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In this volatile and increasingly fast-revolving world, it has become crucially important to monitor, measure and manage nation image and its dynamic changes in real time. However, few studies have been conducted on a model to measure the image and/or its changes. The purpose of this paper is to find an economically affordable methodology to measure nation image and its changes online in real time.

The study took an approach to build dynamic ontology that may reflect to change nation image in real-time. With it, the authors attempted to measure nation image in real time.

Among many social media, the authors found that Wikipedia is particularly suitable for the purpose of measuring nation image. An ontology of nation image was built from the keywords collected from the pages directly related to the big three exporting countries in East Asia, i.e. Korea, Japan and China. The click views on the pages of the countries in two different language editions of Wikipedia, Vietnamese and Indonesian were counted.

The study confirms the objective: the data from a social media service, Wikipedia, may work very well as an economically affordable real-time supplement to offline nation image indices that are currently used.

This article of part 1 of a two part series on wikis. Part 1 focuses on wikipedia.

The article is prepared by a library professional and provides a summary of the main features.

A wiki is a piece of server software that allows users to freely create and edit web page content using any web browser. Wiki supports hyperlinks and has a simple text syntax for creating new pages and crosslinks between internal pages on the fly.

This article is a useful summary of a development of interest to library and information management professionals.

The world's most popular noncommercial website is built on five pillars, which include an assumption of good faith and ensuring all points of view are included in every encyclopedia article. How does this pan out in the day-to-day reality of fake news and the ever-growing climate of post-truth? How apt are mechanisms established by Wikipedia over a decade ago in the face of unreliable news sources and beliefs based on gut feelings and emotions rather than verifiable evidence? Active editors of Wikipedia firmly believe that this open online encyclopedia and other wikis operating under the same value system are lifeboats for truth seekers in a post-truth society. The mechanisms established over many years for sharing open knowledge through this online platform are even more useful now than they may have been in previous times, even though this too is understandably debatable.

The purpose of this paper is to present the results of a usability study of information search on mobile devices, seeking to understand mobile computing best practice in the design of library services.

Three second‐year undergraduate students took part in this semester long study. They are loaned iPods with a Wikipedia copy to use as desired. Usability data are drawn from search logs recording titles of the articles searched and an internet‐based survey completed by students.

Students characterize the nature of information searched for on the Wikipedia iPods as recreational. Students did not utilize the iPods for academic research. Search logs show students viewed articles primarily about objects.

The results of this paper do not show generalized principles of mobile search. More data collected from additional sets of users are needed in order to articulate principles of mobile search.

If it is the case that students will primarily make use of mobile computing for recreational or leisurely purposes then library services on mobile computing platforms must be designed accordingly.

The paper presents methods for the study of information search though mobile computing and poses questions resulting from this paper that require further study.

The authors introduce two semantics-based navigation applications that facilitate information-seeking activities in internal link-based web sites in Wikipedia. These applications aim to help users find concepts within a topic and related articles on a given topic quickly and then gain topical knowledge from internal link-based encyclopedia web sites. The paper aims to discuss these issues.

The WNavi s application consists of three information visualization (IV) tools which are a topic network, a hierarchy topic tree and summaries for topics. The WikiMap application consists of a topic network. The goal of the topic network and topic tree tools is to help users to find the major concepts of a topic and identify relationships between these major concepts easily. In addition, in order to locate specific information and enable users to explore and read topic-related articles quickly, the topic tree and summaries for topics tools support users to gain topical knowledge quickly. The authors then apply the k-clique of cohesive indicator to analyze the sub topics of the seed query and find out the best clustering results via the cosine measure. The authors utilize four metrics, which are correctness, time cost, usage behaviors, and satisfaction, to evaluate the three interfaces. These metrics measure both the outputs and outcomes of applications. As a baseline system for evaluation the authors used a traditional Wikipedia interface. For the evaluation, the authors used an experimental user study with 30 participants.

The results indicate that both WikiMap and WNavi s supported users to identify concepts and their relations better compared to the baseline. In topical tasks WNavi s over performed both WikiMap and the baseline system. Although there were no time differences in finding concepts or answering topical questions, the test systems provided users with a greater gain per time unit. The users of WNavi s leaned on the hierarchy tree instead of other tools, whereas WikiMap users used the topic map.

The findings have implications for the design of IR support tools in knowledge-intensive web sites that help users to explore topics and concepts.

The authors explored to what extent the use of each IV support tool contributed to successful exploration of topics in search tasks. The authors propose extended task-based evaluation measures to understand how each application provides useful context for users to accomplish the tasks and attain the search goals. That is, the authors not only evaluate the output of the search results, e.g. the number of relevant items retrieved, but also the outcome provided by the system for assisting users to attain the search goal.

The purpose of this paper is to present the results of a usability study which inquired into undergraduate student information seeking with Wikipedia on the iPod touch.

Data are drawn from iPod search logs and student survey responses. Search log data are coded with FRBR subject entities (group 3 entity sets) for analysis.

Students characterize the overall nature of information searched for with the Wikipedia app to be for recreational and for short factual information. Recreational searching as a way in which undergraduate students utilize mobile technology is an earlier finding of Wikipedia iPod usage, and is verified as a trend of undergraduate student search using the iPod. All undergraduate student participants of the Wikipedia app on a mobile interface report this tool as helping to become more efficient in their research. Students viewed Wikipedia articles about people and concepts more so than other article types.

Undergraduate student mobile search log analysis over a specific type of information resource on the iPod Touch is an original usability project. Previous mobile search log analysis analyzes thousands of unknown users and millions of anonymous queries, where the devices used for searching are not always identifiable and trends about touch screens cannot be ascertained.

The evolution of Wikipedia betrays an increasing reliance on policies and guidelines, signalling certain stabilisation in the knowledge making processes underlying the encyclopaedia. We interpret such a state of affairs as reflecting the need to provide a few principles and guidelines of coordination, in a context that has otherwise been marked by vast diversity, high membership turnover and the lack of traditional exploitative structures. Rather than reflecting bureaucratisation and a shift away from its constitutive principles, the consolidation of these coordinative mechanisms further embeds the distinctive profile of knowledge making processes characteristic of the online encyclopaedia. They reinforce the diversity of the collective (rather than individual capabilities and skills) as the primary source of knowledge and render the mechanisms of harvesting that diversity and assembling it to a reasonable knowledge output key means of social learning.

The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log.

First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted.

News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction.

This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

This chapter addresses the current state of librarian participation in the global lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) Wikipedia engagement efforts and proposes an extended librarian advocacy to advance LGBTQ+ rights and concerns. The author provides a brief history of global LGBTQ+ Wikipedia engagement, librarian involvement in Wikipedia, and librarian participation in global LGBTQ+ Wikipedia initiatives. In the process, the author examines the underrepresentation and invisibility of librarians in global LGBTQ+ Wikipedia engagement efforts and Wikipedia initiatives in general, as well as the barriers that librarians face in becoming active Wikipedian librarians. Based on a review of the literature, the analysis of data gathered from Wikipedia, and the author’s own experiences as an LGBTQ+ Wikipedian librarian, the author recommends strategies for librarians to advocate for and include global LGBTQ+ Wikipedia engagement in their professional practice.