Overview: Investigating Third Age internet research
Synthesis: Cross-cutting trajectories across the six themes
Taken together, the six themes highlight a field that has both broadened and deepened since our 2004 review, while continuing to wrestle with recurring questions about how culture, communication, and technology are best conceptualized. Across Theme 1 (Theoretical and methodological foundations) and Theme 2 (Digital cultures as social and cultural constructs) in particular, the corpus shows some movement away from static, nation-bound notions of culture towards more dynamic, relational, and practice-oriented understandings. At the same time, these constructivist framings coexist uneasily with inherited essentialist vocabularies, especially where digital environments are framed as spaces in which “national cultures” encounter one another. This tension between culture as container and culture as emergent practice runs through the themes and remains a defining characteristic of Third Age scholarship.
A second cross-cutting pattern concerns localization and language/identity work, most visible in Theme 3 (Language and expression in digital spaces) but also in Theme 4 (Education and learning) and Theme 2. Research on digital cultures, online expression, and educational practice consistently portrays digital platforms as sites where language choice, multimodal resources, platform vernaculars, and interactional norms are actively negotiated. Rather than treating technologies as neutral channels, the literature foregrounds how users adapt, remix, and resist platform affordances in locally meaningful ways–through translanguaging practices, hybrid genres, and creative repurposing of tools. This localization work is closely tied to identity: across contexts, digital communication becomes a means of performing, contesting, and reconfiguring cultural affiliations, often in ways that unsettle neat distinctions between “home” and “host,” “online” and “offline,” or “majority” and “minority” cultures.
Third, the themes collectively underscore the centrality of power, ethics, and inequality, most explicitly in Theme 5 (Power, ethics, and global perspectives) and Theme 6 (Digital infrastructures and design) but also woven through studies of digital cultures and education. Work on platforms, infrastructures, and policy debates draws attention to how design decisions, business models, and governance arrangements privilege some users, languages, and epistemologies over others. Research on ethics, surveillance, and datafication likewise highlights the uneven distribution of risks and benefits, particularly for migrants, marginalized communities, and speakers of less-resourced languages. Even where culture is framed in relatively neutral terms, the empirical material reveals persistent asymmetries in who builds and owns infrastructures, whose communicative practices are legible to systems, and whose voices are amplified or silenced. These dynamics complicate any straightforward narrative of digital technologies as simply enabling intercultural dialogue.
A fourth set of threads concerns methodological and pedagogical orientations, linking Theme 1 and Theme 4. The corpus is marked by a strong qualitative and interpretive tradition, often grounded in ethnographic sensibilities, discourse and interaction analysis, and case-based studies of particular communities or platforms. At the same time, there is growing interest in longitudinal designs, mixed methods, and comparative work that can better capture change over time and across sites. Within educational settings, researchers increasingly position learners and educators not as passive recipients of technology, but as designers, critics, and co-creators of digital practices. This methodological and pedagogical shift reflects a broader preoccupation with agency and with the conditions under which digital environments can foster more equitable, reflective, and culturally responsive forms of participation.
Finally, these cross-cutting trajectories collectively prepare the ground for the Fourth Age discussion that follows. Concerns about localization, language, and identity across Themes 2-4 intersect directly with questions about whose data train contemporary generative AI systems, which languages and genres are most legible to them, and how model defaults shape what comes to count as “normal” or “standard” communication. Likewise, the attention to infrastructure, governance, and power in Themes 5 and 6 offers conceptual tools for interrogating the political economy of generative AI and model-mediated communication. In short, the patterns traced across the six themes do not merely describe a completed phase of “digital culture” research; they also illuminate the continuities and ruptures that characterize emerging AI-saturated environments and thus point directly towards the questions taken up in the Fourth Age coda.
In the following chapters, we explore each of the major themes we identified in greater detail, with reference to materials in this new collection, and discussing key examples and implications.
The idea that culture is constantly created and negotiated through social interaction, rather than fixed or given.
Adapting technologies, interfaces, or content to fit the language and cultural norms of a specific place or group.
Online services that host and organize user activity, such as social media sites, streaming services, or learning platforms.
The different types of meaning-making tools, such as images, gestures, or sound, used together in communication.
Distinctive styles, norms, and ways of speaking or posting that develop on particular platforms.
What a platform makes easy or hard to do, based on its design and features.
Flexible language use in which speakers draw on all their linguistic resources rather than keeping languages separate.
Text or media types that combine features of several established genres, such as a vlog that is part diary, part tutorial.
The practical activities of adapting content or tools for local languages, cultures, and conditions.
Turning aspects of everyday life into data that can be collected, analyzed, and used for decision-making.
A study that collects data from the same participants or settings over an extended period of time.
AI systems that can create new content such as text, images, or audio based on patterns learned from data.
The built-in settings and behaviors of an AI model that shape what it tends to produce unless users adjust it.
The study of how economic interests and power relations shape media, technologies, networks and AI systems.