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1.
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
2.
This study extended the scope of previous findings in human–computer interaction research within the computers are social
actors paradigm by showing that online users attribute perceptions of moral qualities to Websites and, further, that differential
perceptions of morality affected the extent of persuasion. In an experiment (N = 138) that manipulated four morality conditions (universalist, relativist, egotistic, control) across worldview, a measured
independent variable, users were asked to evaluate a Web site designed to aid them in making ethical decisions. Web sites
offered four different types of ethical advice as participants contemplated cases involving ethical quandaries. Perceptions
of the Web sites’ moral qualities varied depending on the type of advice given. Further, the Web sites’ perceived morality
and participants’ worldview predicted credibility, persuasiveness, and attitudes toward the Web sites. 相似文献
3.
《Information processing & management》2019,56(4):1425-1438
This paper extracted discrete emotions from online reviews based on an emotion classification approach, and examined the differential effects of three discrete emotions (anger, fear, sadness) on perceived review helpfulness. We empirically tested the hypotheses by analyzing the “verified purchase” reviews on Amazon.com. The findings of this study extend the previous research by suggesting that product type moderates the effects of emotions on perceived review helpfulness. Anger embedded in a customer review exerts a greater negative impact on perceived review helpfulness for experience goods than for search goods. Fear embedded in a review is identified as an important emotional cue to positively affect the perceived review helpfulness with more persuasive messages. As the level of sadness embedded in a review increases, perceived review helpfulness decreases. These findings contribute to a better understanding of the important role of emotions embedded in reviews on the perceived review helpfulness. This study also provides practical insights related to the presentation of online reviews and gives suggestions for consumers regarding how to select and write a helpful review. 相似文献
4.
On exploring the impact of users’ bullish-bearish tendencies in online community on the stock market
《Information processing & management》2020,57(5):102209
The online financial community enables non-professional individual investors to express opinions, share information and even spread emotions through the Internet. This paper uses 5,178,824 comments published in an online financial community to study the users’ bullish-bearish tendencies on the stock market. To that end, we propose a convolutional neural network based classifier to extract users’ tendencies from their comments, and introduce the distributed lag model and the GARCH model to investigate the impact of users’ tendencies on market volatility and market returns. The results show that the online users’ bearish tendencies are reflected in stronger market volatility and higher market returns, and the consistency of online users’ tendencies has a positive impact on market volatility. 相似文献
5.
从信息需求、信息行为、服务期望三方面明确了旅游用户的需求,采用实证研究方法对旅游平台在线交流服务的现状进行了分析,揭示了在用户个性化需求环境下旅游平台在线交流服务存在的不足,提出了利用Web挖掘技术、同步虚拟社区技术、短信推送技术等来完善在线交流服务的对策与建议,并从增强用户旅游体验的角度提出了创新性的研究观点。 相似文献
6.
Instagram and other photo-based social networking sites have emerged as a popular medium. Previous studies mainly focused on social media texts, but the current study deals with the relationships between the characteristics of Instagram users and the features of their photos. The Big Five personality traits and gender were employed as the variables for user characteristics. Content category, the number of faces, the emotions on the faces, and the pixel derived features were employed as the variables for photo characteristics. An online survey of 179 university students was conducted to measure user characteristics, and 25,394 photos in total were downloaded and analyzed from the respondents’ Instagram accounts. Results suggested that content category is associated with extraversion and gender of users. The number of faces is associated with extraversion, agreeableness, and openness of users. Extraversion, agreeableness, and openness of users were partly associated with emotions expressed on the faces in their photos. Correlations were observed among some pixel features and extraversion, agreeableness, conscientiousness, and gender of users. It was also observed that the Big Five personality traits, except for gender, can be predicted by above variables. Implications and limitations are discussed and suggestions for future research are suggested. 相似文献
7.
Online shared spaces are destinations where people of common interests interact to achieve common goals or borrow each other's expertise for personal pursuits. Due to a multitude of users, such spaces generate large amounts of content, thus creating a potential for information overload. To deal with it, users of online shared spaces develop information management strategies that frequently involve the use of information technology. In this paper we present a case study of the use of widgets as information management tools in uCern, an online shared workspace where healthcare industry stakeholders get involved in various types of interactions. To understand how widgets served the purpose of information management and whether they were considered useful, we administered an online questionnaire (n = 183) followed by qualitative interviews (n = 5). Data analysis revealed that study participants used widgets as tools that promoted their situation and activity awareness of events and activities going on in uCern and helped them with organizing and accessing the content in a quick and efficient manner. We also describe issues associated with the use of widgets and their usefulness as reported by participants and propose implications for design and development of online shared spaces in relation to information management tools. 相似文献
8.
Automatic word spacing in Korean remains a significant task in natural language processing owing to the extremely complex word spacing rules involved. Most previous models remove all spaces in input sentences and insert new spaces in the modified input sentences. If input sentences include only a small number of spacing errors, the previous models often return sentences with even more spacing errors than the input sentences because they remove the correct spaces that were typed intentionally by the users. To reduce this problem, we propose an automatic word spacing model based on a neural network that effectively uses word spacing information from input sentences. The proposed model comprises a space insertion layer and a spacing-error correction layer. Using an approach similar to previous models, the space insertion layer inserts word spaces into input sentences from which all spaces have been removed. The spacing error correction layer post-corrects the spacing errors of the space insertion model using word spacing typed by users. Because the two layers are tightly connected in the proposed model, the backpropagation flows are not blocked. As a result, the space insertion and error correction are performed simultaneously. In experiments, the proposed model outperformed all compared models on all measures on the same test data. In addition, it exhibited reliable performance (word-unit F1-measures of 94.17%～97.87%) regardless of how many word spacing errors were present in the input sentences. 相似文献
9.
Kirsten Martin 《Ethics and Information Technology》2012,14(4):267-284
Within a given conversation or information exchange, do privacy expectations change based on the technology used? Firms regularly require users, customers, and employees to shift existing relationships onto new information technology, yet little is known as about how technology impacts established privacy expectations and norms. Coworkers are asked to use new information technology, users of gmail are asked to use GoogleBuzz, patients and doctors are asked to record health records online, etc. Understanding how privacy expectations change, if at all, and the mechanisms by which such a variance is produced will help organizations make such transitions. This paper examines whether and how privacy expectations change based on the technological platform of an information exchange. The results suggest that privacy expectations are significantly distinct when the information exchange is located on a novel technology as compared to a more established technology. Furthermore, this difference is best explained when modeled by a shift in privacy expectations rather than fully technology-specific privacy norms. These results suggest that privacy expectations online are connected to privacy offline with a different base privacy expectation. Surprisingly, out of the five locations tested, respondents consistently assign information on email the greatest privacy protection. In addition, while undergraduate students differ from non-undergraduates when assessing a social networking site, no difference is found when judging an exchange on email. In sum, the findings suggest that novel technology may introduce temporary conceptual muddles rather than permanent privacy vacuums. The results reported here challenge conventional views about how privacy expectations differ online versus offline. Traditionally, management scholarship examines privacy online or with a specific new technology platform in isolation and without reference to the same information exchange offline. However, in the present study, individuals appear to have a shift in their privacy expectations but retain similar factors and their relative importance??the privacy equation by which they form judgments??across technologies. These findings suggest that privacy scholarship should make use of existing privacy norms within contexts when analyzing and studying privacy in a new technological platform. 相似文献
10.
Dingtao Zhao Feng Wang Jiuchang Wei Liang Liang 《International Journal of Information Management》2013
This study explores how online comments influence public reactions to organizational crisis discourses based on five scenarios depicting typical online comment patterns. Through an empirical study involving 621 participants, several key findings are obtained. First, online comments have a significant effect on post-crisis reactions involving emotions, attitudes and behavioral intentions. However, except in the case of perceived comment manipulation, public reaction patterns associated with overwhelmingly positive and non-overwhelmingly positive comments are not significantly different and are friendlier to the crisis organization than the other three patterns. Moreover, reactions associated with the pattern in which there are no online comments are quite similar to those associated with the pattern of non-overwhelmingly negative comments. Second, positive emotions enhance perceived organizational integrity, whereas negative emotions reduce this perception. Third, perceived comment manipulation has a negative moderating effect on the relationship between positive emotion and perceived organizational integrity and a positive moderating effect on the relationship between negative emotion and perceived organizational integrity. Finally, emotions and perceived organizational integrity are found to be predictors of loyalty and boycott intentions. The findings of the study extend the present knowledge on crisis communication by highlighting the impact of online comments on the post-crisis reactions of the public and also provide crisis managers with guidelines on how to deploy appropriate crisis communication strategies. 相似文献
11.
《Information processing & management》2016,52(1):115-128
One of the major reasons why people find music so enjoyable is its emotional impact. Creating emotion-based playlists is a natural way of organizing music. The usability of online music streaming services could be greatly improved by developing emotion-based access methods, and automatic music emotion recognition (MER) is the most quick and feasible way of achieving it. When resorting to music for emotional regulation purposes, users are interested in the MER method to predict their induced, or felt emotion. The progress of MER in this area is impeded by the absence of publicly accessible ground-truth data on musically induced emotion. Also, there is no consensus on the question which emotional model best fits the demands of the users and can provide an unambiguous linguistic framework to describe musical emotions. In this paper we address these problems by creating a sizeable publicly available dataset of 400 musical excerpts from four genres annotated with induced emotion. We collected the data using an online “game with a purpose” Emotify, which attracted a big and varied sample of participants. We employed a nine item domain-specific emotional model GEMS (Geneva Emotional Music Scale). In this paper we analyze the collected data and report agreement of participants on different categories of GEMS. We also analyze influence of extra-musical factors on induced emotion (gender, mood, music preferences). We suggest that modifications in GEMS model are necessary. 相似文献
12.
When public catalog users enter queries that exactly match the catalog's controlled vocabulary, online systems should respond with browsing lists of alphabetically arranged subject headings, because such displays guide users to retrievals based on the assignment of the matched subject headings to bibliographic records. Unfortunately, studies of online catalog searching demonstrate that alphabetical displays are no longer capable of managing large numbers of subdivided forms of subject headings, because searchers exhibit low levels of perseverance when faced with large numbers of retrievals. This paper introduces a new approach to displaying retrieved subject headings in subject searching—the exact-display approach—designed to encourage users to browse bibliographic information. The purpose of this paper is to emphasize the importance of the exact-display approach by showing how many user queries would be candidates for this approach, demonstrate an implementation of the exact-display approach in an experimental online catalog, and feature end-user experiences with this approach as implemented in the experimental catalog. End-user experiences gave the authors the opportunity to make several recommendations for enhancing the original design of the exact-display approach so that future implementations of this approach in operational online catalogs are responsive to the needs of online catalog users. 相似文献
13.
《Journal of The Franklin Institute》2019,356(16):9344-9363
In the present study, a novel technique is suggested for the adaptive non-linear model predictive control based on the fuzzy approach in three stages. In the presented approach, in the first stage, the prediction and control horizons are obtained from a fuzzy system in each control step. Another fuzzy system is employed to determine the weight factors before the optimization stage of developing new controller. The proposed controller gives the parameters of the model predictive control (MPC) in each control step in order to improve the performance of nonlinear systems. The proposed control scheme is compared with the traditional MPC and Generic Model Control for controlling MED-TVC process. The performances of the three proposed controllers have been investigated in the absence and presence of disturbance in order to evaluate the stability and robustness of the proposed controllers. The results reveal that the novel adaptive controller based on fuzzy approach performs better than the two other controllers in set-point tracking and disturbance rejection with lower IAE criteria. In addition, the average computational time for the adaptive MPC exhibits a decline of 34% in comparison with the traditional MPC. 相似文献
14.
《International Journal of Information Management》2016,36(4):520-530
The research on users as a source of innovation has been coming into blossom and the studies about the effect of users’ lead userness on their innovation-related activities are drawing more and more attention from both academic and business circles. However, there have been few empirical studies exploring the relationship between users’ lead userness and their innovation-related knowledge sharing behavior in the context of online user community and the mediating effects of users’ social capital and their perceived behavioral control on this relationship. By empirically analyzing the 140 data collected from an online user community that is used as an important source of innovation for a company with the structural equation modeling analysis through the partial least squares method, this study reveals that users’ lead userness has a positive relationship with their innovation-related knowledge sharing in the online user community and users’ social capital and perceived behavioral control jointly and fully mediate this positive relationship. Based on the new findings, this study is expected to provide useful implications which can contribute to widening and deepening the research stream about the effect of users’ lead userness on their innovation-related knowledge sharing in the online user community. 相似文献
15.
【目的/意义】分析用户对博物馆数字化服务的体验满意度及影响因素,为提升博物馆数字化、智慧化建设提
供科学参考。【方法/过程】首先采集博物馆用户评论,构建数字化服务方面词词库,抽取方面级语句,然后使用
BERT-wwm-ext模型（F1=95.47%,Acc=95.36%）对方面级语句进行情感分类,最后根据分类结果对用户体验影响
因素进行分析。【结果/结论】将博物馆数字化服务用户体验划分为5个方面（预约、验证、导览、讲解、展示）,分析发
现用户对数字展示服务和网络预约服务满意度最高,对数字讲解服务满意度最低,并归纳了影响用户体验满意度
的12项主要因素。【创新/局限】将方面级情感分析应用到了公共文化服务领域。提出了基于内容抽取和深度学习
的方面级情感分析模型,通过迁移学习有效降低了模型对方面级标注数据的依赖性,同时对用户评论中的隐式情
感也具有较好的识别效果。 相似文献
16.
随着社会经济的飞速发展,网络已成为人们生活中不可缺少的一部分,网络渗透到人们生活的方方面面,网络教学、网络聊天、网络购物以及网络游戏等都有力地说明了这一点。在教育事业高速发展的现代社会,利用网络教学已成为不可阻挡的趋势,网络技术的发展为高职思政教学开辟了新的路径。网络是一把双刃剑,在给高职思政教学提供便利的同时,也带来了巨大的挑战。因此,如何正确利用网络为教学工作服务是当前我们需要思考的问题。本文就网络环境中高职思政教学的路径选择分析进行探索。 相似文献
17.
总体而言,我国的英语学习第二课堂在各个高校均未被很好地利用起来,即使仅有的一些第二课堂活动,往往也是华而不实,个体化特征不明显。在网络时代的现如今,英语学习也应该与之紧密结合。本文围绕Skype网络英文交际展开教学实践,调查分析了受试学生的实践感觉,同时就这批学生的英文综合能力变化访谈了其所任外教,最终进行相关分析,得出相应结论。 相似文献
18.
Minh-Tien Nguyen Viet Cuong Tran Xuan Hoai Nguyen Le-Minh Nguyen 《Information processing & management》2019,56(3):495-515
In the context of social media, users usually post relevant information corresponding to the contents of events mentioned in a Web document. This information posses two important values in that (i) it reflects the content of an event and (ii) it shares hidden topics with sentences in the main document. In this paper, we present a novel model to capture the nature of relationships between document sentences and post information (comments or tweets) in sharing hidden topics for summarization of Web documents by utilizing relevant post information. Unlike previous methods which are usually based on hand-crafted features, our approach ranks document sentences and user posts based on their importance to the topics. The sentence-user-post relation is formulated in a share topic matrix, which presents their mutual reinforcement support. Our proposed matrix co-factorization algorithm computes the score of each document sentence and user post and extracts the top ranked document sentences and comments (or tweets) as a summary. We apply the model to the task of summarization on three datasets in two languages, English and Vietnamese, of social context summarization and also on DUC 2004 (a standard corpus of the traditional summarization task). According to the experimental results, our model significantly outperforms the basic matrix factorization and achieves competitive ROUGE-scores with state-of-the-art methods. 相似文献
19.
Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor
Analyzing and extracting insights from user-generated data has become a topic of interest among businesses and research groups because such data contains valuable information, e.g., consumers’ opinions, ratings, and recommendations of products and services. However, the true value of social media data is rarely discovered due to overloaded information. Existing literature in analyzing online hotel reviews mainly focuses on a single data resource, lexicon, and analysis method and rarely provides marketing insights and decision-making information to improve business’ service and quality of products. We propose an integrated framework which includes a data crawler, data preprocessing, sentiment-sensitive tree construction, convolution tree kernel classification, aspect extraction and category detection, and visual analytics to gain insights into hotel ratings and reviews. The empirical findings show that our proposed approach outperforms baseline algorithms as well as well-known sentiment classification methods, and achieves high precision (0.95) and recall (0.96). The visual analytics results reveal that Business travelers tend to give lower ratings, while Couples tend to give higher ratings. In general, users tend to rate lowest in July and highest in December. The Business travelers more frequently use negative keywords, such as “rude,” “terrible,” “horrible,” “broken,” and “dirty,” to express their dissatisfied emotions toward their hotel stays in July. 相似文献
20.
《Information processing & management》2023,60(3):103320
We propose a CNN-BiLSTM-Attention classifier to classify online short messages in Chinese posted by users on government web portals, so that a message can be directed to one or more government offices. Our model leverages every bit of information to carry out multi-label classification, to make use of different hierarchical text features and the labels information. In particular, our designed method extracts label meaning, the CNN layer extracts local semantic features of the texts, the BiLSTM layer fuses the contextual features of the texts and the local semantic features, and the attention layer selects the most relevant features for each label. We evaluate our model on two public large corpuses, and our high-quality handcraft e-government multi-label dataset, which is constructed by the text annotation tool doccano and consists of 29920 data points. Experimental results show that our proposed method is effective under common multi-label evaluation metrics, achieving micro-f1 of 77.22%, 84.42%, 87.52%, and marco-f1 of 77.68%, 73.37%, 83.57% on these three datasets respectively, confirming that our classifier is robust. We conduct ablation study to evaluate our label embedding method and attention mechanism. Moreover, case study on our handcraft e-government multi-label dataset verifies that our model integrates all types of semantic information of short messages based on different labels to achieve text classification. 相似文献