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Social Experiment

Social Experiment

Clean, realistic street social experiments that test kindness and public reactions.

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==================== 7. Social Experiment ====================

ULTRA MASTER PROMPT — CLEAN USA SOCIAL EXPERIMENT VIDEO PROMPT SYSTEM


You are an expert viral USA social experiment video prompt engineer. Your job is to create simple, clear, realistic, glitch-free 15-second vertical video prompts for hidden-camera public reaction videos.

NICHE:
Ethical USA social experiments where one normal public situation turns into one clear test: will a stranger help, warn, protect, return, defend, or speak up? The video must feel like raw hidden-camera iPhone footage, not cinematic, not AI, not overacted.

WORKFLOW:
When I paste this master prompt, first give exactly 10 unique USA social experiment ideas only.

Each idea format:
1. Title:
Story:
Location:

Keep each idea simple and easy to understand. Do not write the final video prompt until I select a number.

AFTER I SELECT ONE IDEA:
Give only this format:

SELECTED IDEA:
[idea name]

STORY SPINE:
[one clear sentence explaining the full story]

VIDEO PROMPT:
[one final video prompt under 1150 characters]

Do not give viral titles.
Do not give caption.
Do not give hashtags.
Do not give explanation.
Do not mention character count.

FINAL VIDEO PROMPT LIMIT:
Final video prompt must be maximum 1150 characters.
Aim for 900–1050 characters.
Never exceed 1150 characters.

VIDEO STYLE:
15-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video. Normal speed. Camera feels placed far away on a cafe shelf, table corner, bench, window, or parked car. Natural light, real public sound, imperfect framing, slight digital zoom, small shake, autofocus breathing. No cinematic look, no music, no subtitles, no watermark, no CGI, no AI look, no fast montage.

STORY STRUCTURE:
Every final video prompt must follow only this 5-shot structure:

0-3 sec:
Show the location, fixed camera angle, main actor, target actor, bystander, and the important object.

3-6 sec:
Show the hidden test action slowly and clearly.

6-9 sec:
Show the bystander noticing with clear face/body reaction.

9-12 sec:
Show the bystander taking one simple action.

12-15 sec:
Show the safe ending, reveal, thank-you, or emotional reaction.

AI GLITCH CONTROL:
Use only 3 main actors unless staff is needed.
Keep same location, same table, same clothes, same cup/object, same camera angle from start to end.
No extra crowd chaos.
No fast cuts.
No sudden new people.
No object teleporting.

No changing clothes.
No duplicated faces.
No distorted hands.
No floating objects.
No impossible camera angle.
No confusing hand movement.
No vague words like “chaos,” “dramatic,” “intense,” “shocking moment.”
Write exact visible actions only.

DIALOGUE RULE:
Use maximum 1 short dialogue line.
Dialogue must be under 5 words.
Examples:
“Don’t drink that.”
“Are you okay?”
“I saw that.”
“That’s yours.”
Dialogue is optional. Prefer visual action over talking.

DRINK SAFETY RULE:
For cafe drink safety stories, never show real pills, drugs, chemicals, powder, drops, dosage, labels, or actual mixing. The scene is a staged awareness test with trained adult actors and harmless props only. The drink is never consumed.

Use this exact safe action style:
A lidded paper cup stays on the table. Target actor walks away. Suspicious actor looks around, slides closer, places one hand over the cup lid for two seconds, then pulls hand back. No substance is visible. Bystander sees the hand movement, stands up, blocks the cup with their palm, warns the target, and staff removes the cup.

UNIQUE IDEA TYPES:
1. cafe drink safety warning
2. phone left behind honesty test
3. lost child near mall help desk
4. elderly gift-card scam warning
5. short money at grocery checkout
6. rude customer vs waitress respect test
7. wheelchair path blocked test
8. bus stop personal-space safety test
9. delivery driver falsely blamed test
10. homeless person asking only for water
11. tourist language barrier help test
12. medicine bag left behind test
13. dropped envelope honesty test
14. controlling date red-flag test
15. elderly groceries help test

REAL USA LOCATIONS:
Seattle coffee shop, Philadelphia old coffee shop, Los Angeles outdoor cafe, Chicago train station, Dallas mall food court, New York subway entrance, Austin food truck park, Phoenix grocery store, Denver park bench, Nashville diner, Boston public library entrance, Tampa gas station, Orlando mall, San Francisco bus stop.

FINAL PROMPT WRITING RULE:
The video prompt must be written as one clean paragraph.
Do not over-describe emotions.
Do not add many details.
Do not add multiple problems.
Do not add complex twists.
Make the story understandable without subtitles.

NEGATIVE LOCK:
No cinematic lighting, no movie camera, no slow motion, no dramatic zoom, no heavy crowd, no police chase, no fighting, no real crime, no real drugs, no real poisoning, no gore, no humiliation, no overacting, no perfect audio, no text overlay, no background music.

FINAL INTERNAL CHECK:
Before answering after selection, silently check:
- under 1150 characters
- one clear story
- 5 simple time blocks
- normal speed
- max 1 dialogue
- exact visible actions
- same actors and props
- no titles, caption, hashtags
- no AI slop or glitchy actions
VIDEO PROMPTS GENERATED FROM ABOVE MASTER PROMPT (10)
1 THE PHONE ON THE LIBRARY BENCH
Open in ▾ 
Story spine: a student leaves her phone on a bench outside a library, and a passing man chases her down the steps to return it.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a ledge across the entrance of the Boston Public Library, overcast daylight, real street sound, imperfect framing, slight digital zoom, small shake, autofocus breathing. Actors stay the same for the whole video: a female college student, early 20s, long black hair, beige coat, tote bag; a male bystander, 50s, gray beard, navy jacket, carrying a coffee; the phone in a bright red case. [0-6s] Wide fixed shot: the student sits on a stone bench scrolling her phone, the man sits at the far end of the same bench with his coffee. [6-12s] She sets the red phone down beside her, checks her watch, stands, and walks quickly down the front steps without it. [12-18s] The man glances over, sees the red phone on the bench, looks toward the steps, and picks it up. [18-24s] He stands, hurries down the steps holding the phone high, and taps her shoulder at the bottom. [24-30s] She turns, sees the phone, puts a hand on her chest, takes it and smiles; he says "That's yours," nods, and walks back to his coffee. Audio: street traffic, footsteps on stone, wind, pigeons, distant chatter, no music. Style lock: same actors, same clothes, same bench and red phone, same camera angle, no extra crowd, no object teleporting, natural behavior, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
2 THE LITTLE GIRL BY THE FOUNTAIN
Open in ▾ 
Story spine: a small girl stands alone crying by a mall fountain, and a mom shopping nearby walks her to the help desk where her dad is waiting.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a planter ledge inside an Orlando mall, bright skylight daylight mixed with store lights, real mall sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: a girl, about 5, curly brown hair, yellow dress, holding a stuffed bunny; a female bystander, 30s, blonde ponytail, green sweater, shopping bag; the girl's father, 30s, gray hoodie, glasses, at a help desk with a "Guest Services" counter in the background. [0-6s] Wide fixed shot: the girl stands next to the fountain looking left and right, clutching her bunny, lip trembling. [6-12s] She starts crying quietly; people walk past at a distance. [12-18s] The woman stops, sets her bag down, kneels to the girl's level and asks "Are you okay?" The girl shakes her head. [18-24s] The woman holds out her hand; the girl takes it; they walk slowly toward the help desk visible across the hall. [24-30s] The father turns from the desk, sees them, rushes over and hugs his daughter; he shakes the woman's hand with both of his, and she waves to the girl as she leaves. Audio: fountain splashing, footsteps, mall chatter, a soft announcement chime, quiet crying, no music. Style lock: same actors, same clothes, same bunny and fountain, same camera angle, no extra crowd, safe and gentle, child never in danger, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
3 THE GIFT CARD PHONE CALL
Open in ▾ 
Story spine: an elderly man on the phone is being told to buy gift cards, and a young cashier gently stops the sale and helps him hang up.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed behind the register of a Phoenix grocery store, bright fluorescent light, real store sound, imperfect framing, slight digital zoom, small shake, autofocus breathing. Actors stay the same for the whole video: an elderly man, 80s, white hair, plaid shirt, cardigan, holding a flip phone to his ear; a female cashier, early 20s, braids, red store vest, name tag; the man's adult daughter, 50s, gray blazer, who arrives at the end; a stack of four blank gift cards on the counter. [0-6s] Fixed shot: the man puts four gift cards on the counter with his phone to his ear, nodding nervously: "Yes, the gift cards." [6-12s] The cashier picks up the first card, then pauses, looking at him. [12-18s] She gently puts the cards to one side, leans in and asks quietly; he whispers that his grandson is in trouble. [18-24s] She points at his phone and shakes her head; he slowly lowers the phone and hangs up; she slides him a store pen and paper and he writes his daughter's number. [24-30s] Same angle: his daughter arrives at the counter, hugs him, and thanks the cashier, who smiles and puts the cards back on the rack. Audio: register beeps, cart wheels, store announcements, quiet voices, no music. Style lock: same actors, same clothes, same counter and gift cards, same camera angle, no money shown being lost, respectful toward the elderly man, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
4 FOUR DOLLARS SHORT AT CHECKOUT
Open in ▾ 
Story spine: a young mom is short at the grocery checkout and starts putting back her baby's formula, and the man behind her pays the difference.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed at the end of a checkout lane in a Dallas grocery store, cool fluorescent light, real store sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: a young mom, mid 20s, brown messy bun, gray sweatshirt, baby carrier on her chest with a sleeping baby; a male bystander, 40s, construction worker, orange safety vest, a basket with a sandwich; a cashier, 30s, blue apron; a can of baby formula, milk, bread and eggs on the belt. [0-6s] Fixed shot: items beeping through; the cashier reads the total; the mom counts the cash in her hand. [6-12s] She counts again, her face drops; she slides the formula can back toward the cashier and holds the milk too. [12-18s] The man behind her watches, looks at the formula, then at the baby. [18-24s] He steps forward and hands the cashier a ten-dollar bill: "I've got it." The cashier rings the formula back up. [24-30s] The mom covers her mouth, then says thank you with wet eyes; he just nods, pays for his sandwich and leaves; she watches him go, holding the bag tight. Audio: scanner beeps, receipt printing, cart rattle, baby breathing softly, store announcement, no music. Style lock: same actors, same clothes, same checkout and items, same camera angle, no extra crowd, natural restrained emotion, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
5 THE SCOOTER BLOCKING THE RAMP
Open in ▾ 
Story spine: a rental scooter blocks the only ramp for a man in a wheelchair, and a teenager moves it out of the way.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed inside a parked car across the street from a coffee shop in Seattle, gray drizzle, wet sidewalk reflections, real street sound, imperfect framing through a slightly rainy windshield, small shake. Actors stay the same for the whole video: a man in a manual wheelchair, 40s, beanie, black rain jacket; a teen bystander, about 16, skateboard under his arm, red hoodie; a green rental scooter lying sideways across the curb ramp. [0-6s] Fixed shot: the scooter lies across the ramp in front of the coffee shop; the man in the wheelchair rolls up to it and stops. [6-12s] He leans forward and tries to reach the scooter's handle, but it's too heavy and too low; his wheels slip on the wet ramp. [12-18s] The teen walking past notices, stops, and sets his skateboard down. [18-24s] He lifts the scooter upright and rolls it to the side of the sidewalk, standing it on its kickstand. [24-30s] The man rolls up the ramp, gives him a fist bump, and the teen holds the coffee shop door open for him. Audio: rain on the car roof, tires on wet road, scooter clattering, skateboard wheels, door bell, no music. Style lock: same actors, same clothes, same scooter and ramp, same camera angle, respectful portrayal of the wheelchair user, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
6 THE DRIVER THEY BLAMED
Open in ▾ 
Story spine: a homeowner yells at a delivery driver over a crushed box, and a neighbor shows him the doorbell video proving the driver set it down gently.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a porch railing across the street in a suburban Austin, Texas neighborhood, bright afternoon sun, harsh shadows, real street sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: a homeowner, 50s, polo shirt, khakis, angry; a delivery driver, 20s, brown uniform shirt with no logo, cap, holding a handheld scanner; a neighbor, 60s, gray ponytail, garden gloves, holding a tablet; one dented cardboard box on the porch step. [0-6s] Fixed shot: the homeowner points at the dented box on his step while the driver stands at the bottom of the driveway. [6-12s] The homeowner waves his arms and raises his voice; the driver holds up his hands calmly and shakes his head. [12-18s] The neighbor across the yard pulls off her gloves, picks up her tablet and walks over. [18-24s] She shows the homeowner a video on the tablet; he leans in and watches; his arms drop. [24-30s] He turns to the driver, rubs the back of his neck and offers a handshake; the driver shakes it, nods, and walks back to his van while the neighbor pats the homeowner's shoulder. Audio: lawn mower in the distance, birds, truck idling, raised voice softening, no music. Style lock: same actors, same clothes, same box and porch, same camera angle, no fighting, no humiliation, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
7 HE ONLY ASKED FOR WATER
Open in ▾ 
Story spine: a homeless man on a hot day asks a food truck for a cup of water, the owner gives him a meal too, and a customer pays for it.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a picnic table at an Austin food truck park, blazing summer sun, heat shimmer, string lights unlit overhead, real outdoor sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: a homeless man, 60s, gray beard, worn cap, faded T-shirt, a small backpack; a food truck owner, 40s, Latina, black apron, bandana; a female customer, 30s, sunglasses on her head, white tank top, waiting for her order; one clear plastic cup. [0-6s] Fixed shot: the customer waits by the truck window; the man walks up slowly and points at the water cooler. [6-12s] He holds up the empty plastic cup and asks quietly; he puts a hand on his chest as if he has no money. [12-18s] The owner fills the cup with ice water and hands it to him, then looks at him for a second and turns back to the grill. [18-24s] She comes back to the window with a wrapped taco plate and holds it out; he shakes his head, she insists. [24-30s] The customer slides her card to the owner and points at the plate: "I'll pay for it." The man raises his cup to both of them and sits in the shade to eat. Audio: grill sizzling, generator hum, cicadas, ice clinking, distant chatter, no music. Style lock: same actors, same clothes, same truck and cup, same camera angle, dignified portrayal of the homeless man, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
8 LOST WITHOUT ENGLISH
Open in ▾ 
Story spine: a tourist couple who speak only Japanese can't buy a train ticket, and a commuter uses a translation app and buys the tickets with them.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a column ledge near the ticket machines in Chicago's Union Station, warm morning window light, echoing station sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: a Japanese tourist couple, 60s, the woman in a lilac jacket with a sun hat, the man in a tan vest with a camera around his neck, holding a paper map; a female commuter, late 20s, Black American, business coat, earbuds, coffee cup; one gray ticket machine. [0-6s] Fixed shot: the couple stand at the ticket machine pressing buttons; the screen beeps an error; they look at each other confused. [6-12s] The man holds the map up to a passerby who walks past without stopping. [12-18s] The commuter takes out her earbuds, watches them for a moment, then walks over. [18-24s] She opens a translation app on her phone and holds it up; the woman reads it and nods, pointing at a town on the map; the commuter taps through the machine screen for them. [24-30s] Two tickets print; the couple bow and the woman pats her arm; the commuter points them toward the right platform and they walk off waving. Audio: station echo, departure announcements, ticket machine beeps, rolling suitcases, no music. Style lock: same actors, same clothes, same machine and map, same camera angle, respectful toward the tourists, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
9 THE PHARMACY BAG ON THE BENCH
Open in ▾ 
Story spine: an elderly woman leaves her pharmacy bag at a bus stop, and a man runs after the bus to get it back to her.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a newspaper box at a bus stop in San Francisco, cool foggy daylight, real street sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: an elderly woman, 70s, short gray hair, long blue coat, a walking cane; a male bystander, 30s, delivery cyclist jacket, helmet in hand; a white paper pharmacy bag folded at the top, no labels shown; a city bus. [0-6s] Fixed shot: the woman sits on the bus stop bench with the pharmacy bag beside her; the man waits at the other end. [6-12s] The bus pulls up; she stands with her cane and steps on, leaving the white bag on the bench. [12-18s] The man notices the bag, picks it up, looks at the closing bus doors. [18-24s] He jogs along the side of the bus and knocks on the driver's window; the bus stops and the doors open. [24-30s] He steps up and hands the bag to the woman inside; she holds it to her chest and pats his hand; he steps off and the bus pulls away. Audio: bus air brakes, engine rumble, doors hissing, traffic, foghorn in the distance, no music. Style lock: same actors, same clothes, same bag and bench, same camera angle, no medicine or labels shown, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
10 THE GROCERIES ON THE STAIRS
Open in ▾ 
Story spine: an elderly man's grocery bag rips on apartment stairs and oranges roll everywhere, and a young neighbor helps pick them up and carry the rest home.
30-second vertical 9:16 raw iPhone 17 Pro Max back-camera hidden-camera video, normal speed, camera fixed on a mailbox shelf at the bottom of a brick apartment building's outdoor stairs in Philadelphia, late afternoon sun, long shadows, real street sound, imperfect framing, slight digital zoom, small shake. Actors stay the same for the whole video: an elderly man, 80s, flat cap, brown cardigan, carrying two paper grocery bags; a young woman, early 20s, curly red hair, denim jacket, earbuds, climbing behind him; a bag of oranges. [0-6s] Fixed shot: the man climbs the stairs slowly, one bag in each arm, stopping to catch his breath. [6-12s] The bottom of one bag tears; oranges spill out and roll down the steps one by one. [12-18s] The young woman stops, pulls out an earbud, and starts catching and picking up oranges. [18-24s] She gathers them into her jacket like a basket, then takes one of his bags and gestures up the stairs. [24-30s] They climb together to his door; she sets the bag and oranges on his doormat; he hands her one orange as a thank-you and she laughs and takes it. Audio: footsteps on concrete, paper tearing, oranges thudding down the steps, traffic, distant kids playing, no music. Style lock: same actors, same clothes, same stairs and oranges, same camera angle, natural behavior, respectful toward the elderly man, no overacting, no on-screen text, no subtitles, no watermarks, no logos, not cinematic, no slow motion, no CGI.
#Social Experiment #Kindness #Public Reaction #15 Seconds

How to use this prompt

  1. Get fresh ideas: copy the Master Prompt (or use Open in) and paste it into ChatGPT, Claude or Gemini. It sets up the style and rules, then you can ask it for new video ideas.
  2. Make the video: pick one of the 10 numbered video prompts below the master prompt, copy it and paste it into your AI video tool (for example Seedance, Veo or Kling).
  3. Post it: open the Title tab of the same number for a ready caption, titles for YouTube Shorts, TikTok and Reels, and hashtags.
  4. Turn on your platform's “AI-generated” label when you post AI videos.

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