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This chapter examines the framing of the Black Lives Matter (BLM) Movement in mainstream media. An analytic sample of 4,303 articles collected from the Dow Jones Factiva database reveals variation in depth, breadth, and intensity of BLM coverage in the following newspapers between 2012 and 2016: The St. Louis Post-Dispatch, The New York Times, The Washington Post, The Wall Street Journal, and Al Jazeera English. We review contemporary literature on racial inequality and employ Media Framing and Critical Race Theory to discuss the implications of our findings on public perceptions, future policy formation, and contemporary social protest worldwide.

The mobilisations against the wildfires in Greece (2007) redefined the notion of environmentalism in the country, and it was one of the first examples which showcased the potential of digital media for protests and resistance in the Greek context. At the same time, the global recession strongly affected the environmental politics and policies applied in Greece, indicating threats, risks and areas of conflict (e.g., privatisation of recourses, water, etc.). Following the environmental protests of 2007, this study provides an insight into the case of #Skouries forest and the antimining protests, focussing on the period 2015–2017. The study developed through the analysis of online data (Twitter) which was collected during the period March 2015 to March 2017 (#skouries). This chapter develops an insight into the online networks, coalitions and dominant actors (SNA) and also investigates the hashtags evolution and discourse (Semantic analysis). The collection and visualisation of the data developed using NodeXL. This case is considered one of the most indicative examples of the Greek environmental movement, as this shaped during the evolution of social media and in the crisis context. As such, this chapter demonstrates that the importance of the use of Twitter for the organisation of the movement, as well as an alternative space for public engagement/debate on climate change and environmental-related issues.

The closure of educational institutions in the COVID-19 pandemic has changed the global teaching and learning landscape. Face-to-face classroom activity has been shifted to online classroom activity. This study aims to investigate the effect of social media-based education on students’ academic performance during the pandemic.

This study analyzes the perceptions of 302 university-going students of Bangladesh using structural equation modeling.

Results show that Facebook features, perceived usefulness and personal tutorial have a positive and significant relationship with the use of social media (USM). Furthermore, the USM has a positive and significant relationship with the academic performance of the university-going students of Bangladesh during the pandemic.

This research has considered the social media usage of university students during the pandemic for academic purposes. This study has not considered income group, technical literacy and device availability of the students. Therefore, the findings may not be generalized to all classes of society.

This study validates that the USM can ensure good academic performance by engaging students through collaboration and attention.

Diffusion of knowledge and interactive face-to-face learning procedures have faced a massive loss because of this COVID-19 pandemic. Easiness in the mode of teaching technique can be a precondition for its acceptance among the students. As the impact of social media on academic performance in this pandemic context has remained unexplained, this study is designed to focus on this emerging issue.

Despite the huge potential of social media, its functionality and impact for enhanced risk communication remain unclear. Drawing on dialogic theory by integrating both “speak from power” and “speak to power” measurements, the article aims to propose a systematic framework to address this issue.

The impact of social media on risk communication is measured by the correlation between “speak from power” and “speak to power” levels, where the former primarily spoke to two facets of the risk communication process – rapidness and attentiveness, and the latter was benchmarked against popularity and commitment. The framework was empirically validated with data relating to coronavirus disease (COVID-19) risk communication in 25,024 selected posts on 17 official provincial Weibo accounts in China.

The analysis results suggest the relationship between the “speak from power” and “speak to power” is mixed rather than causality, which confirms that neither the outcome-centric nor the process-centric method alone can render a full picture of government–public interconnectivity. Besides, the proposed interconnectivity matrix reveals that two provinces have evidenced the formation of government–public mutuality, which provides empirical evidence that dialogic relationships could exist in social media during risk communication.

The authors' study proposed a prototype framework that underlines the need that the impact of social media on risk communication should and must be assessed through a combination of process and outcome or interconnectivity. The authors further divide the impact of social media on risk communication into dialogue enabler, “speak from power” booster, “speak to power” channel and mass media alternative.

This chapter identifies, defines and explores four news media roles of conduit, facilitator, mediator and political actor through which the media participate with corporate, social and political actors in agenda-building processes. The framework of the media’s four agenda-building roles sheds light on how the news media perform their various roles as well as how other actors, such as organizations and media audiences, are able to mobilize the media performing these roles. This framework helps explain how and why media roles affect the way actors are able to influence the media agenda with the intention of shaping the public agenda.

The study seeks to contribute to a deeper understanding of the relationship between remediations and participation in new media. By lending some transparency, the analysis hopes to contribute toward generating a critical optics aware of the potentials and pitfalls of emergent media.

The methodology is visual semiotic analysis. The author make no claim for one, true interpretation or critical judgment about the images.

In demonstrating some shortfalls of Instagram affordances, the analysis shows how social media sites can develop tools that encourage users to engage in civic consciousness and respectful political debate. The study makes clear that new media tools can hamper or aid participatory logics.

To author’s knowledge, no other study that has analyzed remediated images related to the controversial confirmation of Brett Kavanaugh to the U.S. Supreme Court. It is also important to place these images in the contexts of “iconicity” in emergent media (a concept increasingly being eroded in new media environment).

Consumer engagement has become a critical component to many brands' relationship and promotional efforts. Empirical studies have documented the psychological elements that can drive consumers to engage with brands. However, there is a knowledge gap regarding how consumer engagement is influenced by the social environment consumers are embedded in. Taking an egocentric network approach, this study explores the social network factors that affect different dimensions of consumers' online engagement behaviors with a brand.

An online survey with an egocentric network design was employed, and 263 completed responses were collected from college students in US. The dimensionality of consumer engagement was validated using exploratory factor analysis. The hypotheses were tested through three sets of hierarchical regression models.

The results suggest that consumer engagement with a brand was partially shaped by the attributes of consumers' brand discussion networks that emerge from their conversations about a brand with others in everyday life. Specifically, the size, heterogeneity, and density to consumers' discussion networks were associated with certain engagement behaviors.

This study introduces a novel type of network method known as egocentric network analysis to explore and investigate the social network antecedents to consumer engagement behavior. It advances the conception of consumer engagement as a dynamic process influencing and is influenced by consumers' social interactions rather than merely a product of their psychological mechanisms. The study contributes to a social network approach to examining and conceptualizing consumer engagement.