A longitudinal assessment of the persistence of twitter datasets
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DOI: 10.1002/asi.24026
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Cited by:
- Muhammad Yasir & Sitara Afzal & Khalid Latif & Ghulam Mujtaba Chaudhary & Nazish Yameen Malik & Farhan Shahzad & Oh-young Song, 2020. "An Efficient Deep Learning Based Model to Predict Interest Rate Using Twitter Sentiment," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
- Fahd A. Ghanem & M. C. Padma & Ramez Alkhatib, 2023. "Automatic Short Text Summarization Techniques in Social Media Platforms," Future Internet, MDPI, vol. 15(9), pages 1-27, September.
- Zhichao Fang & Jonathan Dudek & Rodrigo Costas, 2022. "Facing the volatility of tweets in altmetric research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1192-1195, August.
- Libby Hemphill & Margaret L. Hedstrom & Susan Hautaniemi Leonard, 2021. "Saving social media data: Understanding data management practices among social media researchers and their implications for archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 97-109, January.
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