用户新闻信息浏览行为和感知价值研究

随着互联网技术的发展,用户信息行为的研究越来越受到重视,浏览行为是用户信息行为的重要组成部分,浏览行为的研究对提升用户体验具有重要意义.以今日头条用户为研究对象,基于顾客感知价值理论,使用访谈法与问卷调查法相结合的方法,探索影响用户浏览新闻的行为的因素.研究发现,用户在移动端浏览新闻场景下,只有实用价值对新闻浏览行为正...     

Internet uses and gratifications: A survey in the Indian context

Uses and gratifications (U&G) theory, aids in the assessment of peoples’ motivations for media usage, access and to understand their attitude towards a particular medium. In this paper this theory has been applied to derive the Internet gratification structure of Internet users in the Indian context. This study proceeds in four stages. First, six gratifications for Internet use namely self development, wide exposure, user friendly, relaxation, career opportunities, and global exchange were identified using the exploratory factor analysis. Then the factors were subjected to confirmatory factor analysis. Next with the use of t-tests the study identified the gratifications on which males and females differ significantly. Finally, with the use of discriminant analysis it has been shown that the light and heavy users of Internet differ on some of the gratification factors obtained in the study.     

Smartphone Information Displays When Reading News in Persian and English Languages

By their nature, smartphones must have small screens, and that is one of their limitations. Many users have trouble reading information on the Internet on such small screens because Internet browsers are usually designed for computers that have larger screens than smartphones. This study evaluates the usability of alternative user interfaces when reading news articles on smartphones. An experiment was conducted involving 120 smartphone users who were asked to evaluate six types of user interfaces based on three methods (pop-up, full-screen, and auto-zooming) and two display orientations (horizontal, vertical) in one of two languages (English and Persian). The participants were assigned four typical tasks that users must perform to obtain information from the Internet, that is, finding, refinding, reading, and browsing; they were asked to conduct the tasks in random order. In addition, a questionnaire was used to measure the efficiency and effectiveness of the participants’ completion of the tasks, as well as their satisfaction, compatibility, and enjoyment of the undertakings. The results indicated that method, orientation, and language affected the actual usage and the time used. Based on the human factor experiment, the full-screen method was preferred in refinding and reading, whereas the pop-up method was preferred in browsing and finding. In terms of orientation, the vertical mode was preferred, and each user’s performance in the vertical mode was better in all tasks except browsing. Of interest, using the English language turned out to be more satisfying, enjoyable, and efficient to the Persian users who did the experiment in English as their second language.     

Gratifications and Seeding Behavior of Online Adolescents

Several studies indicate that only a small minority of Web 2.0 users actively participates, while the minority do not contribute at all. This article investigates whether a similar division applies for adolescents' Internet behavior. Using Szuprowicz’ (1995) typology of interactivity, we distinguish different types of user‐generated content (UGC): media, narrative, and metadata UGC. Our results show a 20%–80% division between high‐ and low‐frequency seeders. Furthermore, we utilize the uses‐and‐gratifications paradigm to investigate how these high‐ and low‐frequency seeders differ in their overall gratifications obtained by WWW use. Although the gratifications' rank orders are identical for all groups, their magnitudes differ significantly. Finally, this article focuses on how these WWW gratifications can predict seeding, while controlling for socio‐demographics and usage frequency.     

一种融合读者心情要素的新闻推送方法

互联网技术的飞速发展增强了用户与网络新闻间的交互性,使得网络新闻不仅包含传统的新闻内容和时间信息,还包含读者心情等交互信息。如何充分挖掘新闻特性,为用户提供便捷的浏览体验已逐渐成为新闻相关领域的研究热点。为方便用户通过输入查询词和心情浏览感兴趣的新闻,该文在考虑新闻的传统特性的同时,融合读者心情要素,提出一种全新的新闻推送方法。该方法重点研究依据读者心情的新闻排序算法,并考虑新闻内容与用户查询的主题相关性,以及新闻重要程度随时间衰减的特性,最终实现一种全新的新闻推送模式。基于所提方法,该文设计了一个融合读者心情要素的新闻推送系统,验证了该方法的有效性。     

基于用户浏览日志的上下文相关新闻推荐

个性化新闻推荐的难点在于用户在浏览新闻时目的性不强,容易受各种环境因素的影响,导致其浏览行为难以预测。以往的研究仅仅强调推荐内容相关的或者和用户长期兴趣相匹配的新闻,忽视了环境因素的影响。为此,需要研究上下文相关的新闻推荐算法。具体做法是从用户的浏览日志中提取上下文相关特征,然后训练一个Logistic回归模型来预测用户接下来最可能阅读的新闻。真实数据上的实验结果表明,上下文相关新闻推荐方法效果明显好于传统方法,也验证了上下文信息对用户浏览行为的重要影响。     

An investigation of the impact of demographics on cyberloafing from an educational setting angle

In the current study, the impact of demographics on cyberloafing behaviors are investigated in educational settings. Correlational study method was utilized. There are 282 high schools students in the study. Two instruments, demographic information and cyberloafing questionnaires, are used to collect data. Demographic information are gender, grade, Internet skills, Internet usage and Internet experience. Cyberloafing behaviors are personal business, news follow-up and socialization. Findings indicate that males cyberloaf more than females. Advanced-expert users cyberloaf more than novice-intermediate users. Those who uses internet everyday cyberloaf more than other people using internet less often. Nine years more experience in internet experience increase cyberloafing behaviors. The relationships between demographics and different types of cyberloafing are also analyzed for deep understanding. The dominance of male cyberloafing diminishes in socialization behaviors. Internet skills is only associated with socialization. The results are discussed, and recommendation for further studies are presented.     

基于微博用户模型的个性化新闻推荐

新闻推荐是互联网推荐系统的研究热点之一,传统的新闻推荐方法是在新闻网站内,通过记录用户浏览的新闻来实现推荐应用。然而,许多新闻网站并不强制要求用户必须注册才能浏览新闻。微博作为目前最主流的自媒体形式,它由用户自己发起或传递,进而实现草根媒体的职能。对新闻进行高效组织并使用微博进行新闻推荐,这是之前研究欠缺的。该文通过提出基于微博分析的新闻推荐,提出了基于新闻和微博本身特点的解决方法,从而实现微博和新闻的关联。实验表明,该文设计的各模块具备较高的效率和实用效果。     

The effects of gratifications on intention to read citizen journalism news: The mediating effect of attitude

This paper investigates gratifications of reading citizen journalism news by applying the research model drawn from the uses and gratifications approach, and the cognitive–affective–conative framework. Based on the uses and gratifications literature and the cognitive–affective–conative framework, the effects of gratifications on attitude (i.e., affective) and intention (i.e., conative) are examined. The indirect effects of gratifications on intention to read news (i.e., conation) through the interpretation of affection that users experienced are also examined. Using a survey conducted across nearly 300 users, the results show that all gratifications, except for escape, have direct effects on attitude. However, none of the gratifications has a direct effect on intention. The proposed model shows that attitude mediates the path between the effects of all gratifications and intention. The model explains a high percentage of variance with gratifications explaining about 46% of the variance in attitude. However, their effects on intention are limited when attitude is controlled.     

Branding with social media: User gratifications,usage patterns,and brand message content strategies

The emergence of social media provides a new platform for developing brand–consumer relationships. The aim of the current study is to examine the differences in Chinese users’ gratifications of different social media and the impact of brand content strategies on the quality of brand–consumer communication via social media. In the first study, 209 SNS and 161 microblog users were surveyed. Five dimensions of social media gratifications emerged from the factor analysis. Significant differences in the strengths of gratifications were found between SNS and microblog users. Usage patterns of SNS and microblog are analyzed and compared. In the second study, we examined the impact of users’ gratification and the type of social media on the effectiveness of different brand content strategies through a two-week experiment involving 60 SNS users and 61 microblog users. Implications for developing branding strategies on different social media platforms are discussed.     

Internet browsing application based on electrooculography for disabled people

This paper describes an Internet browsing application based on electrooculography (EOG) aimed at people with a severe motor disability, i.e., people who cannot move their arms. This application is made up of two subsystems: writing and browser. It allows the user to navigate through Internet introducing text, clicking on active elements and moving around the screen using only their eyes. It also includes a word predictor to increase navigation speed. An EOG algorithm is capable of detecting four different directions of the users’ eyes movement: left, right, up and down, and the blink. With these five commands, the user has full control of the application. Six healthy volunteers tested the Internet browsing application by performing three different tests that consisted of writing, searching and mouse controlling tasks. The results show that all users are capable of completing the whole tests in a reasonable time and they improve their speed with training. These results suggest that the Internet browsing application could be used by disabled people, improving their integration in the information society.     

基于用户浏览行为分析的用户兴趣度计算

从用户的浏览行为可以反映用户的兴趣出发,分析了用户的浏览行为与兴趣之间的关系,通过分析把能反映用户兴趣的典型浏览行为归纳为保存页面、打印页面、将页面加入收藏夹、复制页面内容、访问同一页面的次数和在页面上浏览时间这些浏览行为.针对这些浏览行为下的用户兴趣度计算做出阐述,并且在分析基于网页驻留时间和浏览次数计算网页兴趣度的算法的基础上,考虑网页大小的影响因素,使用基于浏览速度计算网页兴趣度,同时利用BP神经网络进行用户兴趣度融合.     

浅析数字水印技术在新闻发布系统中的应用

为了发布信息及时,便于用户快速浏览,开发了一个新闻发布系统信息化平台。该系统采用Visual Studio 2010与Sql Server2008进行开发,基于B/S架构。系统采用了一个关键技术——数字水印技术,将数字水印直接嵌入到新闻发布系统图片信息中,是新闻图片版权保护的重要手段。     

Researching Recent U.S. Legislation Using Free Sites on the Internet

Abstract

This study investigates the effects of gender, college status, and prior Internet experience on the use of Internet resources. The subjects were 96 patrons randomly selected from those using the Internet terminals at the University Library of the University at Albany, SUNY, during the first two months of 1995. We found that the majority of users shared the following characteristics: they are male undergraduates affiliated with the social sciences and are novice users who have less than six months experience. Respondents felt strongly that the Internet is useful, and has been an important resource for their research and assignments. Users have high expectations of searching capabilities, while they feel neutral or disappointed with browsing. Our findings indicate that libraries should provide access to the Internet. They also suggest that libraries should take the lead in developing searchable indexes and making info-bases better organized for the ease and effectiveness of browsing.     

Diversified users’ satisfaction with advanced mobile phone features

Mobile phones are widely used all over the world, and with their increasing number of value-added features, they are becoming far more than a mere mobile voice communication device. Rather, they provide a powerful platform for accessing information universally. This paper reports a study which scrutinized users’ preference levels with five new mobile phone design features facilitating universal information access through mobile phones: camera, colour screen, voice-activated dialling, Internet browsing, and wireless connectivity (e.g. Bluetooth, infrared, etc.). The survey study involved college students and investigated the degree to which each of the above features impacts the users’ overall satisfaction and enhances the potential of mobile phones to contribute to different aspects of universal access. Our results show that colour screen, voice-activated dialling, and Internet browsing feature can strongly predict users’ satisfaction level, and their preference levels together account for 22.7% of the variance of the users’ overall satisfaction. Users’ satisfaction levels are significantly different between models with colour screen feature and those without, and models with Internet browsing features and those without. Since mobile phone design needs to accommodate the needs and preferences of diversified user groups, the performed study also investigated the difference in users’ preference levels of the five new features for different ethnic groups, and difference in mobile phone owned by different genders. The result indicates that Asian female users in the U.S. market have higher preference level on colour screen feature than Caucasian female users. Significantly higher percentage of male users own phones with camera, Internet browsing, and wireless connectivity features than female users. The empirical study reported in this paper provides a comprehensive picture of how new design features can enhance the mobile phone as a universal access device, and what impact they have brought about. It can also help manufacturers adopt a universal design perspective in view of the differences in preference levels of users with different ethnicity and genders.     

B-CWB: Bilingual Comparative Web Browser Based on Content-Synchronization and Viewpoint Retrieval

We propose a new way of browsing bilingual web sites through concurrent browsing with automatic similar-content synchronization and viewpoint retrieval facilities. Our prototype browser system is called the Bilingual Comparative Web Browser (B-CWB) and it concurrently presents bilingual web pages in a way that enables their contents to be automatically synchronized. The B-CWB allows users to browse multiple web news sites concurrently and compare their viewpoint of news articles written in different languages (English and Japanese). Our viewpoint retrieval is based on similar and different detection. We described categorizing pages in terms of viewpoint: the entire similarity, the content difference, and subject difference. Content synchronization means that user operation (scrolling or clicking) on one web page does not necessarily invoke the same operations on the other web page to preserve similarity of content between the multiple web pages. For example, scrolling a web page may invoke passage-level viewpoint retrieval on the other web page. Clicking a web page (and obtaining a new web page) invokes page-level viewpoint retrieval within the other site's pages through the use of an English-Japanese dictionary.     

Development of an Adaptive EC Website With Online Identified Cognitive Styles of Anonymous Customers

This study developed an adaptive electronic commerce (EC) website based on users' cognitive styles without asking users to complete any evaluation forms. In this system, a multilayer feed forward neural network (MLFF) was designed to identify the cognitive styles of anonymous users by observing their browsing behavior. Then the system presented the adaptive interfaces, designed by investigating the relationships between users' cognitive styles and browsing behavior, to users based on the identified cognitive styles. Experiments were conducted to evaluate the effectiveness of the system. The experimental results verified the potential benefits of MLFF in identifying anonymous users' cognitive styles during browsing of EC applications and provided evidence that an adaptive EC website that presents product data consistent with the users' cognitive styles can be beneficial to one-to-one Internet marketing not only for users whose cognitive styles are known before browsing but also for anonymous users whose cognitive styles are identified during browsing.     

A web content manipulation technique based on page Fragmentation

Web portals today offer a variety of content and services to their users. This content can be split into various categories and usually content semantically related is placed in the same area. In this paper, a software technique is presented that allows the viewers of web sites to build their own personalized portals, using specific areas of their preferred sites. This technique saves users’ time and reduces the cost of browsing the web by minimizing the volume of data that has to be downloaded. It is based on an algorithm, which fragments a web page in discrete fragments using the page's internal structure. Users utilize a web interface to define which parts of selected web pages they desire to appear in their personalized portal. No additional software needs to be installed on the users’ personal computers, since this technique is designed to function centrally as a data source for a Web Server. In addition, usage of this technique reduces user perceived latency during browsing sessions, since less data must be transferred to users’ personal computers.     

A semantic-expansion approach to personalized knowledge recommendation

The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural trends for all businesses. This is particularly important for content-related products and services, such as consulting, news, and knowledge management in an organization. The digital nature of their products allows for more customized delivery over the Internet. To provide personalized services, however, a complete understanding of user profile and accurate recommendation are essential.In this paper, an Internet recommendation system that allows customized content to be suggested based on the user's browsing profile is developed. The method adopts a semantic-expansion approach to build the user profile by analyzing documents previously read by the person. Once the customer profile is constructed, personalized contents can be provided by the system. An empirical study using master theses in the National Central library in Taiwan shows that the semantic-expansion approach outperforms the traditional keyword approach in catching user interests. The proper usage of this technology can increase customer satisfaction.     

Examining the Effects of Passive WeChat Use in China

ABSTRACT

Passive usage of social network services (SNSs) refers to individuals’ browsing behavior and information consumption without active interaction with other SNS users. Using the data collected from 295 users of WeChat, the most popular SNS in China, the authors identify two types of passive use and test their different consequences. Confirmatory factor analysis in Study 1 shows passive WeChat use includes two subdimensions, namely, passive social and nonsocial use. Passive social use means browsing friends’ posts, whereas passive nonsocial use refers to browsing information on WeChat official accounts. The partial least squares structural equation modeling results in Study 2 suggest that both social and nonsocial use have positive effects on users’ social capital and online well-being, and further increase their continuance usage of SNSs. However, passive social use is also associated with users’ depressed mood, which in turn decreases their continuous usage intention. Theoretical and practical implications are discussed.