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Dark finance: Exploring deceptive design in investment apps

Authors: Rakovic, Ivana;

Dark finance: Exploring deceptive design in investment apps

Abstract

Det ikke lenger vanskelig å bli investor, siden meglere har blitt lett tilgjengelige via mobil. Fintech selskaper lager mobile løsninger som utvider målgruppen i aksjemarkedet, ved å aktivt redusere terskelen ved å starte med investering. Det er fornuftig å anta at fortjeneste er en viktig del av agendaene til disse selskapene, og én måte å tjene på, er å få investorer til å bruke mer på platformene deres. Målet var å kartlegge hvordan nøyaktig fintech selskaper bruker designmønstrer til å påvirke brukernes persepsjon og avgjørelser når de investerer, slik at virksomheten får større fortjeneste. Vi diskuterer hvilken effekt villedende designmønstrer har på investorer, ved å trekke ut fra 1) literatur om villedende mønstre, 2) resultater av en deskriptiv studie, 3) innsikt fra brukerintervjuer. Vi analyserte 26 mobil apper tilgjengelige i Norge, for å kartlegge hvordan de appene brukte villedende designmønstre, og intervjuet 6 personer om deres persepsjon av finansapper de bruker for å håndtere investeringene sine. Funnene viser at nesten alle apper brukte villedende designmønstrer til varierende grader, og at graden apper brukte manipulerende design i, varierte mellom bankapper og skyggebank apper. Brukere utrykte at de var misførnøyde med tilstedeværelsen av villedende designmønstre da de ble spurt om spesifike eksempler, men de kunne ikke alltid oppdage ondsinnede trekk, på egen hånd.

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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!
0
Average
Average
Average
Green