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To construct web visibility profiles of news web sites by examining hyperlinks pointing to the sites.

National newspapers from USA (USA Today), Canada (The Globe and Mail), China (People's Daily) as well as Hong Kong (Sing Tao Daily) were selected for the study. A total of 1,859 links pointing to the four news sites were manually classified into the four aspects of language, country, types of sites, and reasons or purposes for linking.

A comparison of the four news sites provided useful information on their web visibility. The Globe and Mail seemed to have a larger international reach than USA Today. Neither newspaper web site attracted links from China or from pages in the Chinese language. Outside China, People's Daily, an official Chinese Government newspaper, is not as visible as Hong Kong based Sing Tao Daily. USA Today and The Globe and Mail were used more for news citing or reprinting purposes while People's Daily seemed to be used more as a research resource.

Link analysis like this provides us with only an indirect view of the online readership and the methodology has limitations. Not all readers create links to the newspaper sites that they visit. Readers could be led to a news site through other venues including “social bookmarking” services.

The study shows that link analysis is a novel and useful method that journalists and information professionals can use to gauge online readership and potential impact of news sites.

Presented a novel method that complements but not replaces other web user studies such as web server log analysis.

Partisan news media, which often publish extremely biased, one-sided or even false news, are gaining popularity world-wide and represent a major societal issue. Due to a growing number of such media, a need for automatic detection approaches is of high demand. Automatic detection relies on various indicators (e.g. content characteristics) to identify new partisan media candidates and to predict their level of partisanship. The aim of the research is to investigate to a deeper extent whether it would be appropriate to rely on the hyperlinks as possible indicators for better automatic partisan news media detection.

The authors utilized hyperlink network analysis to study the hyperlinks of partisan and mainstream media. The dataset involved the hyperlinks of 18 mainstream media and 15 partisan media in Slovakia and Czech Republic. More than 171 million domain pairs of inbound and outbound hyperlinks of selected online news media were collected with Ahrefs tool, analyzed and visualized with Gephi software. Additionally, 300 articles covering COVID-19 from both types of media were selected for content analysis of hyperlinks to verify the reliability of quantitative analysis and to provide more detailed analysis.

The authors conclude that hyperlinks are reliable indicators of media affinity and linking patterns could contribute to partisan news detection. The authors found out that especially the incoming links with dofollow attribute to news websites are reliable indicators for assessing the type of media, as partisan media rarely receive links with dofollow attribute from mainstream media. The outgoing links are not such reliable indicators as both mainstream and partisan media link to mainstream sources similarly.

In contrast to the extensive amount of research aiming at fake news detection within a piece of text or multimedia content (e.g. news articles, social media posts), the authors shift to characterization of the whole news media. In addition, the authors did a geographical shift from more researched US-based media to so far under-researched European context, particularly Central Europe. The results and conclusions can serve as a guide how to derive new features for an automatic detection of possibly partisan news media by means of artificial intelligence (AI).

The peer review history for this article is available at the following link: https://publons.com/publon/10.1108/OIR-10-2020-0441.

The World Wide Web has become an essential platform for a news publication, and it has become one of the primary sources of information dissemination in the past few years. Electronic media, i.e., television channels, magazines and newspapers, have started publishing news online. This online information is prompt to be disappeared because of short life-span and imperative to be archived for the long-term and future generations. This paper presents a content-based similarity measure based on the headings of the news articles for linking digital news stories published in various newspapers during the preservation process that helps to ensure future accessibility.

To evaluate the accuracy and assess the effectiveness and worth of the proposed measure for linking news articles in Digital News Story Archive (DNSA), we adopted both, system-centric and user-centric (human judgment) evaluation over different datasets of news articles.

The proposed similarity measure is evaluated using different sizes of datasets, and the results are compared by both user-centric technique, i.e., expert judgment and system-centric techniques, i.e., cosine similarity measure, extended Jaccard measure and common ratio measure for stories (CRMS). The comparison helps to get a broader impact and can be helpful for generalization of the measure for different categories of news articles. Multiple experiments have conducted the findings of which showed that the measure presented viable results for national and international news, while best results for linking sports news articles during preservation based on headings.

The DNSA preserves a huge number of news articles from multiple news sources and to link with a vast collection, which encourages to introduce an efficient linking mechanism with few terms to manipulate. The CRMS is modified to deal with the headings of news articles as a part of the digital news stories preservation framework and comprehensively analysed.

The Internet and World Wide Web offer a rapidly increasing quantity of valuable resources on Asia‐specific information. In view of the vast scope of the Asian countries and the fast proliferation of good sites, this article offers only a sampling of valuable Internet resources as starting points for further exploration. It covers meta sites, Asian search engines, library resource pages, and electronic journals and newspapers. The first part of this paper includes the Internet sites of Asian studies, the second part contains selected East Asian country resources from China, Hong Kong, Japan, Korea and Taiwan, and the third part presents the leading Asian electronic journals and newspapers. Preference was given to comprehensive sites on countries or regions that have been the focus of recent academic study and research. All the sources are in English and some of them contain bilingual or multilingual versions.

Residents of South Florida have been living with the effects of climate change in the form of flooding due, in part, to sea level rise, for more than a decade. However, previous research has characterized news coverage of climate change impacts as concerning distant events in terms of time and place. In this study, we look at coverage of climate change at The Miami Herald from 2011-2015, a time period significant in terms of increased temperatures and flooding levels on city streets. Through a content analysis of 167 articles, this study argues that news coverage of climate change in The Miami Herald was largely pragmatic, linked to a news peg, locally focused and presented via opinion pieces rather than news articles. Furthermore, Miami Herald coverage links distant hypotheses of climate change with local realities, invokes a network of editorial responses, and emphasizes local impacts, particularly in more affluent areas. Findings from this study contribute to understanding how news coverage of climate change as a local story may provide a useful model for engaging the public in adapting to and mitigating against the impact of climate change, and creating social acceptance of climate change policy.

The purpose of this paper is to develop a conceptual framework to understand the influence that the social era is having on the value chain of the local news industry. The authors theoretically advance value chain theory by, firstly, considering the influence of community type and age on consumption and, secondly, exploring the role that consumers can play in value-adding activities. The theoretical contribution of this study lies in moving from a transactional approach towards consumer relationships in the value chain towards managing consumers as a source of relational value (e.g. co-creation and integrated perspectives).

The conceptual framework is theoretically positioned in relation to community and digital community practices in the social era. A series of research questions are presented, then these questions are explored drawing on empirical data from the Pew database. The authors then advance the framework further to consider news firm strategy towards its consumers. Fifteen in-depth executive interviews were conducted with local news organizations in the Manchester area of the UK.

The authors illustrate that different types of communities (merging cohorts and locations) are influencing levels of technological and social connectivity within the value chain. The authors also found that the news industry is experimenting with reconfiguring its consumer relations from a purely transactional to a co-created and participatory value-added activity in the social era. In terms of its policy impact, the findings in this paper show that the whole strategic value chain ideology of the news industry needs to change radically; away from its largely transactional (and lack of trust) approach in the ability of consumers to create value in the supply chain (other than to buy a product) and, move towards much greater consumer involvement and participation in value chain processes (creation, production and distribution of news products and services).

The change associated with social media and connectivity is changing the way that different community types and consumer groups are now consuming and participating in news content creation. Unlike previous studies, the authors show that there is variance and complexity in the levels of consumer participation by community type/age group. Using the Pew data, the authors contribute to knowledge on the value creation strategy of news firms in the social era, by identifying how communicative, social and communicative logics influence value and co-creation activities in the local news supply chain. Through interviews, the authors advance value co-creation theory from its strategic and marketing origins to operational and supply chain implementation.