Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90087-8_5
Reference44 articles.
1. Barbera, P., Tucker, J. A., Guess, A., Vaccari, C., Siegel, A., Sanovich, S., Stukal, D., & Nyhan, B. (2018). Social media, political polarization, and political disinformation: A review of the scientific literature.
2. Chen, T., Li, X., Yin, H., & Zhang, J. (2018, June). Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 40–52). Springer.
3. Bode, L., & Vraga, E. K. (2015). In related news, that was wrong: The correction of misinformation through related stories functionality in social media. Journal of Communication, 65(4), 619–638.
4. Singhal, S., Shah, R. R., Chakraborty, T., Kumaraguru, P., & Satoh, S. I. (2019, September). SpotFake: A multi-modal framework for fake news detection. In 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM) (pp. 39–47). IEEE.
5. Parikh, S. B., & Atrey, P. K. (2018, April). Media-rich fake news detection: A survey. In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (pp. 436–441). IEEE.
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Layered Semantic Interoperability Framework for Conflict Resolution of Semantic Models in Smart Devices;Lecture Notes in Networks and Systems;2024
2. A comprehensive review on automatic detection of fake news on social media;Multimedia Tools and Applications;2023-10-26
3. Addressing the Public Health Misinformation Challenge with Real-Time Data Fusion;2023 3rd Intelligent Cybersecurity Conference (ICSC);2023-10-23
4. Fake news detection on Twitter;International Journal of Web Information Systems;2022-09-19
5. Characterizing Fake News: A Conceptual Modeling-based Approach;Conceptual Modeling;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3