1 Introduction

 1.1 Defining Cyber Racism

 1.2 New Terms in Research on Cyber Racism

2 Themes in the Early Research on Cyber Racism

3 Where We Are Now in the Field of Cyber Racism – Current Themes

 3.1 Cyber Racism as Intragroup Communication

  3.1.1 Online White Supremacist Communities

 3.2 Cyber Racism as Intergroup Communication

  3.2.1 How Do Opposing Camps (Racists and Anti-Racists) Engage with Each Other in Online Debates?

  3.2.2 Effects of Cyber Racism as Intergroup Communication: Ideological Polarisation

 3.3 Experiences of Cyber Racism: Research from the Perspective of the Targets

4 Newly Emerging Themes: Racist Narratives about COVID 19

5 The State: Governments and the Regulation of Cyber Racism

6 Future Directions and Conclusion

1 Introduction

2 What Is Social VR?

 2.1 Immersion

 2.2 Social Presence

 2.3 Avatars and Virtual Agents

 2.4 Communication and Social Networking

3 The Use of Social VR in Neuroscience Research

 3.1 From Low-Dimensional to High-Dimensional Tools

 3.2 Benefits of Virtual Reality for Social Neuroscience

 3.3 Social Virtual Reality and Sociomorality

4 Social VR in Mental Health: Rationale and Key Applications

 4.1 Social VR for Structuring Multisensory Bodily Contents

 4.2 Social VR for Augmenting Multisensory Bodily Contents

 4.3 Social VR for Replacing Multisensory Bodily Contents

5 Conclusions

6 Future Directions

1 Introduction

2 Digital Religion: History and Context

3 Digital Religious Practice as Contemporary Lived Religion

4 Challenges of Digital Religion to Offline Religious Practice

 4.1 Shifts in Religious Authority Online and Offline

 4.2 Digital Ritual: Transforming Traditional Religious Practice

5 Religious Community in the Digital Age

6 Future Developments in Digital Religion

1 Electronic Activity Monitoring Systems for Physical Activity Promotion

 1.1 The Evolution and Early Versions of Electronic Activity Monitoring Systems

 1.2 Early Pioneers and Their Contributions

 1.3 Early Systematic Evaluation of EAMS

2 Current Evidence of Electronic Activity Monitoring Systems

 2.1 Generally Healthy Adults

  2.1.1 Evidence by Device

  2.1.2 Current Leaders and Their Major Contributions

  2.1.3 Limitations to the Evidence among Generally Healthy Adults

 2.2 Chronic Health Conditions

  2.2.1 Alzheimer’s Disease

 2.2.2 Cancer

  2.2.3 Chronic Obstructive Pulmonary Disease

  2.2.4 Diabetes

  2.2.5 Heart Disease

  2.2.6 Rheumatic and Musculoskeletal Diseases

 2.3 Children

  2.3.1 Limitation to the Evidence among Children

 2.4 Factors Impacting User Acceptance

  2.4.1 Measurement Validity

  2.4.2 Behavior Change Techniques

  2.4.3 Supplemental Intervention Tools

3 Proposed Future Research

 3.1 Older Adults

 3.2 Adaptive Interventions

 3.3 Cancer

 3.4 Mental Illness

 3.5 Cardiovascular Disease and Other Health Conditions

 3.6 Multiple Health Behaviors

 3.7 Rehabilitation

 3.8 Family Intervention

 3.9 EAMS Alone versus Multicomponent

4 Conclusion

1 Introduction

2 Definition and Issues in the Current Definition

3 The Role of the Online Environment

4 Frequency of Hate Speech

 4.1 Country Differences

 4.2 Sex Differences

 4.3 Differences in Age and Minority Status

5 Examples of Hate Crimes

 5.1 Racial/Ethnic Identity

 5.2 Religious Identity

 5.3 Sexuality and Gender Identities

6 Hate Groups and Their Appeal to Adolescents

7 Correlates of Hate Speech

8 Prevention and Intervention Efforts

9 Conclusion and Future Directions

1 Introduction

 1.1 Cyberbullying within a Peer Group

 1.2 Cyberbullying outside the School Setting

 1.3 Typologies of Cyberbullying

2 Beyond Peer Cyberbullying – Other Subtypes of Electronic Aggression

3 Mechanisms of Cyberaggression

4 Electronic Aggression and Cyberbullying Measurement Methodology

5 Cyberbullying Prevention and Intervention

6 Knowledge Gaps and Future Research

1 Introduction

2 Is Greece a Unique Case in Terms of Cyber-Bullying?

3 The Early Years of Cyber-Bullying Research in Greece

4 Investigating Correlates and Predictors: Independent Studies and Research Projects

5 Efforts of Cyber-Bullying Prevention and Intervention in Greece

  5.1 Legislation, Implicated Bodies, and Networks

  5.2 Prevention and Intervention within the Classroom

  5.3 Prevention and Intervention in the University

  5.4 Characteristics of Effective Prevention and Intervention Programs

6 Conclusions

1 Introduction

2 Leading Researchers and Most-Cited Papers

3 Main Research Topics

 3.1 ICT and e-Tourism: R. Law, D. Buhalis and M. Sigala

 3.2 Trustworthiness of Social Media Information and Practical Implications: R. Filieri, F. McLeay, M. Schuckert, X. Liu and S. Park

 3.3 User-Generated Contents: U. Gretzel, K. Ayeh, M-Y. Wu and P. L. Pearce

 3.4 Effectiveness of Social Media Marketing: X. Y. Leung and B. Bai

 3.5 Customer’s Behaviours in Online Social Networks: K. Nusair, F. Okumus, A. Bilgihan and C. Cobanoglu

 3.6 Impacts of Social Media and New Trends: Z. Xiang, A. M. Munar, J. K. S. Jacobsen and J. G. Molz

 3.7 Other Leading Authors and Their Contributions

4 Summary

 4.1 Major Themes and Topics

 4.2 New Trends and Topics

 4.3 Future Directions

 4.4 Research Limitations

 4.5 Recommendations for Early Career Researchers

5 Conclusions

1 Introduction

  1.1 Overview of the Chapter

2 Cyber Behaviors Related to Entertainment and Learning

  2.1 Early Research on Cyber Behaviors Related to Entertainment and Learning

  2.2 Current Research on Cyber Behaviors Related to Entertainment and Learning

    2.2.1 Vocabulary Learning

    2.2.2 STEM Learning

    2.2.3 Transfer from Touchscreen to Non-Cyber Environments

3 Implications of Cyber Behaviors Centered on Communication

  3.1 Early Research on Cyber Behaviors Related to Communication

  3.2 Current Research on Cyber Behaviors Related to Communication

4 The Implications of Multitasking

 4.1 The Implications of Multitasking for Learning and Cognition

  4.2 Multitasking and Well-being

  4.3 Individual Differences Relating to Multitasking Behavior

5 Future Direction

Acknowledgment

1 Introduction

2 Overall Social Media Use: Not the Best Predictor

3 Activities: Interactive, Active, and Passive

 3.1 Interactive Use/Directed Interaction

 3.2 Active Use/Broadcasting

 3.3 Passive Use/Content Consumption

  3.3.1 When Browsing and Social Comparison Do Not Hurt

  3.3.2 Avoiding Negative Impacts of Browsing

4 Motives

5 Communication Partners

6 Future Directions

7 Summary and Concluding Remarks

1 Introduction

2 Voice-Powered AI: Many Names, a New Digital Experience

3 The Growing Market of Voice Technology

 3.1 Voice-Controlled Virtual Assistant Adoption and Use

 3.2 The Voice War: A Zoom into the Current Offering of Virtual Assistants

4 The Impact of Voice Assistants on Consumer Behavior

 4.1 How Voice Is Changing the Customer Journey

 4.2 Voice Search: Consumer Concerns and Current Limits of Intelligent Voice Assistants

5 A (R)Evolution across All Industries

6 Marketing at the Age of Voice-Powered AI: Implications for Organizations

7 A Look Ahead

8 Conclusions

9 Future Directions

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Although there have been attempts to make relationship science more diverse and inclusive, as it stands, the external sociocultural forces that impact relationships have not been at the forefront of research. We argue that romantic relationships cannot be divorced from the sociocultural context in which they exist. This chapter reviews the literature to explain the “context problem” faced by relationship science, highlighting the importance of including intersectional, context-driven research in the field. We then provide an overview of each chapter in the volume.