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This chapter provides an overview of the specific legal, ethical, and privacy issues that can arise when conducting research using Twitter data. Existing literature is reviewed to inform those who may be undertaking social media research. We also present a number of industry and academic case studies in order to highlight the challenges that may arise in research projects using social media data. Finally, the chapter provides an overview of the process that was followed to gain ethics approval for a Ph.D. project using Twitter as a primary source of data. By outlining a number of Twitter-specific research case studies, the chapter will be a valuable resource to those considering the ethical implications of their own research projects utilizing social media data. Moreover, the chapter outlines existing work looking at the ethical practicalities of social media data and relates their applicability to researching Twitter.

Over the past decade, the number of people engaging with social media has grown rapidly. This means that social media platforms such as Twitter and Facebook are potentially good sources of rich, naturally occurring data. As a result, a growing number of researchers are utilizing these platforms for the collection of data on any number of topics. To date, no consistent approach to the ethics of using social media data has been provided to researchers in this sphere. This chapter presents research that has developed an ethics framework for the use of researchers working with social media data. The chapter also presents the framework itself and guidance on how to use the framework when conducting social media research. A full report can be accessed on: http://www.abdn.ac.uk/socsci/research/new-europe-centre/information-societies-projects-225.php

The focus of this chapter is the intersection of social media, publication, data sharing, and research ethics. By now there is an extensive literature on the use of social media in research. There is also excellent work on challenges of postpublication sharing of social media, primarily focused on legal restrictions, technical infrastructure, and documentation. This chapter attempts to build upon and extend this work by using cases to deepen the analysis of ethical issues arising from publishing and sharing social media data. Publishing will refer to the presentation of data extracts, aggregations, or summaries, while sharing refers to the practice of making the underlying data available postpublication for others to use. It will look at the ethical questions that arise both for researchers (or others) sharing data, and those who are using data that has been made available by others, emphasizing the inherently relational nature of data sharing. The ethical challenges researchers face when considering sharing user-generated content collected from social media platforms are the focus of the cases. The chapter begins by summarizing the general principles of research ethics, then identifies the specific ethical challenges from sharing social media data and positions these challenges in the context of these general principles. These challenges are then analyzed in more detail with cases from research projects that drew upon several different genres of social media. The chapter concludes with some recommendations for practical guidance and considers the future of ethical practice in sharing social media 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.

This study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured research methodologies pertinent to this subject.

The authors extracted data on social media trending topics from the Web of Science Core Collection database, spanning from 2009 to 2022. A total of 1,504 publications were subjected to bibliometric analysis, utilising the VOSviewer tool. The study analytical process encompassed co-occurrence, co-authorship, citation analysis, field mapping, bibliographic coupling and co-citation analysis.

Interest in social media research, particularly on trending topics during the COVID-19 pandemic, remains high despite signs of the pandemic stabilising globally. The study predominantly addresses misinformation and public health communication, with notable focus on interactions between governments and the public. Recent studies have concentrated on analysing Twitter user data through text mining, sentiment analysis and topic modelling. The authors also identify key leading organisations, countries and journals that are central to this research area.

Diverging from the narrow focus of previous literature reviews on social media, which are often confined to particular fields or sectors, this study offers a broad view of social media's role, emphasising trending topics. The authors demonstrate a significant link between social media trends and public events, such as the COVID-19 pandemic. The paper discusses research priorities that emerged during the pandemic and outlines potential methodologies for future studies, advocating for a greater emphasis on qualitative approaches.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0194.

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.

This research examines the underlying psychological process of customers' impulsive buying on social media through the lens of customer inspiration. Drawing on the customer inspiration theory, it identifies the factors influencing customer inspiration on social media from three perspectives: source characteristics, platform characteristics and personal characteristics, which subsequently lead to impulsive buying. Since the conceptualization of source credibility includes three mostly reported components: attractiveness, expertise and trustworthiness, it further contrasts the effects of three dimensions of source credibility on customer inspiration.

A structural equation model of customers' impulsive buying on social media was developed through the lens of customer inspiration. An online survey with 625 participants was conducted to test the hypotheses, and the partial least squares (PLS3) method was used.

This research found that source credibility, social presence and customer innovativeness are antecedents of customer inspiration on social media, which positively influence the inspired-by state of the customers, which impacts the inspired-to state and further leads to impulsive buying. By comparing the three dimensions of source credibility, the authors found that attractiveness and expertise positively affect the inspired-by state, while trustworthiness has no significant effect.

This research establishes the link between impulsive buying and customer inspiration, which provides a new psychological perspective to understand impulsive buying. In addition, it investigates the source characteristics of customer inspiration by comparing the effect of three dimensions of source credibility on customer inspiration, which provides the first evidence for connecting customer inspiration and source credibility.

Some researchers consider most social media communications as public, and posts from networks such as Twitter are routinely harvested and published without anonymization and without direct consent from users. In this chapter, we argue that researchers must move beyond the permissions granted by ‘legal’ accounts of the use of these new forms of data (e.g., Terms and Conditions) to a more nuanced and reflexive ethical approach that puts user expectations, safety, and privacy rights center stage. Through two projects, we present qualitative and quantitative data that illustrate social media users’ views on the use of their data by researchers. Over four in five report expecting to be asked for their consent and nine in ten expect anonymity ahead of publication of their Twitter posts. Given the unique nature of this online public environment and what we know about users’ views pertaining to informed consent, anonymity, and harm, we conclude researchers seeking to embark on social media research should conduct a risk assessment to determine likely privacy infringement and potential user harm from publishing user content.

Drawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.

Using a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.

The results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.

First, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.

The study aims to present a systematic literature review (SLR) to understand the current status of research on social media usage among the bottom of the pyramid (BOP). The purpose of this study is to identify the research gaps in this domain and review future research agendas by using theory, context, characteristics and methods [TCCM] framework.

An SLR, keywords co-occurrence and TCCM analysis were used to analyse and synthesize insights from 44 studies gained from Web of Science and Scopus databases.

The findings suggest that the USA and India are popular contexts for studying BOP. The BOP population uses social media to gain utilitarian, hedonic and social values. Further, social media can help BOP explore “entrepreneurship” opportunities, value co-creation and bring innovations.

This study expands the intellectual boundaries of social media at BOP and suggests multidisciplinary research. Additionally, adopting novel theoretical lenses helped determine social media's impact on BOP.