Adaptive cost-sensitive stance classification model for rumor detection in social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-022-00952-2.pdf
Reference76 articles.
1. AlDayel A, Magdy W (2021) Stance detection on social media: state of the art and trends. Inf Process Manag 58(4):102597. https://doi.org/10.1016/J.IPM.2021.102597
2. Bahuleyan H, Vechtomova O (2017) UWaterloo at SemEval-2017 Task 8: detecting stance towards rumours with topic independent features. In: Proceedings of the 11th international workshop on semantic evaluation (SemEval-2017), pp. 461–464.
3. Baris I, Schmelzeisen L, Staab S (2019) CLEARumor at semEval-2019 task 7: Convolving ELMo against rumors. In: Proceedings of the 13th international workshop on semantic evaluation, pp 1105–1109. https://doi.org/10.18653/v1/s19-2193
4. Bondielli A, Marcelloni F (2019) A survey on fake news and rumour detection techniques. Inf Sci 497:38–55
5. Buda M, Maki A, Mazurowski MA (2018) A systematic study of the class imbalance problem in convolutional neural networks. Neural Netw 106:249–259. https://doi.org/10.1016/J.NEUNET.2018.07.011
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