Digital literature Study Guide
Study Guide
📖 Core Concepts
Electronic literature – literary works created digital‑born to exploit interactivity, animation, or algorithmic generation; they are meant to be experienced on computers, tablets, or phones.
Hypertext fiction – story composed of lexias (text fragments) linked together; readers choose paths by clicking links.
Interactive fiction (IF) – narrative where the reader inputs commands or makes choices that affect the outcome (e.g., Adventure, Zork).
Generative literature – a program that can produce many different poems or stories from a single code base.
Ergodic / cybertext – literature that requires non‑trivial effort from the reader to traverse the text (Aarseth).
Generational model (Flores) – 1️⃣ pre‑web works, 2️⃣ web‑based works, 3️⃣ social‑media / mobile / API‑driven works.
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📌 Must Remember
Hayles definition: “digital‑born” works excluding e‑books.
ELO definition: works with a significant literary aspect that exploit computer capabilities.
Lexia = a single hypertext node; link = the connection that lets the reader jump between lexias.
Ergodic literature = requires the reader to perform a rule‑based action (e.g., click, type, solve a puzzle).
Key historical milestones:
1950s – first generative literature.
1966 – ELIZA chatbot.
1975 – Adventure (first IF).
1987 – afternoon, a story (hypertext classic).
1990s – Storyspace era.
2000s – rise of web, cell‑phone novels.
2010s – Twine revolution, Instapoetry, AI‑generated texts.
Twine = free, visual tool; builds stories as nodes + links without programming.
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🔄 Key Processes
Creating hypertext fiction
Write discrete lexias.
Define links that map reader choices.
Use authoring software (e.g., Storyspace, Twine) to connect nodes.
Designing interactive fiction
Draft a state‑variable table (e.g., hasKey = false).
Write parser rules for player commands.
Implement branching tree logic; each choice updates variables and leads to new nodes.
Generating literature
Write an algorithm (e.g., Markov chain, grammar‑based generator).
Define input corpus and output constraints (length, style).
Run the program to produce multiple distinct texts.
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🔍 Key Comparisons
Hypertext fiction vs. Interactive fiction
Hypertext: navigation by clicking links; no typed commands.
Interactive: navigation by typing commands / making choices that may affect internal variables.
Twine vs. Traditional authoring tools (Storyspace, Infocom)
Twine: visual node map, no coding required, web‑ready output.
Storyspace/Infocom: more technical, often requires scripting or proprietary formats.
Generative literature vs. Fixed‑text digital poetry
Generative: output varies each run; algorithmic core.
Fixed: same visual/animated text every time; emphasis on media fluency.
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⚠️ Common Misunderstandings
“Electronic literature = e‑books.” – False; e‑books are digitised print, while electronic literature is born digital and uses interactivity or animation.
All hypertext is non‑linear. – Many hypertexts still follow a linear reading order; true non‑linearity requires meaningful choice that changes narrative.
AI‑generated text isn’t literature. – It can be electronic literature when it is presented as a literary artifact and engages the reader’s interpretive work.
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🧠 Mental Models / Intuition
“Reader as co‑author” – Imagine the reader holding a pen that draws lines between story blocks; the more lines they draw, the more the story changes.
State‑variable as inventory – Treat variables like items in a backpack; picking up a key (hasKey = true) unlocks new doors later.
Ergodic effort = “pay‑to‑play” – If you must solve a puzzle or type a command to see the next paragraph, you’re in ergodic territory.
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🚩 Exceptions & Edge Cases
Print‑incompatible works – Some hypertexts rely on timed animation or real‑time server calls; these cannot be faithfully reproduced on paper.
Preservation – Works that depend on obsolete browsers or plugins may become unreadable unless archived with emulators or source code.
Social‑media literature – Platform constraints (character limits, image ratios) shape form; moving a Twine story to Instagram may require re‑formatting.
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📍 When to Use Which
Choose Hypertext when the goal is reader‑driven navigation without complex state tracking.
Choose Interactive Fiction when you need conditional logic, inventory, or puzzles.
Choose Generative approaches for mass‑variation (e.g., poetry collections, endless stories).
Choose Twine for rapid prototyping, classroom assignments, or indie publishing; use Storyspace for scholarly hypertext with fine‑grained metadata.
Use AI‑assisted tools when you want to augment human writing (e.g., generate drafts, suggest variants).
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👀 Patterns to Recognize
Lexia‑link pattern – a node followed by one or more hyperlinks; indicates hypertext structure.
State‑check pattern – conditional text that appears only if a variable is true (if (hasKey) { … }).
Loop‑back pattern – a link that returns the reader to a previous lexia, creating a cycle; common in puzzles.
Media‑affordance pattern – presence of animation, sound, or scrolling text signals digital poetry rather than plain hypertext.
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🗂️ Exam Traps
Distractor: “Electronic literature includes any book read on a Kindle.” – Wrong; Kindle books are digitised print, not digital‑born.
Distractor: “All interactive fiction uses a graphical interface.” – Wrong; classic IF is text‑only with command parsers.
Distractor: “Hypertext always leads to multiple endings.” – Wrong; some hypertexts have many paths but converge to a single ending.
Distractor: “AI‑generated text cannot be copyrighted.” – Over‑simplified; copyright depends on human authorship contribution, which many AI‑assisted works have.
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