Search results

The purpose of this paper is to identify the measures employed in the provision of patron services in Chinese academic libraries responding to the COVID-19 pandemic, noting the challenges and issues inherent in providing substantial services while undergoing a public health emergency.

This paper uses an analytical survey study of 137 Chinese academic libraries using data collected through a combination of website investigation, social media access and direct correspondences.

Over 94% of Chinese academic libraries released COVID-19-related information through their websites; the majority switched their service focus to partly or solely remotely online, including remote access, free electronic resources, virtual references reachable 24/7 and research support services deliverable online; services of print materials were altered to e-books for conveniences.

It should be noted that the survey was conducted from February 12 to April 5, 2020; because of the rapid updates to the library's website and social media channels, the status of their patron services are in the process of dynamic changes and that there should be many libraries that have adopted some patron service methods, but this study is difficult to cover comprehensively. In addition, patron services carried out offline by the surveyed libraries but not disclosed on the online platform could not be analyzed in a way that would be consistent with the data provided by the survey.

By providing evidence of the current status of patron services in Chinese academic libraries during the COVID-19 pandemic, this study helps fulfill the scant empirical attention given to the impact of nationwide public health crises on academic libraries and offers new data of the best practices that help library administrators enhance the impact, efficiency and value of library services to their target community users.

The purpose of this paper is to add to the literature by exploring how curvilinear manifestations of user engagement can be explained in the setting of fashion-oriented social media.

This study analyses how ten Swedish fashion brands have been integrated in expressions of user engagement in social media. In total, a material of 11,173 user-generated contents from different types of social media applications over a period of 12 weeks was collected and analysed.

The results of this paper show that user engagement fluctuates considerably over time in social media. It also shows that the degree of engagement varies between different forms of social media applications.

This study contributes to the literature on fashion marketing and user engagement by adding empirical support for the suggestion that expressions of engagement found in social media are curvilinear in their nature. It also concludes that highly involved and engaged users, instead of being brand activists, tend to be variety seekers in the studied setting that when taken together represents an emerging managerial challenge for the fashion industry and particularly fashion firms.

The era of globalization has increased the challenges for multinational corporations (MNCs) to retain legitimacy. In striving for legitimacy, MNCs increasingly engage in dialogue processes with their stakeholders. However, the era of globalization and the parallel rise of the Internet and the new “Web 2.0” have dramatically widened the range of options for such dialogue processes. Non-governmental organizations (NGOs) in particular make use of “social media” (e.g., Facebook, Weblogs, Twitter) which enable them to quickly generate attention regarding socially and environmentally harmful business practices by MNCs. In response, MNCs have started applying social media technologies for corporate communication purposes. However, given the novelty of these activities, we lack knowledge on how these organizations make use of social media. Therefore, in this chapter, we examine how MNCs and NGOs utilize one particular social media application, that is, Twitter, for dialogic stakeholder communication.

In our empirical study, we examine current practices of Twitter usage by MNCs and NGOs. We investigate a dataset of more than 3,000 Twitter articles from 30 MNCs and 30 NGOs in the German-speaking world. Our analysis is based on the “conceptual orality or literality” scale by Koch and Oesterreicher (1994).

The comparative analysis shows that on average MNCs and NGOs exhibit a surprisingly similar profile on Twitter. Both tend toward conceptual literality. However, the analysis of Tweets per organization reveals a much larger variance. At the extreme poles, while some NGOs (like Greenpeace Youth) make extensive use of the medium’s potential for conceptual orality, some MNCs (like Deutsche Börse) almost entirely adhere to conceptual literality. In other words, these MNCs promote a classical one-way model of communication and fail to make use of the dialogue-like qualities of the medium.

We analyzed a small number of organizations and we restricted our study to MNCs and NGOs in the German-speaking world. Furthermore, Twitter only allows for short messages with a maximum of 140 letters or signs. This, in turn, renders questionable whether the medium is suited to establish deliberative dialogues between MNCs and NGOs that are based on more elaborate arguments which can be expressed in the short format.

Our study addresses the lack of research regarding new possibilities for stakeholder communication in the age of social media. Moreover, the study methodologically contributes to the study of social media in the context of corporate communication by applying the scale of “conceptual orality or literality” to MNCs’ and NGOs’ Twitter usage.

This chapter analyses the Norwegian Twitter-sphere during and in the aftermath of the terrorist attack in Norway on 22 July 2011. Based on a collection of 2.2 million tweets representing the Twitter-sphere during the period 20 July–28 August 2011, the chapter seeks answers to how the micro-blogging services aided in creating situation awareness (SA) related to the emergency event, what role hashtags played in that process and who the dominant crisis communicators were. The chapter is framed by theories and previous research on SA and social media use in the context of emergency events. The findings reveal that Twitter was important in establishing SA both during and in the aftermath of the terrorist attack, that hashtags were of limited value in this process during the critical phase, and that unexpected actors became key communicators.

The job market for communication majors increasingly expects those graduating in these specializations to not only know how to create strategic plans for using social media in both one-way and two-way communication environments, but also maintain proper social media etiquette and virtual culture norms for their clients. To better prepare students for this expectation, two faculty members at separate universities designed and implemented a course assignment intended to promote cross-university collaboration, foster discussion, and bring students to use microblogging via Twitter. This assignment was designed so that it would not only have the students construct the meaning and best practices in a social setting using social media, but also encourage them to experience Twitter from a user perspective while building relationships in a manner that their future employers may have to work with their publics or customers. Overall, the educators involved in this project did feel that it was a beneficial assignment for students in both classes. While the students may not appreciate the assignment while it is being conducted, many of them have expressed the value in it now that the assignment is completed.

The purpose of this paper is to analyze the reasons that plagiarism in online literature is so hard to control in China, and it will conclude with a clear solution for the future.

This paper begins its research with the statistics and analysis of plagiarism data and a review of expert interviews regarding online literature publishing. All of these data materials were collected from anti-plagiarism platforms, online literature websites, news report websites and judiciary office websites.

The paper provides empirical insights into why the plagiarism is so rampant in the publishing of online literature in China. It suggests that the current task of controlling network literature plagiarism is arguably created by the literary production platform, which leads to the problem of the validity of the “self-monitoring model.” In fact, controlling plagiarism must be emphasized by means of external monitoring, because strict supervision and various external punitive measurements for committing plagiarism can force literature-generating platforms to strengthen their own internal monitoring.

Online plagiarism occurs almost constantly, but it rarely results in court cases over copyright because of the lack of a robust copyright ecology in China. This paper considers large amounts of data and cases from self-publishing media platforms.

The paper includes implications for the development of plagiarism management in online literature publishing from the publishing Association, media and government.

This paper suggests to online literature users that plagiarism will be controlled when certain active measures against it are taken. The authors hope that this view will promote the development of original online literature.

This paper points out that China must strengthen supervision that comes from outside the online literature generate platforms to control the current rampant plagiarism that occurs on these platforms.

Timely detection of emergency events and effective tracking of corresponding public opinions are critical in emergency management. As media are immediate sources of information on emergencies, the purpose of this paper is to propose cross-media analytics to detect and track emergency events and provide decision support for government and emergency management departments.

In this paper, a novel emergency event detection and opinion mining method is proposed for emergency management using cross-media analytics. In the proposed approach, an event detection module is constructed to discover emergency events based on cross-media analytics, and after the detected event is confirmed as an emergency event, an opinion mining module is used to analyze public sentiments and then generate public sentiment time series for early warning via a semantic expansion technique.

Empirical results indicate that a specific emergency can be detected and that public opinion can be tracked effectively and efficiently using cross-media analytics. In addition, the proposed system can be used for decision support and real-time response for government and emergency management departments.

This paper takes full advantage of cross-media information and proposes novel emergency event detection and opinion mining methods for emergency management using cross-media analytics. The empirical analysis results illustrate the efficiency of the proposed method.

The proposed method can be applied for detection of emergency events and tracking of public opinions for emergency decision support and governmental real-time response.

This research work contributes to the design of a decision support system for emergency event detection and opinion mining. In the proposed approaches, emergency events are detected by leveraging cross-media analytics, and public sentiments are measured using an auto-expansion of the domain dictionary in the field of emergency management to eliminate the misclassification of the general dictionary and to make the quantization more accurate.

Owing to the large amount of information available on Twitter (a micro blogging service) that is not necessarily true or believable, credibility of news published in such an electronic channel has become an important area for investigation in the field of web credibility. This paper aims to address this issue.

A system was developed to measure the credibility of news content published in Twitter. The system uses two approaches to assign credibility levels (low, high and average) to each tweet. The first approach is based on the similarity between Twitter posts (tweets) and authentic (i.e. verified) news sources. The second approach is based on the similarity with verified news sources in addition to a set of proposed features.

The evaluations of the two approaches showed that assigning credibility levels to Twitter tweets for the first approach has a higher precision and recall. Additional experiments showed that the linking feature has its impact on the second approach results.

The proposed system is experimental; thus further experiments are needed to prove these findings.

This paper contributes to the research on web credibility. It is believed to be the first which provides a proposed system to evaluate the credibility of Twitter news content automatically.

Customer service provision is a growing phenomenon on social media and parcel shipping companies have been among the most prominent adopters. This has coincided with greater interest in the development of analysis techniques for unstructured big data from social media platforms, such as the micro-blogging platform, Twitter. Given the growing use of dedicated customer service accounts on Twitter, the purpose of this paper is to investigate the effectiveness with which parcel shipping companies use the platform.

This paper demonstrates the use of a combination of tools for retrieving, processing and analysing large volumes of customer service-related conversations generated between parcel shipping companies and their customers in Australia, UK and the USA. Extant studies using data from Twitter tend to focus on the contributions of individual entities and are unable to capture the insights provided by a holistic examination of the interactions.

This study identifies the key issues that trigger customer contact with parcel shipping companies on Twitter. It identifies similarities and differences in the approaches that these companies bring to customer engagement and identifies the opportunities for using the medium more effectively.

The development of consumer-centric supply chains and relevant theories require researchers and practitioners to have the ability to include insights from growing quantities of unstructured data gathered from consumer engagement. This study makes a methodological contribution by demonstrating the use of a set of tools to gather insight from a large volume of conversations on a social media platform.

The purpose of this paper is to investigate how companies make use of social media communication to turn crises into opportunities and how consumers respond to this brand management strategy, and evaluate the effects of this kind of advertising campaign.

This study uses the textual analysis method to examine the verbal fight between two brand competitors on Sina Weibo. An interpretative analysis approach is adopted to analyze a series of micro-blog messages and relevant responses and comments. A statistical analysis is conducted to reveal the public opinion on this case.

The brand crisis due to trademark dispute has been successfully turned into an advertising campaign, which received eager and favorable responses from the consumers. In the name of making apologies, the company in crisis availed itself of the Weibo platform to make a veiled protest against the verdict of the Court. The technique “acting cute” was proved to be effective in diminishing the negative effect of a brand crisis and winning public sympathy and support.

The research findings may provide insights into the interplay between brand advertising and corporate crisis communication on the platform of social media.

This study can inform practitioners of useful techniques to deal with brand crises via social media.

The value of this study lies not only in its contribution to the body of knowledge on online crisis management with a case of Chinese companies, but also in its validation of the interplay between crisis communication and advertising.