Everybody thinks online participation is great – for somebody else: a qualitative and quantitative analysis of perceptions and expectations of online participation in the Green Party Germany
Everybody thinks online participation is great – for somebody else: a qualitative and quantitative analysis of perceptions and expectations of online participation in the Green Party Germany
Based on a case study from the Green Party Germany, we discuss the expectations and potential effects of the introduction of new online participation opportunities. These methods are often used in hopes of drawing in a wider group of participants, but existing literature on digital inequality suggests that this is unlikely to happen. Applying a mixed methods approach, we investigate how likely the expectations related to these new opportunities are to be met. We used semi-structure interviews to draw out what effects party members think online participation will have. We then conducted a survey asking members about their plans to change their behaviour. Comparing expectations to prospective behavioural changes, we find that the high hopes of both party members and leaders – to draw in those members who currently do not engage – are likely to be disappointed. Members who are better off, better educated, and already more active, will likely benefit more than those the party hopes to engage. We argue that this is linked to the prevailing digital divide, and that those who are targeted for more participation need to be more actively addressed to achieve broader participation.
digital divide, Inclusion, Mobilisation, Non-use, participation, Political parties, Reinforcement
287-296
Association for Computing Machinery
Thuermer, Gefion
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Roth, Silke
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O'Hara, Kieron
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Staab, Steffen
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25 May 2018
Thuermer, Gefion
4d516dd0-840a-4ae0-a3f1-cda3d5614e03
Roth, Silke
cd4e63d8-bd84-45c1-b317-5850d2a362b6
O'Hara, Kieron
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Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Thuermer, Gefion, Roth, Silke, O'Hara, Kieron and Staab, Steffen
(2018)
Everybody thinks online participation is great – for somebody else: a qualitative and quantitative analysis of perceptions and expectations of online participation in the Green Party Germany.
In WebSci '18 Proceedings of the 10th ACM Conference on Web Science.
Association for Computing Machinery.
.
(doi:10.1145/3201064.3201069).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Based on a case study from the Green Party Germany, we discuss the expectations and potential effects of the introduction of new online participation opportunities. These methods are often used in hopes of drawing in a wider group of participants, but existing literature on digital inequality suggests that this is unlikely to happen. Applying a mixed methods approach, we investigate how likely the expectations related to these new opportunities are to be met. We used semi-structure interviews to draw out what effects party members think online participation will have. We then conducted a survey asking members about their plans to change their behaviour. Comparing expectations to prospective behavioural changes, we find that the high hopes of both party members and leaders – to draw in those members who currently do not engage – are likely to be disappointed. Members who are better off, better educated, and already more active, will likely benefit more than those the party hopes to engage. We argue that this is linked to the prevailing digital divide, and that those who are targeted for more participation need to be more actively addressed to achieve broader participation.
Text
Everybody thinks online participation is great
- Accepted Manuscript
More information
Published date: 25 May 2018
Venue - Dates:
10th ACM Annual Conference on Web Science: Web Science 2018, BelleVUe Building, Vrije Universiteit (VU) Amsterdam, Amsterdam, Netherlands, 2018-05-27 - 2018-05-30
Keywords:
digital divide, Inclusion, Mobilisation, Non-use, participation, Political parties, Reinforcement
Identifiers
Local EPrints ID: 419199
URI: http://eprints.soton.ac.uk/id/eprint/419199
PURE UUID: 4d1545c9-4e5e-4ef5-adbc-4dbf531cc812
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Date deposited: 09 Apr 2018 16:30
Last modified: 12 Nov 2024 02:51
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Author:
Gefion Thuermer
Author:
Steffen Staab
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