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Ghost in the Mall: The Affective and Hauntological Potential of Dead Mall Ruins

Authors: Brown, Maria-Gemma;

Ghost in the Mall: The Affective and Hauntological Potential of Dead Mall Ruins

Abstract

Dead malls haunt the internet. These malls are either left abandoned to decay, to be slowly reclaimed by nature, or are dying with few shops and fewer people, open but eerily empty and quiet. Dead malls are dreamworlds, portals to the dreams of the past (Buck-Morss, 1995; 2000) – a time when the mall was a mecca of mass consumer-capitalist society. The affects of these dreams imbue the mall – a sense of hope and optimism for a new world promised by consumer culture, global connectivity, and technological advances. But these promised worlds never arrived, they have fallen into ruin and nothing has come to replace them. An internet scene has grown in these ruins. They call themselves “dead mall enthusiasts” – an intimate public that shares and expresses worldviews, memories, and affects centered around the figure of the dead mall. Enthusiasts sense the affective intensities of decaying 20th century consumer-capitalist futures that haunt these ruins – they sense “hauntological affects”. The dead mall and its enthusiasts alert us to our affective potential; they remind us of our ability to imagine the future.

Keywords

Affect, Hauntology, YouTube, Reddit, Dead mall

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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