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            <front>

                <journal-meta>
                                                                <journal-id>etkileşim</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Etkileşim</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">2636-7955</issn>
                                        <issn pub-type="epub">2636-8242</issn>
                                                                                            <publisher>
                    <publisher-name>Uskudar University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.32739/etkilesim.2023.6.12.215</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Communication and Media Studies (Other)</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>İletişim ve Medya Çalışmaları (Diğer)</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Artificial Intelligence in Digital Public Relations: A Delphi Study</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="tr">
                                    <trans-title>Dijital Halkla İlişkilerde Yapay Zekâ: Bir Delphi Çalışması</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-8096-9177</contrib-id>
                                                                <name>
                                    <surname>Çataldaş</surname>
                                    <given-names>İbrahim</given-names>
                                </name>
                                                                    <aff>MERSİN ÜNİVERSİTESİ, İLETİŞİM FAKÜLTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0003-4103-2386</contrib-id>
                                                                <name>
                                    <surname>Özgen</surname>
                                    <given-names>Ebru</given-names>
                                </name>
                                                                    <aff>MARMARA ÜNİVERSİTESİ, İLETİŞİM FAKÜLTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20231027">
                    <day>10</day>
                    <month>27</month>
                    <year>2023</year>
                </pub-date>
                                                    <issue>12</issue>
                                        <fpage>84</fpage>
                                        <lpage>103</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20230620">
                        <day>06</day>
                        <month>20</month>
                        <year>2023</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20230920">
                        <day>09</day>
                        <month>20</month>
                        <year>2023</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2018, Etkileşim</copyright-statement>
                    <copyright-year>2018</copyright-year>
                    <copyright-holder>Etkileşim</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Digitalization, which started in the 1950s and accelerated after the 2000s, has brought many new technologies. Artificial intelligence is one of these technologies and it has put the field of public relations into a new transformation process. Today, artificial intelligence is used in some tasks in digital public relations; however, the role of artificial intelligence in the future of digital public relations still remains a mystery. In this study, artificial intelligence is discussed in the context of digital public relations. For this reason, the main purpose of this study is to identify new technologies and trends that may affect the future transformation of public relations. In accordance with the purpose of the study, expert opinions were used by applying the delphi technique in the research part. In the first round of this research, which consists of two rounds, it was tried to obtain as many views as possible on the research topic. In the second round of the research, the points on which the experts agreed and disagreed were determined. As a result of the research, experts agreed on 55 of 59 opinions and did not agree on 4 of them. Depending on the findings of the research, it is possible to say that digital public relations activities in the future will be based on human and artificial intelligence cooperation.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="tr">
                            <p>1950’li yıllarda başlamakla birlikte 2000’li yıllardan sonra hız kazanan dijitalleşme, birçok yeni teknolojiyi beraberinde getirmiştir. Bunlardan biri olan yapay zekâ, çeşitli iş ve faaliyet alanlarını dönüştürdüğü gibi halkla ilişkiler alanını da yeni bir dönüşüm sürecine sokmuştur. Günümüzde yapay zekâ, dijital halkla ilişkilerde bazı görevlerde kullanılmaktadır; ancak yapay zekanın dijital halkla ilişkiler alanının geleceğindeki rolü halen tam olarak belirlenmemiştir. Bu çalışmada yapay zekâ teknolojisi dijital halkla ilişkiler bağlamında ele alınmıştır. Bu nedenle yapay zekâ başta olmak üzere halkla ilişkiler alanının gelecekteki dönüşümüne etki edebilecek yeni teknoloji ve trendleri belirlemek bu çalışmanın temel amacını oluşturmuştur. Çalışmanın amacına uygun olarak araştırma kısmında delphi tekniğine başvurularak uzman görüşlerinden faydalanılmıştır. İki turdan oluşan bu araştırmanın ilk turunda araştırma konusuna yönelik olarak mümkün olan en fazla görüş elde edilmeye çalışılmıştır. Araştırmanın ikinci turunda ise ilk turda elde edilen görüşlere ilişkin olarak uzmanların üzerinde uzlaştığı ve uzlaşmadığı hususlar belirlenmiştir. Bu kapsamda araştırmanın ilk turunda 4 farklı tema altında toplam 59 farklı görüş elde edilirken ikinci turda ise bu görüşlerin 55’i üzerinde uzlaşıldığı ve 4’ü üzerinde uzlaşılmadığı belirlenmiştir. Araştırmanın bulgularına bağlı olarak gelecekte dijital halkla ilişkiler faaliyetlerinin insan ve yapay zekâ iş birliğine dayalı olarak gerçekleşeceğini söylemek mümkündür.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Digital Public Relations</kwd>
                                                    <kwd>  Artificial Intelligence</kwd>
                                                    <kwd>  Delphi Technique</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="tr">
                                                    <kwd>Dijital Halkla İlişkiler</kwd>
                                                    <kwd>  Yapay Zekâ</kwd>
                                                    <kwd>  Delphi Tekniği</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
    <back>
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