AI posts coding study

Welcome

You will classify 225 short social-media posts in six manageable sessions. Every selection is timestamped and saved continuously in this browser.

Allow approximately 2.5–3.5 hours for careful work. Your four-hour coding window begins only after you pass the required practice. Each coding session is expected to take about 20–30 minutes.

We recommend a three-minute break between sessions. Before starting, keep some water nearby and use a laptop or desktop. Keep this browser and device for the entire study.


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Step 1 — Read the guide, then practise

Practice contains seven fictional posts closely matched to the real task, with two questions per post. Each question has two chances. After a first incorrect choice, you receive a hint and try that question once more. After a second incorrect choice, the correct answer is explained. You must answer at least 11 of the 14 decisions correctly (78.6%). The Coding guide button stays available at the top of every practice and coding page.

Step 2 — Six coding sessions

Complete sessions in order. Each contains 37–38 real posts and one simple visual attention check. Take the recommended three-minute break after each session.

Quick codebook

Code what the post says or clearly implies—not your opinion. Do not infer an outcome from a hashtag, product category, or outside knowledge, and do not decide whether the claim is true.

For the first question, focus on the person or group speaking in the post (for example, “I,” “we,” or “our”). Treat that speaker as the human side even when they are a worker, artist, marketer, student, citizen, or organization. A headline, advertisement, feature list, or report about somebody else is normally neutral for the human question unless the speaker clearly describes or adopts the experience as their own.

Answer the human and AI questions separately. A post can describe a human experience without a clear AI outcome, or a clear AI outcome without a human experience.

Choose one answer for each question. If several signals appear, choose the outcome that is most explicit and central in the post.

You can reopen this guide from the top-right button at any time during practice and all six coding sessions.

1. What happens to the person or group speaking in the post?

Choose this explanationMeaning
AI helps the speaker do something they already doAI amplifies an existing task or ability: the speaker does it faster, more easily, better, or at greater scale. Example: using AI to write code faster or reach more clients.
AI gives the speaker a new ability, perspective, or possibilityThe speaker gains a genuinely new capacity, perspective, learning opportunity, creative path, or possibility through AI.
AI reduces the speaker’s control, privacy, access, or freedom to actThe speaker’s autonomy or agency is limited through dependence, surveillance, lock-in, refusal, privacy risk, manipulation, or reduced control. Annoyance or guilt alone is not sustained damage to well-being, but it can be evidence of reduced freedom when the post describes pressure or manipulation.
AI diminishes the speaker’s skills, livelihood, creativity, thinking, identity, or well-beingThe post reports an actual deterioration in an existing human capability or condition, such as lost work, weakened skills, poorer thinking, damaged identity, or sustained harm to well-being.
No clear AI-related change for the speakerNo enabling or constraining experience of the speaker is stated or clearly implied. Headlines, event announcements, product features, AI-art credits, and reports about other people can be neutral here.

2. How is the AI system, company, or ecosystem represented?

Choose this explanationMeaning
AI works reliably or produces a useful resultThe system performs reliably, produces a useful completed output, or otherwise serves the human–AI interaction well.
AI or its ecosystem gains data, learning, users, profit, adoption, or reachThe model, company, operator, or ecosystem benefits or grows—for example through added training data, learning, more users, subscriptions, profit, adoption, or market reach.
AI refuses, blocks, is limited by guardrails, or withholds a capabilityThe system or its operator is represented as censoring, refusing, gatekeeping, limiting access, imposing guardrails, or withholding a requested action or capability. This answer describes the AI-side action or limit; the resulting loss of human control can separately receive the human-control answer above.
AI fails, gives poor output, deteriorates, or is represented as damaged or exploitedThe system hallucinates, is unreliable, degrades, produces poor or harmful output, or is represented as damaged or exploited as a disposable tool. Human harm alone does not establish this answer unless the post also represents AI output or performance as defective or harmful.
No clear role or outcome for AI or its ecosystemAI may be mentioned, questioned, advertised, credited, or discussed, but no clear successful function, ecosystem growth, withheld capability, failure, or damaging outcome is represented.

Fast decision rules