This chapter delves into the implications of citizen participation in commercial SCS for their support of the state’s digital policies. Unlike the focus on general political trust in Chapter 5, the attention here now turns to assessing support for a specific digital policy. This chapter finds that citizens are highly supportive of state, compared to company, involvement in managing the SCS. It explores potential explanations such as media exposure, social interaction, and potential network effects. However, high levels of state support can only be fully understood once how people experience policy implementation on the ground is taken into account. When these experiences are mostly financial in nature, individuals are more likely to believe that the chances of their data being used for political purposes is low. Therefore, they become more supportive of the state’s involvement in the SCS overall. For most citizens, a primarily financially oriented SCS is acceptable, but its use as a political tool is not.

This chapter presents an overview of social interaction, technology, and language learning within the context of a cross-cultural exchange project. Interaction with others and being an active participant in an environment where the language is used is crucial to language learning. We will first look at social interaction and situate it in the context of language teaching and learning. Next, we present some primary themes of social interaction and discuss the practices that inform the role social interaction plays in collaborative projects in language classes. We provide examples of how technological tools were used to facilitate virtual social interaction between language students in France and the United States. Finally, the chapter concludes by offering insights for cross-cultural projects that prioritize social interaction.

Describe what theory of mind is and how it develops; understand the importance of theory of mind for children’s later development; consider the implications of theory of mind for collaboration and human uniqueness.

This chapter explores the unique relationship between music and individuals with autism spectrum disorder (ASD). It highlights the remarkable musical abilities often found in people with autism, contrasting with their challenges in social interaction and communication. Research shows that music can serve as a bridge, facilitating social interaction and emotional expression for those on the spectrum. Brain imaging studies reveal how brain regions typically associated with language processing are activated in autistic individuals when they engage with music. This suggests that music may offer an alternative pathway for communication and emotional understanding. The chapter also discusses the therapeutic applications of music for individuals with autism, such as auditory-motor mapping training (AMMT), which has shown promise in improving verbal communication and social skills. Music therapy can also foster emotional expression, social connection, and a sense of belonging. The chapter concludes by emphasizing the importance of understanding and embracing the individual’s musical preferences and strengths in order to support their development and well-being.

My work has been primarily located in two fields, both characterized by heated disagreements when I entered them. In child language research the nativist view was the default position in the late 1960s and through the next couple of decades. But in 1967 I studied adult input to children, in service of understanding its contributions to language acquisition. By the 2020s the notion that certain features of adult-child interaction are instrumental in language development has been robustly supported by multiple lines of work. I first got involved in thinking about literacy development in the mid-1990s during a time of conflict between what was then framed as “phonics” versus “whole language.” That conflict resurfaces with depressing regularity and is currently characterized as a struggle to implement the “science of reading.” The complexities in the reading domain are far greater than in language acquisition because of the larger role of educational publishers and school administrators in determining a course of action.

This chapter reviews ways of analyzing interactional and grammatical regularities of spoken, dialogically organized language in a constructional framework. The basic tenet is that grammatical constructions, when used in talk-in-interaction, are housed in interactional sequences, and it is the constructions’ positions in certain sequential locations that motivates their use and shapes their form. Therefore, aspects of sequence and discourse organization are potentially distinctive features of constructions, and reflections of the interactional contingencies that generate them. Four types of construction are examined: receipt questions, second assessments, a construction of meaning negotiation, and pseudo-clefts. All these patterns can be said to be responsive in one way or another, thus lending themselves well to a dialogically sensitive analysis. The analytic examples highlight the necessity of abstracted interactional information for a fuller understanding of the workings of grammatical constructions in talk-in-interaction and for how an interactional perspective can enrich constructional approaches to analyzing linguistic structure.

Social interaction with friends and family is pivotal for our cognitive development, mental health, and overall wellbeing. These connections shape our understanding of ourselves, others, and the world around us. Research consistently highlights the positive impact of social engagement on cognition and mental health, from stimulating problem-solving skills to combating loneliness and reducing stress. The brain regions activated during social interactions underscore the significance of social cognition, empathy, and emotional processing. Particularly during adolescence, positive friendships play a crucial role in emotional resilience and healthy development. Studies suggest an optimal number of close friends for mental health benefits, emphasizing quality over quantity in social relationships. Social support networks bolster resilience and aid in recovery from mental health disorders. Conversely, social isolation poses risks to brain health and mental wellbeing, highlighting the importance of maintaining social connections throughout life. Engaging in social activities, whether through clubs, volunteering, or hobbies, fosters social interaction and enhances overall wellbeing. In a world increasingly driven by technology, prioritizing face-to-face social interaction remains essential for brain health, cognition, and mental wellbeing.

This chapter provides an overview of foundational principles that guide CA research, offered both on the basis of our own experiences as researchers, and from our discussions with other conversation analysts as they authored contributions for the present volume. We begin by briefly sketching of some of the fundamentals of human social interaction, in order to underscore CA’s central focus, the study of social action, and describe some of the basic features of how interaction is procedurally organized. These basic features of interaction, which CA research has rigorously evidenced and which guide our examination of new data, are then shown directly to inform CA as a research methodology. Put another way, it is precisely due to the procedural infrastructure of action in interaction that conversation analysts use and work with interactional data in particular ways. We conclude with advice for readers as they continue to explore the volume’s contents.

Autism Spectrum Disorders (ASDs) are a group of severe developmental and neuropsychiatric disorders usually apparent by the age of three. Autism, referred to as autism spectrum disorder in the 11th revision of the International Classification of Diseases (ICD-11), is a neurodevelopmental condition characterised by persistent deficits in social interaction and social communication, as well as a range of restricted, repetitive behaviours (World Health Organization 2018). The onset of autism is in the developmental period (0–18 years of age), though for some autistic persons the symptoms may manifest later in life, at a time of increased social demands (World Health Organization 2018). In addition to the aforementioned core autistic features, many autistic people have associated symptoms, including hypo- or hypersensitivities to sensory stimuli, difficulties describing their emotional state (alexithymia), and problems with gross motor co-ordination The chapter will discuss the interface between autism spectrum disorder and intellectual disability and the potential management of the disorder. It will also cover the gender variations in presentation.

Chapter 3 shows how we can intend language as a social tool. The first part focuses on language and interaction; the second part on how we outsource our knowledge benefiting from others’ knowledge. First, I show that the traditional separations between phonetics, phonology, syntax, and semantics and between production and comprehension do not hold. Rather, language is profoundly interactive. Then I overview innovative approaches that investigate real-time linguistic interactions, illustrating new methods, such as hyperscanning. In the second part , I contend that language is also a social tool because it allows us to strengthen our knowledge by relying on others. I introduce the notion of "community of knowledge," show that we outsource part of our knowledge, and illustrate how children develop the ability to defer toward experts in acquiring and mastering linguistic meaning. Finally, I discuss the possible theoretical consequences of outsourcing knowledge.