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ChatGPT, the popular topic in recent periods, and its achievements show us how much artificial intelligence has developed and what it promises for the coming years. This study focuses on the differences between ChatGPT and its currently used Large Language Models. The performances of ChatGPT-3.5 and ChatGPT-4 are analyzed on Turkish homonyms. One major challenge faced by Natural Language Processing systems used in the generation of Large Language Models is identifying word-sense ambiguity. In order to detect these ambiguities, the 200 most commonly used synonyms in Turkish were selected as the sample. Then, sentences were formed by using a single homonym twice in the same sentence to convey two different meanings, and ChatGPT-3.5 and then ChatGPT-4 were asked to detect the different meanings. ChatGPTs generated outputs in which they could not know either of the two meanings and sometimes could not know both meanings. In line with the objective, the outputs from ChatGPT-3.5 and ChatGPT-4 models were compared. As expected, ChatGPT-4, with its larger parameters and datasets, outperformed ChatGPT-3.5. Success rate distribution analysis, performance variation based on the homonym, the number of characters of the homonym and the success rate are the other statistical tests carried out. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Erciyes Communication / Erciyes İletişim Dergisi is the property of Erciyes University, Faculty of Communication / Erciyes Universitesi Iletism Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Çatalhöyük International Journal of Tourism & Social Research / Çatalhöyük Uluslararası Turizm ve Sosyal Araştırmalar Dergisi is the property of Catalhoyuk International Journal of Tourism & Social Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Studies - Economics, Finance, Politics is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Androloji Bülteni (Andrology Bullettin) is the property of BAYT Ltd. Co and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

“Neyi bilebilirim? Nasıl bilebilirim? Nasıl eylemde bulunurum?” sorularına felsefe tarihi boyunca cevap aranmıştır. Yanıtların sürekli yenisi ile güncellendiği bir süreçte, bugün geldiğimiz nokta bize bilginin hakikatine yönelik araştırmaların yerini gündelik bilginin ticaretine bıraktığını göstermektedir. ChatGPT (3,5) gibi yapay zekâ dil modelleri insanların sıradan sohbet arkadaşı olmasının ötesinde, kendi ifadesi ile dili anlama, analiz etme ve üretme yeteneklerine sahip bir mekanizmadır. Yapay zekanın gelişimiyle birlikte, akademik yazım süreçlerinde yapay zekâ tabanlı dil modelleri araştırmacılara, yazarlara ve öğrencilere yazma sürecinde hız, veriye dayalı içerik üretimi ve hataların azaltılması gibi faydalar sunarken, etik kaygıları da beraberinde getirmektedir. İçinde bulunduğumuz çağ itibariyle yapay zekânın makale yazabilir olması değil, bu makaleyi nasıl değerlendirmemiz gerektiği gerçeği ile yüzleşmek zorundayız. Yapay zekâ ve insan iş birliğinin, akademi dünyasında özgün ve değerli içerikler oluşturması imkânsız değildir. Buna karşın öne sürülen düşüncenin ne derece intihal olduğu, intihal ise nasıl bir tavır izlenmesi gerektiği tartışmalıdır. Bu çalışmada, yapay zekâ ve akademik yazım alanlarının birlikte ilerlemesi ve etkileşimi dikkate alındığında yapay zekâ temelli dil programlarının yardımı ile üretilen yazıları nasıl değerlendirmemiz gerektiğini tartışacağız. Bu doğrultuda ilk bölümde, ChatGPT’nin kavramsal tahlil ve mantıksal çıkarım ilkelerini sınadık. ChatGPT kendisine sorduğumuz genel konulara belirli etik ön kabuller çerçevesinde makul yanıtlar vermektedir. Buna karşın, özellikle mantıksal akıl yürütmeye ilişkin konularda yeteri kadar başarılı olamadığı gibi tekrar eden komutlar ChatGPT’nin mantıksal tutarsız yanıtlar vermesine sebep olmaktadır. Söz konusu tutarsızlık kendisinin etik ön kabulüne de sirayet edebilmektedir. Dolayısı ile mevcut ön kabullerin nasıl tasarlandığına ilişkin soruları beraberinde getirmekte ve ChatGPT’nin güvenirliğini tartışmaya açmaktadır. İkinci bölümde ise ChatGPT’den karşılaştırmalı bir konu üzerine deneme yazmasını istedik. Doğru ve açıklayıcı komut dizimi ile kelime sınırı olmaksızın ChatGPT yardımı ile bir makale yazmak mümkündür. Buna karşın ortaya konan metnin özgünlük ve intihal denetiminin nasıl yapılacağı/yapılması gerektiği tartışmalıdır. Bu çalışmada da gösterildiği gibi çevrimiçi benzerlik tespit uygulamaları tüm dilleri algılayacak şekilde yapay zekâ desteğini henüz sağlayamadığı için İngilizce ve Türkçe aynı içeriğe sahip yazıların benzerlik oranı birbirinden tamamen farklıdır. Bununla birlikte, yapay zekâ yardımı ile yazılan bir metnin ne derece özgün kabul edileceği de ayrıca tartışmalıdır. Sadece öğrenen değil öğreten ve yazıların denetlenme ve yayımlanma sürecinde rol alacak kimselerin de faydalanabileceği ChatGPT’nin akademide ne şekilde yer alacağı/alması gerektiği ötelenemez bir meseledir. Çalışmamızı bu tartışmaya verilebilecek yanıtlar çerçevesinde ilerleterek şu sonuca ulaştık: Yapay zekânın getirdiği ilerleme araştırmacılara kullanışlı imkanlar sunsa da etik ve güvenilirlik açılarından dikkatli bir şekilde yönetilmediği takdirde araştırmacının özgün doğasından uzaklaşmasına sebep olabilir. Netice itibariyle yapay zekâ yardımı ile ortaya konan bir çalışmanın araştırmacının kendi özgünlüğünü ve etik kaygılarını içermesi esastır.

Generative artificial intelligence, which stands out from other AI systems with its ability to generate new and original content, is a disruptive technology that quickly reaches high user rates. Its ease of use and access, insights and predictions, and human-like responses are the features that enhance its rapid spread. Like any new technology, generative AI also brings disadvantages along with its benefits. The academic research conducted in this field is still in the initial stages. The purpose of this research is to understand how generative AI affects the business world through early-stage research. For this purpose, a search was conducted on the Web of Science (WoS) database by following a systematic literature review method, and 14 research articles were defined as analysis units. The data was analyzed by qualitative content analysis. As a result, four main themes were developed: (1) Applications, (2) Disadvantages, (3) Solutions, and (4) Today and future. The findings revealed that generative AI is a disruptive technology with a "double-edged sword" characteristic. While it significantly benefits businesses such as productivity, efficiency, and employee well-being, it also raises ethical and legal issues. The advantages it offers in the short term also have the potential to lead to value destruction in the long term. Overcoming these problems requires significant responsibilities for businesses, AI researchers, governments, and developer and service provider companies like OpenAI. [ABSTRACT FROM AUTHOR]

"What can I know? How can I know? How can I act?" These questions have been the subject of exploration throughout the history of philosophy. In a process where answers are constantly updated, the current state indicates a shift from inquiries into the truth of knowledge to the commodification of everyday knowledge. Artificial intelligence (AI) language models like ChatGPT (3.5) go beyond being mere companions in ordinary conversations; but in its own word, it is a mechanism with the ability to understand, analyze, and generate language. With the advancement of artificial intelligence, AI-based language models provide benefits in academic writing processes such as speed, data-driven content generation, and error reduction for researchers, writers, and students. However, this progress also brings ethical concerns. In the present era, it is crucial not only to acknowledge the capability of AI to generate articles but also to confront the reality of how to evaluate such articles. The collaboration between artificial intelligence and humans makes it possible to create original and valuable content in the academic world. However, the degree of plagiarism in the proposed idea and the appropriate response to plagiarism are arguable. In this study, we discuss how to evaluate writings produced with the assistance of AI-based language programs, considering the coevolution and interaction of artificial intelligence and academic writing. In the first section, we examined ChatGPT's conceptual analysis and logical inference principles. ChatGPT provides reasonable answers to general topics within certain ethical preconceptions. However, it may not be sufficiently successful in logical reasoning, especially in issues related to logical deduction, leading to logical inconsistencies when faced with repetitive commands. This inconsistency can also permeate its ethical preconception, raising questions about how the existing preconceptions are designed and opening a discussion about the reliability of ChatGPT. In the second section, we asked ChatGPT to write an essay on a comparative topic. It is possible to write an article with the help of ChatGPT without a word limit, using accurate and explanatory command syntax.However, how the originality and plagiarism check of the presented text should be conducted is debatable. As demonstrated in this study, online plagiarism detection services, as of now, cannot provide artificial intelligence support to detect similarities in all languages. Therefore, the similarity ratio of writings with the same content in English and Turkish can be entirely different. Moreover, the extent to which a text written with AI assistance can be considered original is also a subject of debate. ChatGPT, which can be beneficial not only for learners but also for educators and those involved in the scrutiny and publishing process of writings, presents an unavoidable issue in how it should be integrated into academia. Moving forward within the framework of possible answers to this debate, we have reached the following conclusion: While the progress brought by artificial intelligence offers useful opportunities for researchers, if not carefully managed from ethical and reliability perspectives, it can lead to the researcher deviating from their originality. Ultimately, a study produced with the assistance of artificial intelligence should inherently encompass the researcher's originality and ethical concerns. [ABSTRACT FROM AUTHOR]

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sohbet yazılımları, personel ve işletme maliyetlerinin azaltılmasını mümkün kıldığından sağlıktan e-ticarete kadar pek çok farklı sektörde aktif olarak kullanılmaya başlanmıştır. Kullanıcı ve sohbet yazılımından oluşan taraflar arasında kurulduğu düşünülen sözleşmenin geçerliliği ise bu tartışmanın temelini oluşturmaktadır. Kullanıcının sohbet yazılımını kullanmaya başlamadan kendisine sunulan şartları ve sözleşmeyi kabul etmeden önce muhatap olduğu karşı tarafın gerçek kişi mi yoksa sanal kişi mi olduğunu bilmemesinden kaynaklı olarak kabul edeceği veya reddeceği sözleşme şartları da değişkenlik gösterecektir. Sohbet yazılımını temsilen kullanıcıyla iletişime geçenin bilinebilir olmaması ve sohbet yazılımının kullanıcının kişisel verilerine göre düzenlenmiş ileti oluşturması durumları, sözleşme özerkliği ve irade özgürlüğü bakımından yapılan sözleşmenin geçerliliğini doğrudan etkilemektedir. Bununla birlikte, sohbet yazılımlarının verdikleri cevapların kaynağını oluşturan ve 5846 sayılı Fikir ve Sanat Eserleri Kanunu kapsamında hak sahipliği tartışmalı olan büyük veri yığınları kullanıcıların kişisel verilerini de içermektedir. Her kişisel veri işleme faaliyetinin temelini oluşturan aydınlatma yükümlülüğünün yerine getirilmesi bakımından çeşitli problemler içeren ChatGPT gibi sohbet yazılımlarınca yapılan işleme faaliyetinin hukuka uygun olmadığı da bir başka sorun olarak göze çarpmaktadır. Bu çalışmada, sohbet yazılımlarının kullanımıyla birlikte ortaya çıkan hukuki uyuşmazlıkların var olan mevzuat ile karşılanamadığı, bu konuya ilişkin özel düzenlemelerin yapılması gerekliliği ve halihazırdaki mevzuatın sohbet yazılımları için nasıl yorumlanabileceğine yer verilmiştir.

Copyright of Journal of Turkish Educational Sciences is the property of Journal of Turkish Educational Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Usak University Journal of Educational Research is the property of Usak University Journal of Educational Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ASBU Law Journal is the property of Social Sciences University of Ankara and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Marmara Üniversitesi Hukuk Fakültesi Hukuk Araştırmaları Dergisi is the property of Marmara University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Studies - Language & Literature is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sportive is the property of Journal of Sportive and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Artificial intelligence applications, which are gaining currency day by day due to their new features, in parallel with the development of technology, have attracted attention with the development of neural machine translation models, such as ChatGPT in the field of translation, especially in recent times, and have been regarded as a valuable phase and promising development in the translation world. With the development of ChatGPT, which is a neural machine translation model, "translation proofreading" has gained popularity in the translation industry and some changes have been made in translators' job descriptions. Also, the question that has been a topic of discussion in the translation industry since the first years of the development of machine translation models has gained currency again: "Can machine translations replace translators?" The purpose of this study is to describe the quality of Arabic-Turkish translation outputs and the distance covered by artificial intelligence in the context of translation as a result of these developments. Artificial intelligence-based machine translation models, their development stages, and their most recent stage were included in the study, and then the ChatGPT Arabic-Turkish translation outputs were analyzed comparatively. In this study, the language of the source text has been determined to be Arabic and the language of the target text to be Turkish, and comparative analyses were carried out within the framework of ChatGPT translation outputs and human translations. Plain text, literary text, and technical texts, which were translated from Arabic into Turkish, were re-translated from Arabic into Turkish using ChatGPT, and the ChatGPT translation outputs were examined in the context of semantic and linguistic equivalence in general. The success rate achieved in the translation of different text types in the Arabic-Turkish language pair were evaluated. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Strategic & Social Research is the property of Mehmet Akif Ersoy University, Social Science Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Erciyes Akademi is the property of Erciyes Universitesi Sosyal Bilimler Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It is claimed that ChatGPT, developed by OpenAI, an artificial intelligence research company based in the United States (USA), is the most important product of artificial intelligence technologies in recent years. This Large Language Model (LLM), which has the ability to answer questions and create explanatory texts using the data obtained from a large data set, is expected to increase efficiency in the field of accounting, as it does in many areas. On the other hand, there are questions about how ChatGPT will contribute to accounting business and processes. In this study, which was written based on these question marks, it was aimed to test the competence of ChatGPT in basic accounting subjects. In accordance with this purpose; Basic questions prepared on financial accounting, cost-management accounting and auditing were directed to the model and evaluations were made within the framework of the answers given. In line with the findings of the study, it is possible to say that ChatGPT will find significant application opportunities in the field of accounting in the coming years. However, it should be noted that the model has features that need improvement in accounting practices. For all that, it is estimated that the new versions that will be developed with some improvements in the near future will produce very successful works, especially in preaccounting issues. In the study, it has been concluded that although ChatGPT cannot undertake the tasks within the scope of accounting business and processes alone, it will play an important role in increasing the productivity of practitioners as an auxiliary element. [ABSTRACT FROM AUTHOR]

Artificial intelligence and machine learning are considered to be one of the most important technological advancements in recent years. This technology focuses on enabling computers and robots to acquire human-like intelligence and learning abilities. Artificial intelligence is being used in various fields, particularly in industries, healthcare, internet applications, information technology, finance, and education, and it has a significant impact. By providing faster, more accurate, and more efficient decision-making capabilities, artificial intelligence and machine learning make people's lives easier and more productive. However, alongside the positive effects, these technologies also bring about many negative impacts. Researchers are divided into two groups regarding this issue; while some embrace the advancements optimistically, others criticize them harshly. The potential positive or negative effects of artificial intelligence and machine learning technologies on human life in the future are a subject of great curiosity and concern. This study aims to understand the potential of ChatGPT, a popular example of artificial intelligence and machine learning technology in recent days. As it was directly used in the preparation of this article, it has been included as a co-author. [ABSTRACT FROM AUTHOR]

Copyright of RumeliDE Journal of Language & Literature Research / RumeliDE Dil ve Edebiyat Araştırmaları Dergisi is the property of RumeliDE Uluslararasi Hakemli Dil & Edebiyat Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Galatasaray Üniversitesi Hukuk Fakültesi Dergisi is the property of GALATASARAY UNIVERSITESI HUKUK FAKULTESI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)