental understanding of human behavior with technology adoption that focused mainly on the technical and supply sides of this adoption. We argue that it is necessary to move away from an assumption that users form a homogeneous group under the phenomenon of the digital divide. Having conducted an online experiment, this study empirically examined the effects of personal factors, particularly the perceived information literacy, and the perceived information overload, on the user’s perceptions on the usefulness and trust in a government website. We find that the higher an individual perceives one’s information literacy, the more he or she trusts the website, and this is mediated by one’s perceived information overload (negatively) and perceived usefulness (positively). This research provides a more balanced understanding of the behavior of e-government adoption, supplemented with the details of citizen engagement factors, and specifies meaningful practical implications for successful e-government policies. 相似文献
15.
Seyed Amin Mirlohi Falavarjani Fattane Zarrinkalam Jelena Jovanovic Ebrahim Bagheri Ali A. Ghorbani 《Information processing & management》2019,56(6):102070
The ever increasing presence of online social networks in users’ daily lives has led to the interplay between users’ online and offline activities. There have already been several works that have studied the impact of users’ online activities on their offline behavior, e.g., the impact of interaction with friends on an exercise social network on the number of daily steps. In this paper, we consider the inverse to what has already been studied and report on our extensive study that explores the potential causal effects of users’ offline activities on their online social behavior. The objective of our work is to understand whether the activities that users are involved with in their real daily life, which place them within or away from social situations, have any direct causal impact on their behavior in online social networks. Our work is motivated by the theory of normative social influence, which argues that individuals may show behaviors or express opinions that conform to those of the community for the sake of being accepted or from fear of rejection or isolation. We have collected data from two online social networks, namely Twitter and Foursquare, and systematically aligned user content on both social networks. On this basis, we have performed a natural experiment that took the form of an interrupted time series with a comparison group design to study whether users’ socially situated offline activities exhibited through their Foursquare check-ins impact their online behavior captured through the content they share on Twitter. Our main findings can be summarised as follows (1) a change in users’ offline behavior that affects the level of users’ exposure to social situations, e.g., starting to go to the gym or discontinuing frequenting bars, can have a causal impact on users’ online topical interests and sentiment; and (2) the causal relations between users’ socially situated offline activities and their online social behavior can be used to build effective predictive models of users’ online topical interests and sentiments. 相似文献
16.
Information systems research provides increasing evidence that women and men differ in their use of information technology. However, research has not sufficiently explained why these differences exist. Using the theory of reasoned action and social role theory, this paper investigates gender differences in people’s decisions about information sharing in the context of social networking sites (SNSs). We developed a comparative model of the information-sharing decision process across genders and theoretically explained why these differences exist. Data was collected from an online survey taken by American SNS users. We found that privacy risks, social ties, and commitment were more important in the formation of attitudes toward information sharing for women than men. Gender significantly moderates the relationship between people’s perceptions of information sharing and their intention to share information. This paper provides an enhanced understanding of gender differences in people’s decisions about sharing information on SNSs. It advances gender differences research into the use of newly emerged information technology and provides researchers insightful views of the role that gender plays in the social media era. Being aware of the research findings, practitioners may better engage their targeted stakeholders on SNSs and collect more useful information for business purposes. 相似文献
17.
[目的/意义]探究社交网络环境下大学生信息回避行为影响因素,既能为社会深入理解社交网络环境下大学生信息回避行为提供一定理论支持,也能为社交平台优化用户信息回避行为提供一定的参考和借鉴。[方法/过程]通过半结构化深度访谈收集30位在校大学生社交网络中信息回避行为的相关数据,借助NVivo11软件对原始数据进行编码与分析,归纳出影响社交网络环境下大学生信息回避行为的10个基本范畴并聚焦为3个主范畴,在此基础上建构社交网络环境下大学生信息回避行为理论模型。[结果/结论]研究发现,认知因素是社交网络环境下大学生健康信息回避行为的直接影响因素和内部驱动因素,信息因素与社会因素是间接影响因素和外部情境因素。其中,认知因素是社交网络环境下大学生信息回避行为最重要的影响因素。 相似文献
18.
[目的/意义]探究高校图书馆微信公众号用户消极使用行为的影响因素,为改进服务质量、优化使用体验和提升用户活跃度等提供有价值的意见和建议。[方法/过程]借鉴信息过载、信息系统成功模型及媒介系统依赖理论的相关研究成果,构建图书馆微信公众平台用户消极使用行为模型,并通过问卷调查和结构方程模型进行验证。[结果/结论]信息过载正向影响用户不满意度,信息质量、服务质量及依赖均负向影响用户不满意度,不满意度正向影响用户的忽略和取关行为,依赖负向影响用户的忽略行为和取关行为;不满意度对忽略行为影响程度大于取关行为,而依赖对取关行为的影响程度大于忽略行为。 相似文献
19.
The findings of our experiments showed that social network sites (SNSs) such as Google Plus, Facebook, and Twitter, have the ability to acquire knowledge about their users’ movements not only within SNSs but also beyond SNS boundaries, particularly among websites that embedded SNS widgets such as Google’s Plus One button, Facebook’s Like button, and Twitter’s Tweet button. In this paper, we analysed the privacy implication of such a practice from a moral perspective by applying Helen Nissenbaum’s decision heuristic derived from her contextual integrity framework in order to answer the question of whether or not an online user’s privacy is being violated by this practice. 相似文献
20.
Fattane Zarrinkalam Mohsen Kahani Ebrahim Bagheri 《Information processing & management》2018,54(2):339-357
Inferring users’ interests from their activities on social networks has been an emerging research topic in the recent years. Most existing approaches heavily rely on the explicit contributions (posts) of a user and overlook users’ implicit interests, i.e., those potential user interests that the user did not explicitly mention but might have interest in. Given a set of active topics present in a social network in a specified time interval, our goal is to build an interest profile for a user over these topics by considering both explicit and implicit interests of the user. The reason for this is that the interests of free-riders and cold start users who constitute a large majority of social network users, cannot be directly identified from their explicit contributions to the social network. Specifically, to infer users’ implicit interests, we propose a graph-based link prediction schema that operates over a representation model consisting of three types of information: user explicit contributions to topics, relationships between users, and the relatedness between topics. Through extensive experiments on different variants of our representation model and considering both homogeneous and heterogeneous link prediction, we investigate how topic relatedness and users’ homophily relation impact the quality of inferring users’ implicit interests. Comparison with state-of-the-art baselines on a real-world Twitter dataset demonstrates the effectiveness of our model in inferring users’ interests in terms of perplexity and in the context of retweet prediction application. Moreover, we further show that the impact of our work is especially meaningful when considered in case of free-riders and cold start users. 相似文献