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Title |
Is GenAI Male ot Femaile? Gender Prediction of Generated Tweets using GenAI |
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Author |
Jalal S Alowibdi |
| Citation |
Vol. 25 No. 6 pp. 69-76 |
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Abstract |
With the use of Generative AI (GenAI), Online Social Networks (OSNs) now generate a huge volume of content data. Yet, user-generated content in OSNs, aided by GenAI, presents challenges for analyzing and understanding its characteristics. In particular, tweets generated by GenAI on request by authentic human users present difficulties in determining the gendered variation of the content. The vast amount of data generated from tweets' content warrants investigation into the gender-specific language used in these tweets. This study explores the task of predicting the gender of text content in tweets generated by GenAI. Through our analysis and experimentation, we have achieved a remarkable 90% accuracy in attributing gender-specific language to these tweets. |
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Keywords |
Generative AI; Artificial Intelligence; Linguistic Patterns; Text Classification; GenAI-generated; Human authored; Gender-Specific |
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