Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research

Author:

Tari Henry1ORCID,Khan M. Danial1ORCID,Rutten Justus1ORCID,Othman Darian1ORCID,Bertaglia Thales2ORCID,Kaushal Rishabh1ORCID,Iamnitchi Adriana1ORCID

Affiliation:

1. Maastricht University, Netherlands

2. Utrecht University, Netherlands

Publisher

ACM

Reference24 articles.

1. Rachith Aiyappa, Matthew R. DeVerna, Manita Pote, Bao Tran Truong, Wanying Zhao, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Manikonda, Francesco Pierri, Filippo Menczer, and Kai-Cheng Yang. 2023. A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections. Proceedings of the International AAAI Conference on Web and Social Media 17 (June 2023), 981–989.

2. Francesco Barbieri, Jose Camacho-Collados, Luis Espinosa Anke, and Leonardo Neves. 2020. TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. In Findings of the Association for Computational Linguistics: EMNLP 2020. ACL Anthology, online, 1644–1650.

3. InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection

4. Amit Das, Mostafa Rahgouy, Dongji Feng, Zheng Zhang, Tathagata Bhattacharya, Nilanjana Raychawdhary, Mary Sandage, Lauramarie Pope, Gerry Dozier, and Cheryl Seals. 2024. OffLanDat: A Community Based Implicit Offensive Language Dataset Generated by Large Language Model Through Prompt Engineering. arXiv preprint arXiv:2403.02472 3, 02472 (2024), 1–15.

5. Arka Dutta, Adel Khorramrouz, Sujan Dutta, and Ashiqur R KhudaBukhsh. 2023. Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models. arXiv e-prints 1, 2309 (2023), arXiv–2309.

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