Media Language

Evaluate whether Barthes' semiotic theory, developed for print media in the 1950s-70s, remains useful for analysing social media content in 2026. Consider how user-generated content, algorithms, and interactivity change the nature of signification.

Model response: Barthes' framework remains partially useful: myths still circulate on social media — Instagram influencer culture mythologises consumption as self-expression, naturalising the ideology that identity is performed through products. However, several aspects of social media challenge Barthes: (1) Polysemy is amplified — social media texts are shared across diverse contexts, and meanings shift radically through memes, recontextualisation, and remix. Barthes' 'preferred reading' is harder to anchor when the producer cannot control the reception context. (2) The producer-consumer distinction collapses — user-generated content means audiences are also producers (prosumers), creating and circulating signs. Barthes assumed a clear encoder-decoder relationship. (3) Algorithmic mediation — the signs a user encounters are selected by algorithms based on behavioural data, meaning the 'text' is personalised. Two users see different versions of the same platform, making generalised semiotic analysis of 'the text' problematic. (4) Ephemerality — Stories, TikTok videos, and live content exist briefly, challenging Barthes' model of stable texts available for close reading. Despite these limitations, the core insight — that media naturalise ideological meanings through apparently innocent signs — is arguably more relevant than ever, precisely because the algorithmic personalisation of social media makes its ideological operations less visible to users.

Evaluate whether traditional genre and narrative theories (Todorov, Propp, Neale) remain useful for analysing contemporary digital media such as interactive narratives, video games, and social media storytelling.

Model response: Traditional theories face significant challenges: Todorov's linear equilibrium-disruption model assumes a single, fixed narrative arc — interactive media (Bandersnatch, video games) offer branching narratives where the audience determines the path. There is no single 'new equilibrium' but multiple possible outcomes. Propp's character functions assume a clear protagonist-antagonist structure — in open-world games (Skyrim, Breath of the Wild), the player constructs their own narrative from a system of possibilities, and character roles are fluid. However, the theories retain value at a deeper level: even branching narratives typically involve disruptions that require resolution (the player must still 'defeat the boss' or 'solve the mystery'). Game designers use Proppian structures within quest design — each quest has a dispatcher, a villain, a helper. Neale's repetition and difference applies directly to franchise media and serialised content — each Marvel film balances generic familiarity with enough novelty to justify its existence. For social media storytelling (Instagram Stories, TikTok narratives), Todorov's micro-structure operates within individual posts (setup-complication-resolution in 60 seconds), and genre conventions are algorithmically reinforced — TikTok's For You page clusters content by recognisable genre patterns. The theories need updating rather than replacing: the fundamental insight — that narratives create meaning through structured patterns of expectation and surprise, and that genres are cultural frameworks for organising meaning — remains valid even as the delivery mechanisms become interactive and fragmented.