Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/31366
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gemenis, Kostas | - |
dc.date.accessioned | 2024-02-20T12:11:03Z | - |
dc.date.available | 2024-02-20T12:11:03Z | - |
dc.date.issued | 2024-01-30 | - |
dc.identifier.citation | Frontiers in Political Science, 2024, vol. 6, articl. no. 1286893 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/31366 | - |
dc.description.abstract | The voter information tools collectively known as “Voting Advice Applications” (VAAs) have emerged as particularly popular tools in the realm of E-participation. Today, VAAs are integral parts of election campaigns in many countries around the world as they routinely engage millions of citizens, in addition to political actors and the media. This contribution assesses the integration of Artificial Intelligence (AI) in the design and dissemination of VAAs, considering normative, ethical, and methodological challenges. The study provides a comprehensive overview of AI applications in VAA development, from formulating questions to disseminating information, and concludes by highlighting areas where AI can serve as a valuable tool for enhancing the positive impact of VAAs on democratic processes. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Frontiers in Political Science | en_US |
dc.rights | Attribution 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Voting advice applications | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Text mining | en_US |
dc.subject | Recommender systems | en_US |
dc.subject | Chatbots | en_US |
dc.title | Artificial intelligence and voting advice applications | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Political Science | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.3389/fpos.2024.1286893 | en_US |
dc.relation.volume | 6 | en_US |
cut.common.academicyear | 2023-2024 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.author.dept | Department of Communication and Internet Studies | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-3973-5675 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Gemenis (2024).pdf | 1.24 MB | Adobe PDF | View/Open |
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