Internet Research最新文献

{"title":"Do fraud alert features improve user satisfaction? Evidence from large language model–based personality traits in online reviews","authors":"Chenkai Bao,Jie Wang,Zheng Zhang","doi":"10.1108/intr-12-2025-2032","DOIUrl":"https://doi.org/10.1108/intr-12-2025-2032","url":null,"abstract":"Purpose This study explores the paradoxical impact of fraud alert features on user satisfaction in age-friendly applications and examines how the personality traits Openness and Neuroticism moderate this relationship. Design/methodology/approach Drawing on 7,516 user reviews of an age-friendly music application collected from April 2021 to November 2024, we employ large language model–based (LLM-based) personality inference to identify users' psychological traits. Ordinary least squares regressions with brand fixed effects are applied to test the direct and moderating effects of fraud alert feature within a self-efficacy theoretical framework. Findings Results indicate that fraud alert features are significantly associated with lower user satisfaction, contradicting the common belief that security innovations are universally beneficial. Users high in Openness experience less dissatisfaction by viewing alerts as learning opportunities, while those high in Neuroticism show stronger dissatisfaction due to anxiety and perceived competence threats. These personality effects are more pronounced in contexts with fewer likes and lower review activity. Originality/value This study is among the first to integrate personality psychology with self-efficacy theory to explain heterogeneous responses to security features in age-friendly software. It introduces a scalable LLM-based personality measurement method and highlights the need for personality-aware, context-sensitive design strategies to balance protection and satisfaction in digital aging solutions.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"19 1","pages":"1-23"},"PeriodicalIF":5.9,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of traceability information on consumer purchase behavior in e-commerce platforms","authors":"Mingqian Li,Rong Du,Andrew Burton-Jones,Jianing Xie","doi":"10.1108/intr-08-2025-1158","DOIUrl":"https://doi.org/10.1108/intr-08-2025-1158","url":null,"abstract":"Purpose Grounded in signaling theory, this study examines whether traceability information displaces or complements incumbent quality cues and contrasts the relative efficacy of blockchain-enabled traceability technologies with traditional systems. Design/methodology/approach This study analyzes 18 months of product-level sales data from a global e-commerce platform using a staggered difference-in-differences design with robustness checks. We apply latent Dirichlet allocation topic modeling to consumer reviews and use a synthetic difference-in-differences approach to examine shifts in consumer attention after traceability implementation. Findings Traceability information increases product sales, particularly for lower-reputation brands and diminishes the effect of electronic word-of-mouth, suggesting that diagnostic quality signals matter more than social information signals. Although blockchain-enabled traceability should enhance signal credibility, its observed impact falls short of expectations. Research limitations/implications The sample is limited to the automotive engine oil context in China. Future research should examine other categories and national contexts. Practical implications Platform managers and emerging brands can deploy low-cost traceability labels to boost demand. Blockchain solutions may require consumer education to justify higher implementation costs. Social implications Augmenting supply-chain transparency and product traceability curbs counterfeit and substandard goods, improves consumer welfare, and supports regulatory and sustainability objectives. Originality/value This study systematically assesses the substitutive and complementary roles of traceability signals in a multi-cue setting, tempers optimism about blockchain-enabled traceability and extends research on digital supply-chain transparency and signaling theory.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"28 1","pages":"1-24"},"PeriodicalIF":5.9,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How employees' AI use contributes to digital-enabled innovative performance","authors":"Liang Ma,Zhihao Qi,Xin Zhang,Feifei Hao","doi":"10.1108/intr-03-2025-0424","DOIUrl":"https://doi.org/10.1108/intr-03-2025-0424","url":null,"abstract":"Purpose This paper aims to examine the relationship between employees' use of artificial intelligence (AI) for work and digital-enabled innovative performance (DEIP) from the perspective of employee engagement and trust in AI. Based on these perspectives, this study identifies specific solutions for achieving high levels of DEIP. Design/methodology/approach Drawing on job demands-resources (JD-R) theory and analyzing data from 431 employees, this paper proposes a research model to investigate how employee AI use affects employees' DEIP through partial least squares structural equation modeling and highlights the configurations of causal conditions associated with DEIP through fuzzy-set qualitative comparative analysis (fsQCA). Findings The results show that AI use for work exerts the strongest positive impact on employees' behavioral engagement, followed by emotional and cognitive engagement. Employee engagement (three types mention before) play a partial mediating role between work-related AI and DEIP. Furthermore, both human-like and functionality trust in AI positively moderate the relationship between work-related AI and behavioral engagement. Finally, a total of four solutions leads to a high level of DEIP. Practical implications Organizations should enhance employees' engagement and trust in AI through training and supportive implementation strategies. Managers should adopt context-sensitive approaches that align AI use, engagement and trust to improve DEIP. Originality/value Firstly, this study enriches the literature on DEIP and JD-R theory by exploring the AI-performance link via employee engagement. Secondly, this paper supplements work-related AI literature by clarifying AI trust's boundary conditions. Thirdly, this paper contributes to the performance literature by identifying key solutions for DEIP from a configuration perspective.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"147 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is being human-like beneficial? The effect of anthropomorphism on chatbot persuasion in e-commerce","authors":"Mengru Yang, Xixian Peng, Qiuzhen Wang, Yuxiang Chris Zhao, Xinwei Wang","doi":"10.1108/intr-10-2023-0866","DOIUrl":"https://doi.org/10.1108/intr-10-2023-0866","url":null,"abstract":"<h3>Purpose</h3>\u0000<p> Chatbots are vital for enhancing e-commerce sustainability by providing efficient customer support. Although previous studies have considered both linguistic and visual anthropomorphism as crucial factors in e-commerce chatbot design, their joint effects and their underlying mechanisms have not been thoroughly investigated. Drawing on insights from the literature on anthropomorphism and the elaboration likelihood model, this research attempts to examine the joint effects of the two types of anthropomorphism, the boundary condition, and the subsequent impact on purchase intention.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p> A research model was proposed and empirically tested using two laboratory-controlled experimental studies.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p> Linguistic anthropomorphism plays a dominant role over visual anthropomorphism in influencing social presence and communicative effectiveness. In addition, linguistic anthropomorphism harms persuasion through the mediating role of communicative effectiveness, and the fit between linguistic and visual anthropomorphism amplifies the negative effect on purchase intention. Moreover, shopping motivation serves as a boundary condition for the negative effect of anthropomorphism.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p> Chatbot designers should be cautious when using anthropomorphism in e-commerce chatbot design. The use of machine-like languages may be more persuasive than that of human-like languages, especially for utilitarian products. Notably, mismatched anthropomorphic elements may harm user experience.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p> This study enriches chatbot literature by examining the role of chatbot anthropomorphism in the e-commerce context. Moreover, this study provides a more comprehensive framework for understanding how chatbots’ linguistic and visual anthropomorphism jointly influence consumer behavior.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"17 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of in-game situations and advertisement animation in eSports on visual attention, memory, brand attitude and behavioral intentions","authors":"Byungjae Min, Daehwan Kim, Yong Jae Ko","doi":"10.1108/intr-03-2024-0491","DOIUrl":"https://doi.org/10.1108/intr-03-2024-0491","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>The purpose of this study was to examine the effects of in-game situations (battle vs non-battle) and advertisement animation (static vs animated) on visual attention, memory, brand attitude and behavioral intention in eSports.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>A 2 (advertisement animation: static vs animated) × 2 (in-game situations: non-battle vs battle) between-subject factorial design was developed. Participants wearing eye trackers watched a 2-min-and-30-s stimulus featuring manipulated variables. Subsequently, they completed a questionnaire designed to measure variables.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>In-game situations significantly influenced visual attention, with non-battle contexts eliciting higher fixation duration and count. Moreover, fixation count positively affected both explicit and implicit memory. Additionally, implicit memory enhanced brand attitude, which in turn positively affected behavioral intention.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>These findings guide eSports event organizers and brand managers in optimizing advertisement placement. Advertisements should be positioned in non-battle situations, where visual attention is higher. Repeated brand exposure is more effective than prolonged single exposures for enhancing memory retention and brand attitude. Lastly, unobtrusive advertisement exposure is essential because implicit memory plays a key role in shaping consumer attitudes and behavioral intentions.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study advances eSports advertising research by identifying psychological mechanisms influencing consumer behavior. Moreover, the study extends the Limited Capacity Model of Motivated Mediated Message Processing (LC3MP) by demonstrating how cognitive resource allocation varies across in-game situations and advertisements. Furthermore, this research contributes to self-perception theory and the mere exposure effect by clarifying the distinct roles of explicit and implicit memory in shaping brand attitudes.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biases in online reviews: the default positive review rule and the conditional rebate strategy","authors":"Haiyuan An, Wenli Li, Yahe Yu, Zhen Wang","doi":"10.1108/intr-10-2023-0887","DOIUrl":"https://doi.org/10.1108/intr-10-2023-0887","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study examines how default bias, driven by the default positive review (DPR) rule – which automatically classifies reviews not provided by consumers within a specified period as positive – and rebate bias, associated with the conditional rebate strategy (CRS), where sellers offer rebates exclusively to consumers who submit positive reviews, distort the distribution of online product reviews over time and impact consumer satisfaction.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>A key aspect of our method lies in developing latent variable models that capture the relationship between biased online reviews and consumer satisfaction levels. By applying our models to a panel dataset from Taobao – a leading Chinese e-commerce platform – and using insights from online consumer feedback surveys, we assess the extent of the biases introduced by DPR and CRS in a given feedback system. A hierarchical regression model was employed to investigate the impact of the proposed biases on consumer satisfaction.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Consumers who have previously written online reviews experience satisfaction outcomes 72.9% of the time with DPR and up to 81.3% when CRS is included. Implementing DPR may boost product sales to some extent, but it would significantly amplify consumer dissatisfaction, whereas offering a rebate could effectively alleviate consumer discontent, even though the rebate is conditional.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>Our findings reveal the extent of biases introduced by CRS and DPR in online reviews and inform the consumer satisfaction debate regarding the phenomenon of excessive positive reviews resulting from these practices.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"39 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143589699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking the influence of perceived credibility of guaranteed data destruction service on digital device recycling platform use: the perspective of privacy calculus","authors":"Zhenya Tang, Leida Chen","doi":"10.1108/intr-01-2024-0033","DOIUrl":"https://doi.org/10.1108/intr-01-2024-0033","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Digital device recycling platforms (DDRPs) are customer-to-business online marketplaces that allow consumers to trade in or sell their used electronics, like smartphones and laptops, directly to a business for cash or credit. Guaranteed data destruction is a service provided by most DDRPs to securely erase all data on devices being recycled or traded in. Perceived credibility of the service refers to the extent to which customers are confident in the effectiveness and reliability of the service offered by a given DDRP. Grounded in privacy calculus theory, the current study aims to explore the influence of perceived credibility of guaranteed data destruction service (GDDS) on one’s intention to use a DDRP.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>An empirical study was conducted through an online survey of Chinese DDRP users. The proposed model was tested by analyzing the collected data using the structural equation modeling approach.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Our results indicate that perceived credibility of GDDS affects users’ intention to use DDRPs by decreasing privacy concerns and increasing perceived convenience and environmental benefits of these platforms.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>This study’s findings are based on data collected from Chinese DDRP users, which may limit the generalizability of the results to other cultural or market contexts.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>This study provides practical guidance for DDRPs, emphasizing the importance of enhancing perceived credibility through transparent data destruction practices and certifications.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>The findings of the current study offer implications for theory development in sustainable information technology and e-commerce as well as practical suggestions for increasing usage of DDRPs.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"7 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visiting and exploring digital transformation management: a bibliometric analysis and review study","authors":"Jyoti Choudrie, John Oredo, Amitabh Anand, Shruti Patil, Ketan Kotecha, Sheetal Kusal","doi":"10.1108/intr-12-2023-1152","DOIUrl":"https://doi.org/10.1108/intr-12-2023-1152","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to explore and understand the literature on digital transformation (DT) research that will lead to developing a conceptual and thematic structure of DT management.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The research approach employed a hybrid approach of bibliometric analysis and a structured review of DT management research studies from 2017 to 2023. Although systematic reviews and bibliometric analysis are distinct methods, they complement one another in research by enabling the synthesis and analysis of existing literature. Scopus and Web of Science (WoS) were selected as the bibliographic databases for this study since they are generally accepted as the most comprehensive data sources for various purposes.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Findings revealed 186 publications during these periods, with the top three publications being the <em>Journal of Business Research</em>, <em>Business Horizons and California Business Review</em>. Top-ranking researchers hailed from Germany, Japan and Spain. Keywords that appeared were innovation, digital transformation, artificial intelligence and DT. In the management area, there are fewer studies conceptualising DT management that led to this study forming a conceptual framework using a qualitative, interpretative and thematic analysis approach.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>These findings are relevant for understanding the phenomenon of DT and DT management. The study contributes to the emerging body of knowledge in management and DT.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"53 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the formation mechanism of self-leadership from the perspective of enterprise social media communication visibility","authors":"Junli Wang, Ling Yuan, Ruida Li","doi":"10.1108/intr-03-2024-0461","DOIUrl":"https://doi.org/10.1108/intr-03-2024-0461","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>In the current digital transformation era, guiding employees toward realizing self-leadership has become a critical strategy for enterprises to mitigate the risks of external uncertainty. This study explores the intrinsic relationship between enterprise social media (ESM) communication visibility and self-leadership on the basis of communication visibility theory (CVT) and conservation of resources theory (COR) to support the sustainable growth of employee self-leadership.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Data were collected from 332 Chinese employees across three stages. Hierarchical regression analysis and the bootstrap method were employed to test the hypotheses.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Network translucence and message transparency positively affect self-leadership. Relational energy and job control mediate the relationship between communication visibility and self-leadership. Moreover, response expectations weaken the positive relationship between relational energy and self-leadership as well as between job control and self-leadership.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>Managers can use ESM to provide work and social support for employees’ job control and social network development to achieve long-term maintenance of employees’ self-leadership. At the same time, within the context of ESM use, moderately reducing response expectations can offer situational support for employees to achieve self-leadership.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research sheds light on the internal mechanism by which ESM communication visibility affects self-leadership and explores the key boundary conditions that impact how self-leadership is formed. These findings expand the understanding of self-leadership development in the context of ESM use and offer new technical insights for guiding and fostering sustainable employee self-leadership.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"16 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of emotional expressions on the popularity of discussion threads: evidence from Reddit","authors":"Mahdi Abouei, Nima Kordzadeh, Maryam Ghasemaghaei, Bilal Khan","doi":"10.1108/intr-12-2023-1187","DOIUrl":"https://doi.org/10.1108/intr-12-2023-1187","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Users contribute to online communities by posting and responding to discussion threads. Nonetheless, only a small fraction of threads gain popularity and shape community discourse. Prior studies have identified several factors driving thread popularity; however, despite their prevalence, the role of emotional expressions within discussion threads remains understudied. This study addresses this gap by investigating the impact of thread starters’ valence and embedded discrete emotions of anger, anxiety and sadness on thread popularity, drawing on the negativity bias and the emotion-as-social-information theories.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Using two samples from Reddit, this study employs negative binomial regression analysis to examine the hypothesized relationships.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results demonstrate that negativity in thread starters significantly influences thread popularity; however, the expression of discrete emotions impacts popularity variously. In some contexts, such as COVID-19 vaccination subreddits, embedded anger in thread starters decreases thread popularity, whereas anxiety and sad expressions enhance it. In other contexts, such as professional discussions (e.g. r/Medicine subreddit), anger and anxiety expressions increase thread popularity, while sad expressions have no significant influence.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>The study is limited by its focus on specific emotions and contexts. Future research could examine a broader range of emotions, post-content modalities and the impact of cultural and linguistic differences.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study contributes to theory by offering a new definition of thread popularity and enhancing our understanding of the impact of emotions in online discussions. It also provides practical implications for online community members and moderators seeking to promote discussion posts that help achieve community goals.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"23 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}