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Idea Browsing on Digital Participation Platforms: A Mixed-methods Requirements Study

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Abstract

Digital participation platforms (DPP) are websites initiated by local governments through which citizens can post and react to ideas for their city. In practice, the majority of DPP users browse the posted ideas without contributing any. This activity, referred to as lurking, has widely recognized positive outcomes, especially in a citizen participation context. However, it has been devoted little attention. In practice, the idea browsing features available on current DPP are limited, and the literature has not evaluated the available approaches nor studied the requirements for idea browsing. In this paper, we report on an evaluation of the filterable list, which is the most common idea browsing approach on DPP. Our findings show that it lacks stimulation hedonic quality and call for a more stimulating approach. Thus, we conducted 11 semi-structured interviews to collect requirements and found that idea browsing on DPP should be supported by the combination of (1) a stimulating interactive representation such as circle packing or thematic trees displayed as entry point and (2) a filterable list for deeper exploration. This article is the first to study requirements for idea browsing features on DPP.
Original languageEnglish
Title of host publicationResearch Challenges in Information Science
Subtitle of host publicationInformation Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings
EditorsSelmin Nurcan, Andreas L. Opdahl, Haralambos Mouratidis, Aggeliki Tsohou
PublisherSpringer
Pages35-50
Number of pages16
ISBN (Print)9783031330797
DOIs
Publication statusPublished - May 2023

Publication series

NameLecture Notes in Business Information Processing
Volume476 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Funding

BeCoDigital]. Financial support was also received from the European Regional Development Fund (ERDF) for the Wal-e-Cities project with award number [ETR121200003138] and from the Research Public Service of Wallonia (SPW Recherche) for the project ARIAC by DIGITALWALLONIA4AI with award number [2010235]. Acknowledgement. This research was supported by ERDF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16_019/0000822). It was also co-founded by the European Union under Grant Agreement No. 101087529. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. Acknowledgements. This research is supported by the Estonian Research Council (PRG1226) and the European Research Council (PIX Project). Unit 2023-2027 (CEX2021-001201-M) funded by MCIN/AEI /10.13039/501100011033, and the RCIS community for their valuable insights that helped develop this work. Acknowledgements. This work has been developed under the project Digital Knowledge Graph – Adaptable Analytics API with the financial support of Accenture LTD, the Generalitat Valenciana through the CoMoDiD project (CIPROM/2021/023), the Spanish State Research Agency through the DELFOS (PDC2021-121243-I00) and SREC (PID2021-123824OB-I00) projects, MICIN/AEI/10.13039/501 100011033 and co-financed with ERDF and the European Union Next Generation EU/PRTR. and H2020 Programmes under grant agreements 101070455 (DYNABIC), 101095634 (ENTRUST) and 101020416 (ERATOSTHENES), and the Research Council of Norway’s BIA-IPN programme under grant agreement 309700 (FLEET).

FundersFunder number
Accenture LTD
ENTRUST101020416
European Union Next Generation EU/PRTR
H2020 Programmes101070455, 101095634
Research Public Service of Wallonia2010235
SRECPID2021-123824OB-I00, MICIN/AEI/10.13039/501 100011033
European Commission101087529
European Commission
European Research Council
Eesti TeadusagentuurPRG1226
Eesti Teadusagentuur
Generalitat ValencianaCIPROM/2021/023
Generalitat Valenciana
Ministerio de Ciencia e Innovación
Norges Forskningsråd309700
Norges Forskningsråd
European Regional Development FundCZ.02.1.01/0.0/0.0/16_019/0000822, ETR121200003138
European Regional Development Fund
Agencia Estatal de InvestigaciónPDC2021-121243-I00
Agencia Estatal de Investigación

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • AttrakDiff
    • Content browsing
    • Digital participation platform
    • Lurking
    • Mixed-methods
    • Requirements

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