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International students make valuable educational and economic contributions in higher education institutions (HEIs) all across the world. They contribute to the diversity and add different perspective in classrooms. Attracting international students is one of the objectives of HEIs. International students being present all over the world access information about the university online. Hence, all the relevant information must be available on the HEI website. Institutions are also present on social media platforms for interaction purposes. The owned media, including website, social media, discussion forums, etc. of institutions must be regularly monitored and analysed. Equally important is to analyse what students are discussing online about institutions, that is, what are their sentiments. This chapter is an attempt to develop a guide for HEI to draw the interest of international students for an institution through web analytics and social listening. Web analytics will help in understanding the behaviour of the visitor to the HEI website. Key performance indicators that will help in achieve the objective of attracting international students will be identified. On the other hand, analysing social listening on different platforms will help in understanding international students’ perspectives towards a specific institution.

It seems that the Internet boom, which started at the end of the 1990s and finished with the spectacular collapse of the so-called dotcoms, is probably over. We are currently enjoying a period of fast and stable growth. This is manifested by the growing number of both Internet users and companies which – to an ever-increasing extent – use the Internet as a form of communication (both internal and external), promotion, sales etc. Expenditures on Internet advertising are growing continuously and now constitute more than 25% of all advertising expenditure. A natural consequence of this development is the need for the standardisation and organisation of the world of the Internet. These activities will result in a greater awareness of the benefits which this medium provides, increasing the possibilities of its use, and – most importantly – the opportunity to evaluate the return on investments made on the Internet. Nowadays, it is clear that many companies are striving to increase the quality of their activities on the Internet or to improve the effectiveness of such activities. As a consequence, the number of companies that look for indices which would enable the making of more precise and effective decisions in the scope of online operations is growing.

This chapter is dedicated to the phenomenon of the increasing role of the Internet in business, including the scale of its use by Polish and international companies. We present the most commonly used measures of marketing activities on the Internet and in social media. This group includes the indices which make it possible to determine whether a company actually needs a website. Other measures allow for the improvement in the effectiveness of the activity on the Internet, whereas others specify the costs of activities on the Internet and often serve as the basis for settlements between a company and advertising agencies or companies specialising in website design. It is worth emphasising that the Paid, Earned, Shared, Owned (PESO) model, worked out by Don Bartholomew,¹ is the basis for creation and description of indices concerning social media. This model has gained certain popularity in the social media industry. It does not, however, specify how individual indices should be named and calculated. It maps already existing indices and adapts them to specific levels of marketing communication measurement. All the measures indicated by the author of the model have been grouped into five major areas: exposure, engagement, brand awareness, action and recommendations. This model– similarly to all models of performance measurement – inspired by the sales funnel concept, adjusts certain standard indices and proposals of measurements for specific levels. Additionally, the measures are divided into four types, depending on who the owner of the content is: Paid (P) – refers to all forms of paid content; Owned (O) – all websites and web properties controlled by a company or brand; Earned (E) – the contents about a given brand created spontaneously by Internet users; and Shared (S) – the contents shared by Internet users.

To outline the current trajectories in digital social research and to highlight the roles of qualitative research in those trajectories.

A secondary analysis of the primary literature.

Qualitative research has shifted over time in relation to rapidly changing digital phenomena, but arguably finds itself in ‘crisis’ when faced with algorithms and ubiquitous digital data. However, there are many highly significant qualitative approaches that are being pursued and have the potential to contextualize, situate and critique narratives and practices of data.

To situate current debates around methods within longer trajectories of digital social research, recognizing their conceptual, disciplinary and empirical commitments.

Social media tools are in increasing use across higher education and Twitter hashtags, live blogs, Facebook events, and Flickr groups are becoming a regular feature of academic conferences and event. In this chapter the author reflects on the experience of planning, moderating, and analyzing social media amplification of the 2009 Beyond the Repository Fringe event. Based upon this experience several important issues regarding social media usage are considered and a series of practical guidelines for planning amplification of higher education events are proposed.

The changing communication environment transforms social media as a source for obtaining competitive intelligence on rival firms through “social espionage.” This conceptual chapter discusses how the competitive information in the Web, along with the trend of corporate transparency, has created both opportunity and risk for firms in social media. Among the opportunities, we discuss (1) tactical marketing campaigns, (2) encouraging switching behavior, (3) identifying and targeting competitors’ weak points, and (4) learning from their success and failure. On the other hand, we discuss how engaging in social media results in a loss of total control in the dialogue between a firm and its customers and, ultimately, leaves a firm vulnerable to the same opportunistic tactics it may leverage in order to draw benefit from a competitor’s social media presence. Finally, we provide some recommendations aimed at reacting to social espionage in the form of a strategic grid.

This chapter seeks to understand the intersection between eGovernment, social media, and digital inequalities by examining the disparate flow of information during the COVID-19 pandemic. Developed economies are increasingly transitioning to digital interfaces for information dissemination and provision of services. The authors explore the potential of, and challenges facing eGovernment by looking at the use of social media during the COVID-19 pandemic. This chapter employs a case study approach to probe the dynamics of government-initiated efforts at information dissemination through the Center for Disease Control and Prevention’s (CDC) website and social media account on Twitter. The analysis in this chapter uses NodeXL to examine communication roles played by government and non-governmental actors within this slice of the Twittersphere centered around CDC@gov. As the findings demonstrate, non-governmental actors played key roles in the dissemination of public health messaging. The authors analyze these data with an eye to the potential of social media for public health communication and extrapolate that understanding to the use of digital access and social media for the provision of accurate, official information in other circumstances. While the COVID-19 pandemic was a global health crisis, individuals and households face individual or local crises every day. This angle of vision allows the chapter to conclude with recommendations pertaining to government-led information dissemination for the public good during crisis and non-crisis situations alike. In the concluding section, the authors probe the degree to which eGovernment can also address digital inequalities including connectivity, device, and literacy gaps. The authors offer solutions needed for eGovernment initiatives in light of challenges posed by digital inequalities to ensure that digital information sharing and services are accessible to all.

The present chapter aims to assess how digital transformation impacts current trends in city branding, to analyze the role of digital communication in the branding of selected cities, and to compare the level of exploitation of digital communication for city branding between European and Slovak cities. We conducted empirical research in several phases, and the overall sample consists of 155 cities in Europe and Slovakia. The results of our research showed that European and Slovak cities use to some extent all the investigated tools of digital marketing communication in city branding with a dominant position of social media, both in terms of exploitation and importance for city branding in European and Slovak cities. European cities score significantly better than Slovak cities in all elements of the City Brand Hexagon, as well as in the overall city brand index. Therefore, city branding strategies in the best European cities can serve as a good practice example or inspiration for Slovak cities. Cities with lower rankings and scores on city branding should focus on strengthening their city branding or strengthening their digital communication. The possible trajectory is also the concerted strategy for the branding of the city and its digital communication.