There’s something amiss at the mall. Elderly mallwalkers are being devoured by an unseen creature. A mad scientist is building a doomsday device out of Radio Shack parts. Post apocalypse, survivors attempt to recreate their 90s memories in a ruined mall. Each day when a boy checks Google Maps, the fancy new mall looks bigger—and closer to his village. Escalators to Hell: Shopping Mall Horrors is a new collection of horror and dark sci-fi stories about shopping malls past, present, and future.
Emerging in the United States as a paragon of post-World War II prosperity, the shopping mall was imagined as a cheery, futuristic, well-designed alternative to the messy and hazardous downtowns of old, providing housewives and children with a safe space to shop and entertain themselves. Malls served middle-class suburbanites dependent on cars and eager to spend their disposable income on mass produced goods.
The mall has often been a subject of derision as a harbinger of cultural zombification and whitewashing. As the decades have passed, the mall has declined in prestige but also become more accessible to broader groups of people in the US. Shopping malls, too, have spread to most countries around the world. Pop-culture has viewed malls through many lenses: optimist and innovative, symbolic of racist city planning and policing, a source of nostalgia for freer spending and youthful naivety, a place for community, and a signifier of a nation’s wealth and connections to a global consumer network.
But in this collection, one thing is universal: something ominous is happening at the local mall. Escalators to Hell: Shopping Mall Horrors is a document of one-stop shopping gone wrong.
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Market Genres
Genres
Fantasy
Horror
Humor
Science Fiction
Market Types, Lengths & Pay Scale
Originals
Short Story
1000 to 5000 words
5 cents/word
Market Submission Types
AI Submissions?: Not Allowed
Electronic Submissions?: Yes
Postal Submissions?: No
Multiple Submissions?: No
Simultaneous Submissions?: Yes
Translations: Original Language and Translations
Market-Provided Data
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