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                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Yeni Medya</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2587-1285</issn>
                                                                                            <publisher>
                    <publisher-name>Ankara Hacı Bayram Veli Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.55609/yenimedya.1627481</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>New Media</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Yeni Medya</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <trans-title-group xml:lang="tr">
                                    <trans-title>Dünyadaki/Türkiye’deki E-Dilekçe Portalları ile CİMER&#039;in Yönetişim İlkeleri ve Yapay Zekâ/Büyük Veri Perspektifi Bağlamında Değerlendirilmesi</trans-title>
                                </trans-title-group>
                                                                                                                                                                                                <article-title>Evaluation of E-Petition Portals in the World/Türkiye and CİMER in the Context of Governance Principles and Artificial Intelligence/Big Data Perspective</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-3426-9812</contrib-id>
                                                                <name>
                                    <surname>Demirci</surname>
                                    <given-names>Buğrahan</given-names>
                                </name>
                                                                    <aff>ANKARA UNIVERSITY, FACULTY OF COMMUNICATION</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20251223">
                    <day>12</day>
                    <month>23</month>
                    <year>2025</year>
                </pub-date>
                                                    <issue>19</issue>
                                        <fpage>16</fpage>
                                        <lpage>49</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20250127">
                        <day>01</day>
                        <month>27</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20250923">
                        <day>09</day>
                        <month>23</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2016, Yeni Medya</copyright-statement>
                    <copyright-year>2016</copyright-year>
                    <copyright-holder>Yeni Medya</copyright-holder>
                </permissions>
            
                                                                                                <trans-abstract xml:lang="tr">
                            <p>Cumhurbaşkanlığı İletişim Merkezi (CİMER), Türkiye’de dilekçe ve bilgi edinme haklarının kullanımına aracılık ederek vatandaşların demokratik katılımını sağlayan elektronik bir kamusal halkla ilişkiler platformudur. Araştırmanın sorunsalı CİMER’de kolektif dilekçe seçeneğinin bulunmaması, dilekçelerin yayınlanmaması ve yapay zekâ entegrasyonunun eksikliğinin yönetişim ilkelerinin etkin uygulanmasını sınırlandırmasıyla ilgilidir. Çalışmanın amacı, Türkiye’de ve dünyada e-Dilekçe sistemlerinin katılımı artırıcı uygulamalarını ve yapay zekâ ile büyük veri teknolojilerine dair ampirik araştırmalardan elde edilen verimlilik temelli bulguları inceleyerek CİMER’e yönetişim odaklı öneriler sunmaktır. Araştırmada, Avrupa ve Kuzey Amerika ülkelerinden (Almanya, Birleşik Krallık, Rusya, Estonya, Kanada) birer, Hindistan ile Türkiye’den ikişer ulusal devlet platformu; Avrupa Birliği’nden üç uluslararası resmî sistem ve bir gayriresmî portal (Change.org) olmak üzere toplam 13 e-Dilekçe ortamı örneklem olarak belirlenmiştir. Tematik analiz yönteminden yararlanılan çözümlemede, örneklem; katılımcılık, şeffaflık, hesap verebilirlik, verimlilik ilkeleri çerçevesinde değerlendirilmiştir. Bulgular, bazı platformların kolektif dilekçe ve vatandaş katılımı araçları ile etkileşimi artırdığını, dilekçe içeriklerinin kamuya açık olmasının şeffaflık/hesap verebilirliği güçlendirdiğini ve yapay zekâ uygulamalarının verimliliğe katkı sağladığını göstermiştir. Bu doğrultuda CİMER için “kamuoyuna açık imza sistemi”, dilekçe metni ile yanıtların yayınlanabilmesi ve kanun düzeyinde dilekçe başvurusu yapılabilmesi gibi öneriler geliştirilmiştir. Yapay zekâ bağlamında ise sınıflandırma, özetleme, dilekçe/yanıt metni yazımı, yazım denetimi, acil dilekçelerin tespiti ve sohbet robotu olmak üzere altı öneri sunulmuştur. Önerilerin dilekçe işlemlerinde isabetliliği ve mükerrer dilekçelerin önlenmesini sağlayarak verimliliği destekleyebileceği, vatandaşların geri bildirim mekanizmasını etkin görmesini temin ederek şeffaflık ve hesap verebilirliği güçlendirebileceği ve kolektif etkileşim imkânı sunarak vatandaş katılımını artırabileceği sonucuna varılmıştır.</p></trans-abstract>
                                                                                                                                    <abstract><p>The Presidential Communication Centre (CİMER) is an electronic government public relations platform that promotes democratic participation by mediating the exercise of the right to petition and right to information in Türkiye. The research problem concerns the lack of a collective petition option in CİMER, the non-publication of petitions, and the lack of AI integration, which limits the effective implementation of governance principles. The aim of this study is to examine the participatory practices of e-petition systems in Türkiye and worldwide, as well as the efficiency-based findings obtained from empirical research on AI and big data technologies, in order to provide governance-focused recommendations to CİMER. In the study, a total of 13 e-petition environments were selected as the sample, including one national government platform each from Europe and North America (Germany, United Kingdom, Russia, Estonia, Canada), two each from India and Türkiye; three international official systems from the European Union; and one unofficial portal (Change.org). The thematic analysis method was used, and the sample was evaluated within the framework of the principles of participation, accountability, transparency, and efficiency. The findings showed that some platforms increased interaction through collective petition and citizen participation tools, that making petition content publicly available strengthened transparency and accountability, and that AI applications contributed to increased efficiency. In this context, recommendations have been developed for CİMER, such as a “public signature system,” the ability to publish petition texts and responses, and the ability to submit petitions at the legislative level. In the context of AI, the following six recommendations were presented: classification; summarization; petition/response text writing; spell check tool; identification of urgent petitions; and chatbots. It was concluded that the proposals could support efficiency by ensuring the accuracy of petitioning processes and preventing duplicate petitions, strengthen transparency and accountability by ensuring that citizens perceive the feedback mechanism as effective, and increase citizen participation by offering opportunities for collective interaction.</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>CİMER</kwd>
                                                    <kwd>  Petition</kwd>
                                                    <kwd>  Government Public Relations</kwd>
                                                    <kwd>  Artificial Intelligence</kwd>
                                                    <kwd>  Big Data</kwd>
                                            </kwd-group>
                            
                                                <kwd-group xml:lang="tr">
                                                    <kwd>CİMER</kwd>
                                                    <kwd>  Dilekçe</kwd>
                                                    <kwd>  Kamusal Halkla İlişkiler</kwd>
                                                    <kwd>  Yapay Zekâ</kwd>
                                                    <kwd>  Büyük Veri</kwd>
                                            </kwd-group>
                                                                                                                                        </article-meta>
    </front>
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