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  • 280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data
    280字直达白宫？基于Twitter数据预测2020年美国总统大选

    Rodrigue Rizk,Dominick Rizk,Frederic Rizk et al.

    Computational and mathematical organization theory. 2023 Mar 28:1-28. DOI:10.1007/s10588-023-09376-5
  • Developing an agent-based model to minimize spreading of malicious information in dynamic social networks
    一种基于代理模型 最小化动态社交网络中恶意信息传播的方法

    Mustafa Alassad,Muhammad Nihal Hussain,Nitin Agarwal

    Computational and mathematical organization theory. 2023 Apr 12:1-16. DOI:10.1007/s10588-023-09375-6
  • Does big data serve policy? Not without context. An experiment with in silico social science
    大数据有助于政策制定吗？并不完全是。一个基于计算机模拟的社会科学实验

    Chris Graziul,Alexander Belikov,Ishanu Chattopadyay et al.

    Computational and mathematical organization theory. 2023;29(1):188-219. DOI:10.1007/s10588-022-09362-3
  • Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development
    疫苗试验暂停：推特上关于阿斯利康新冠疫苗开发过程中的恶意和低可信度的内容

    Sameera Horawalavithana,Ravindu De Silva,Nipuna Weerasekara et al.

    Computational and mathematical organization theory. 2022 Nov 28:1-22. DOI:10.1007/s10588-022-09370-3
  • Fake or not? Automated detection of COVID-19 misinformation and disinformation in social networks and digital media
    假的还是真的？社交媒体和数字媒体中COVID-19错误信息和虚假信息的自动检测

    Izzat Alsmadi,Natalie Manaeva Rice,Michael J O&#x;Brien

    Computational and mathematical organization theory. 2022 Nov 25:1-19. DOI:10.1007/s10588-022-09369-w
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