These are the sources and citations used to research Linear Programming. This bibliography was generated on Cite This For Me on
In-text: (Anderson, 1983)
Your Bibliography: Anderson, J., 1983. Lix and Rix: Variations on a Little-known Readability Index. Journal of Reading, [online] Vol. 26,(No. 6), pp.490-496. Available at: <https://www.jstor.org/stable/40031755> [Accessed 24 May 2022].
In-text: (Auxier and Arbanas, 2022)
Your Bibliography: Auxier, B. and Arbanas, J., 2022. Majority of news consumers see “fake news” as a big problem today. [online] Deloitte Insights. Available at: <https://www2.deloitte.com/us/en/insights/industry/technology/study-shows-news-consumers-consider-fake-news-a-big-problem.html> [Accessed 20 May 2022].
In-text: (Brownlee, 2022)
Your Bibliography: Brownlee, J., 2022. A Gentle Introduction to the Bag-of-Words Model. [online] Machine Learning Mastery. Available at: <https://machinelearningmastery.com/gentle-introduction-bag-words-model/> [Accessed 25 May 2022].
In-text: (Devlin, 2022)
Your Bibliography: Devlin, K., 2022. Philippines election: 'Politicians hire me to spread fake stories'. [online] BBC News. Available at: <https://www.bbc.com/news/blogs-trending-61339293> [Accessed 24 May 2022].
In-text: (Figueira and Oliveira, 2017)
Your Bibliography: Figueira, Á. and Oliveira, L., 2017. The current state of fake news: challenges and opportunities. Procedia Computer Science, [online] 121, pp.817-825. Available at: <https://www.sciencedirect.com/science/article/pii/S1877050917323086> [Accessed 14 May 2022].
In-text: (Khan et al., 2016)
Your Bibliography: Khan, M., Durrani, M., Ali, A., Inayat, I., Khalid, S. and Khan, K., 2016. Sentiment analysis and the complex natural language. Complex Adaptive Systems Modeling, [online] 4(1). Available at: <https://casmodeling.springeropen.com/track/pdf/10.1186/s40294-016-0016-9.pdf> [Accessed 21 May 2022].
In-text: (Kilani and Kobziev, 2016)
Your Bibliography: Kilani, M. and Kobziev, V., 2016. An Overview of Research Methodology in Information System (IS). OALib, [online] 03(11), pp.1-9. Available at: <https://belgiumcampusacza.sharepoint.com/sites/2022-03-07RSH381PTA&OLB/Class%20Materials/Extra%20Reading%20materials/Research%20Method%20in%20IS.pdf?CT=1653436363442&OR=ItemsView> [Accessed 14 May 2022].
In-text: (Lane, Howard and Hapke, 2019)
Your Bibliography: Lane, H., Howard, C. and Hapke, H., 2019. Natural language processing in action. 1st ed. Manning.
In-text: (Mazzeo, Rapisarda and Giuffrida, 2021)
Your Bibliography: Mazzeo, V., Rapisarda, A. and Giuffrida, G., 2021. Detection of Fake News on COVID-19 on Web Search Engines. Frontiers in Physics, [online] 9. Available at: <https://www.frontiersin.org/articles/10.3389/fphy.2021.685730/full> [Accessed 15 May 2022].
In-text: (Shu and Liu, 2019)
Your Bibliography: Shu, K. and Liu, H., 2019. Detecting fake news on social media. San Rafael, California: Morgan & Claypool Publishers.
In-text: (Shu, Mahudeswaran and Liu, 2018)
Your Bibliography: Shu, K., Mahudeswaran, D. and Liu, H., 2018. FakeNewsTracker: a tool for fake news collection, detection, and visualization. Computational and Mathematical Organization Theory, 25(1), pp.60-71.
In-text: (Shu et al., 2017)
Your Bibliography: Shu, K., Sliva, A., Wang, S., Tang, J. and Liu, H., 2017. Fake News Detection on Social Media. ACM SIGKDD Explorations Newsletter, 19(1), pp.22-36.
In-text: (Zhou and Zafarani, 2020)
Your Bibliography: Zhou, X. and Zafarani, R., 2020. A Survey of Fake News. ACM Computing Surveys, [online] 53(5), pp.1-40. Available at: <http://zafarani.net/publications/files/FakeNewsWSDM.pdf>.
In-text: (Zhou and Zafarani, 2020)
Your Bibliography: Zhou, X. and Zafarani, R., 2020. A Survey of Fake News. ACM Computing Surveys, [online] 53(5), pp.1-40. Available at: <https://arxiv.org/pdf/1812.00315.pdf> [Accessed 20 May 2022].
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