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Publication:

A deep learning approach to predict individual internet voting use based on electoral register data

Date

Date

Date
2022
Conference or Workshop Item
Published version

Citations

Citation copied

Kovacs, M., & Serdült, U. (2022). A deep learning approach to predict individual internet voting use based on electoral register data. 5–8. https://doi.org/10.1109/DGTi-CON53875.2022.9849183

Abstract

Abstract

Abstract

The Swiss cantons are in charge of implementing all matters regarding referendum votes and elections, including the option to offer internet voting to their citizens residing in Switzerland or abroad. Geneva as one of the internet voting pioneers in Switzerland had internet voting trials on and off since 2003. However, due to security concerns and financial issues, internet voting in Switzerland in general is currently on hold. In this unique study based on electoral register data originating from 2008 to 2018, we classify individual

Metrics

Downloads

5 since deposited on 2022-09-08
Acq. date: 2025-11-14

Views

92 since deposited on 2022-09-08
Acq. date: 2025-11-14

Citations

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
2022 International Conference on Digital Government Technology and Innovation (DGTi-CON)

Event Location

Event Location

Event Location
Bangkok

Event Start Date

Event Start Date

Event Start Date
2022-03-24

Event End Date

Event End Date

Event End Date
2022-03-25

Publisher

Publisher

Publisher
IEEE

Page range/Item number

Page range/Item number

Page range/Item number
5

Page end

Page end

Page end
8

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2022-09-08

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-1-6654-9555-4

OA Status

OA Status

OA Status
Closed

Free Access at

Free Access at

Free Access at
Unspecified

Metrics

Downloads

5 since deposited on 2022-09-08
Acq. date: 2025-11-14

Views

92 since deposited on 2022-09-08
Acq. date: 2025-11-14

Citations

Citations

Citation copied

Kovacs, M., & Serdült, U. (2022). A deep learning approach to predict individual internet voting use based on electoral register data. 5–8. https://doi.org/10.1109/DGTi-CON53875.2022.9849183

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Files

Files

Files
Files available to download:1

Files

Files

Files
Files available to download:1
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