From Optimism to Concern: Unveiling Sentiments and Perceptions Surrounding ChatGPT on Twitter.
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| Title: | From Optimism to Concern: Unveiling Sentiments and Perceptions Surrounding ChatGPT on Twitter. |
|---|---|
| Authors: | Demirel, Sadettin1 (AUTHOR), Kahraman-Gokalp, Elif2 (AUTHOR), Gündüz, Uğur3 (AUTHOR) ugunduz@gmail.com |
| Source: | International Journal of Human-Computer Interaction. Jun2025, Vol. 41 Issue 12, p7292-7314. 23p. |
| Subjects: | Semantic network analysis, Location data, Artificial intelligence, ChatGPT, Computer software |
| Abstract: | Artificial intelligence (AI) technologies, as a product of processes aimed at imitating human intelligence through computers and software, affect our daily lives in various aspects, including cultural, technological, and economic. The advent of ChatGPT, developed by OpenAI, signifies a pivotal AI advancement in human language comprehension and generation, heralding profound implications across societal, economic, and cultural dimensions. However, a notable gap exists in scholarly literature concerning the examination of perceptions and discussions surrounding ChatGPT. This study aims to address this gap by analyzing Twitter conversations, comprising 1.1 million tweets containing "ChatGPT" or "#ChatGPT" between December 1 2022 and June 1 2023, with geolocation data. Employing a text as data approach encompassing text, sentiment, and semantic network analyses, sentiment polarity and lexical patterns were explained, while semantic network analysis revealed central expressions and prominent themes in Twitter discussions. The study highlights the social effects of AI technologies from the perspective of Twitter users and reveals the sentimental tendency and themes in tweets with geographical and economic dimensions. The findings reflect the prevalence of positive sentiment and hype toward ChatGPT while there are also concerns regarding privacy, cybersecurity, and misuse of AI tools. More importantly, content generation, technical aspects, business applications, educational use, and competitors are among the main themes of ChatGPT-related discussions on Twitter. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185859961 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: From Optimism to Concern: Unveiling Sentiments and Perceptions Surrounding ChatGPT on Twitter. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Demirel%2C+Sadettin%22">Demirel, Sadettin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kahraman-Gokalp%2C+Elif%22">Kahraman-Gokalp, Elif</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gündüz%2C+Uğur%22">Gündüz, Uğur</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ugunduz@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Jun2025, Vol. 41 Issue 12, p7292-7314. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Semantic+network+analysis%22">Semantic network analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Location+data%22">Location data</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Artificial intelligence (AI) technologies, as a product of processes aimed at imitating human intelligence through computers and software, affect our daily lives in various aspects, including cultural, technological, and economic. The advent of ChatGPT, developed by OpenAI, signifies a pivotal AI advancement in human language comprehension and generation, heralding profound implications across societal, economic, and cultural dimensions. However, a notable gap exists in scholarly literature concerning the examination of perceptions and discussions surrounding ChatGPT. This study aims to address this gap by analyzing Twitter conversations, comprising 1.1 million tweets containing "ChatGPT" or "#ChatGPT" between December 1 2022 and June 1 2023, with geolocation data. Employing a text as data approach encompassing text, sentiment, and semantic network analyses, sentiment polarity and lexical patterns were explained, while semantic network analysis revealed central expressions and prominent themes in Twitter discussions. The study highlights the social effects of AI technologies from the perspective of Twitter users and reveals the sentimental tendency and themes in tweets with geographical and economic dimensions. The findings reflect the prevalence of positive sentiment and hype toward ChatGPT while there are also concerns regarding privacy, cybersecurity, and misuse of AI tools. More importantly, content generation, technical aspects, business applications, educational use, and competitors are among the main themes of ChatGPT-related discussions on Twitter. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185859961 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2024.2392964 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 7292 Subjects: – SubjectFull: Semantic network analysis Type: general – SubjectFull: Location data Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: ChatGPT Type: general – SubjectFull: Computer software Type: general Titles: – TitleFull: From Optimism to Concern: Unveiling Sentiments and Perceptions Surrounding ChatGPT on Twitter. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Demirel, Sadettin – PersonEntity: Name: NameFull: Kahraman-Gokalp, Elif – PersonEntity: Name: NameFull: Gündüz, Uğur IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 41 – Type: issue Value: 12 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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