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  • Open Access

    ARTICLE

    Analysis of Social Media Impact on Stock Price Movements Using Machine Learning Anomaly Detection

    Richard Cruz1, Johnson Kinyua1,*, Charles Mutigwe2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3405-3423, 2023, DOI:10.32604/iasc.2023.035906

    Abstract The massive increase in the volume of data generated by individuals on social media microblog platforms such as Twitter and Reddit every day offers researchers unique opportunities to analyze financial markets from new perspectives. The meme stock mania of 2021 brought together stock traders and investors that were also active on social media. This mania was in good part driven by retail investors’ discussions on investment strategies that occurred on social media platforms such as Reddit during the COVID-19 lockdowns. The stock trades by these retail investors were then executed using services like Robinhood. In this paper, machine learning models… More >

  • Open Access

    ARTICLE

    Analyzing COVID-2019 Impact on Mental Health Through Social Media Forum

    Huma1, Muhammad Khalid Sohail2, Nadeem Akhtar3, Dost Muhammad3, Humaira Afzal4, Muhammad Rafiq Mufti5, Shahid Hussain6,*, Mansoor Ahmed1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3737-3748, 2021, DOI:10.32604/cmc.2021.014398

    Abstract This study aims to identify the potential association of mental health and social media forum during the outbreak of COVID-19 pandemic. COVID-19 brings a lot of challenges to government globally. Among the different strategies the most extensively adopted ones were lockdown, social distancing, and isolation among others. Most people with no mental illness history have been found with high risk of distress and psychological discomfort due to anxiety of being infected with the virus. Panic among people due to COVID-19 spread faster than the disease itself. The misinformation and excessive usage of social media in this pandemic era have adversely… More >

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