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Social media is noted for its usefulness and contribution to destination marketing and management. Social media data is particularly valued as a source to understand issues such as tourist behavior and destination marketing strategies. Among the social media platforms, Twitter is one of the most utilized in research. Its use raises two issues: the challenge of obtaining historical data and the importance of qualitative data analysis. Regarding these issues, the chapter argues that retrieving tweets using hashtags and keywords on the Twitter website provides a corpus of tweets that is valuable for research, especially for qualitative inquiries. In addition, the value of qualitative analysis of Twitter data is presented, demonstrating, among other things, how such an approach captures in-depth information, enables appreciation and inclusion of the nonconventional language used on social media, distinguishes between “noise” and useful information, and recognizes information as the sum of all parts in the data.

Social media provides researchers with easy access to rich, real-time data that offers insight into both public opinion and the role of social media in public life. However, to date, good practice in analyzing social media has been led by what is technically possible and commercially viable. This chapter seeks to reverse that trend and is the result of a year-long study ‘Wisdom of the Crowd’ by Ipsos MORI, Demos, the University of Sussex and CASM Consulting to examine the ethical landscape surrounding aggregated social media research. Based on a review of the legal and market research regulatory landscape in the UK and a program of primary research with experts, members of the public and social media users, this chapter provides a series of constructive and practical recommendations on how to improve ethical standards in this field. Drawing on the context of public ethics, the recommendations provide advice to researchers, regulators, and social media organizations on how they can help to restore trust in social media research and better safeguard social media users.

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.

This paper introduces two methodological innovations for qualitative research. We apply these innovations to holistically understand youth peer cultures and improve participant-driven qualitative methodology.

It moves the methodological frontier forward by blending technology with the “go-along” approach used by ethnographers to prioritize participants’ perspectives and experiences within their socio-cultural contexts.

We introduce the youth-centered and participant-driven virtual tours, including a neighborhood tour using Google Maps designed to explore how youth navigate their socio-spatial environments (n = 64; 10–17 year-olds; 2013) and a social media tour designed to explore how youth navigate their networked publics (n = 50; 10–17 year-olds; 2013), both in relation to their local peer cultures.

Applicable to a wide range of research populations, the Google Maps tour and the social media tour give the qualitative researcher additional tools to conduct participant-driven research into youths’ socio-cultural worlds. These two innovations help to address challenges in youth research as well as qualitative research more broadly. We find, for example, that the “go-along” aspect of the virtual tour minimizes the perceived threat of the researcher’s adult status and brings youth participants’ perspectives and experiences to the center of inquiry in the study of local peer cultures.

Organizational legitimacy is a central concept in institutional theory and in the more recent stream of communicative institutionalism. Within this scholarship, there exists an elaborated understanding of how macro-level actors, such as news media, influence individual judgments at the micro-level through a top-down communication process. However, little is known about the upward process by which individual propriety judgments influence validity judgments of news media at the macro-level. In this paper, we propose that this upward process of the legitimacy loop is facilitated by the degree to which expressed propriety judgments by individuals create thematic broadness, which bridges stand-alone conversations. Through a study investigating a post-scandal phase in the financial sector, we show how propriety judgments in social media become pre-validated at the meso-level prior to their validation by news media at the macro-level. The presented theoretical framework and empirical insights based on time-series regression analysis provide new knowledge about the multilevel process of organizational legitimacy formation in a digital age and extend our understanding of how a consensus is revealed at the meso-level.

This chapter examines the structure and sentiment of the Twitter response to Nathan Broad's naming as the originator of an image-based sexual abuse incident following the 2017 Australian Football League Grand Final. Employing Social Network Analysis to visualize the hierarchy of Twitter users responding to the incident and Applied Thematic Analysis to trace the diffusion of differing streams of sentiment within this hierarchy, we produced a representation of participatory social media engagement in the context of image-based sexual abuse. Following two streams of findings, a model of social media user engagement was established that hierarchized the interplay between institutional and personal Twitter users. In this model, it was observed that the Broad incident generated sympathetic and compassionate discourses among an articulated network of social media users. This sentiment gradually diffused to institutional Twitter users – or Reference accounts – through the process of intermedia agenda-setting, whereby the narrative of terrestrial media accounts was altered by personal Twitter users over time.

Institutions and organizations are increasingly using the digital media to communicate with stakeholders on a day-to-day basis and during crisis situations. Therefore, this chapter presents a bibliographic analysis on digital corporate communication technologies. The grounded theory’s inductive approach was used to capture and interpret the findings from Scopus-indexed publications. The articles were scrutinized in their entirety, including their research questions, methodologies and interpretation of the findings. Afterwards, this contribution identifies the opportunities and challenges that emerged during an unprecedented coronavirus (COVID-19) outbreak. In conclusion, it implies that there is scope for institutions and organizations to incorporate digital and social media in their crises’ communications and risk management plans. This will enable them to be in a better position to engage in credible and transparent dialogic communications with different stakeholders.

The purpose of the chapter is to overview the sociological literature related to social media and digital technologies in sport, with particular attention to media representations, content production, and audience responses. The chapter examines how social media and digital technologies reproduce and challenge hegemonic representation strategies, while maintaining existing cultural norms in the industry. Further, the chapter evaluates how athletes and fans create digital communities to bring visibility to marginalized groups. Finally, the chapter considers the potential of digital media for social justice and advocacy.

The chapter synthesizes existing literature in sociology of sport, sport communication, and media studies to provide an assessment of the implications of social media and digital technologies for sport.

Scholarship on social media and digital technologies in sport has primarily focused on descriptive analyses. Sociological approaches provide a theoretical grounding for examining issues of power, inequality, and social justice in relation to media ideologies, production, and consumption.

The chapter identifies future areas of study, including a more robust engagement with theory and an expansion of methodological approaches.

The chapter provides an overview of the literature on social media and digital technologies in sport of nearly 80 scholarly publications. The chapter moves beyond focusing on patterns in content to consider how structures, journalistic practices, cultural norms, and audience interactions collectively shape ideologies about gender, race, sexuality, religion, and disability in the sport media industry.

While social media data are used increasingly in studies of social movements, social media evolves far more rapidly than academic research and publication. This chapter argues that researchers should adopt historical and archival approaches to social media data. Treating social media data as an “instant archive” – one that is self-curated, is co-constituted, and changes rapidly – we caution researchers to pay attention to the features of this archive and their implications for working with the data therein. Applying insights from recent discussions of archival methods for social science research to the specific features of social media data, we explore how platform features, repressive effects, and user innovations affect the content of the instant archive. We then offer strategies for researchers' methodological approaches, including how best to select units of analysis and platforms, how to collect and interpret archival materials, and how to identify silences in the data.