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Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining
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Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining (2020)Modeling Spatiotemporal Pattern of Depres…Understanding the Demographics of Twitter Users (2021)Understanding the Demographic…COVID-Induced Economic Uncertainty (2020)COVID-Induced Economic Uncert…COVID-19: Challenges to GIS with Big Data (2020)COVID-19: Challenges to GIS w…Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media (2017)Semi-Supervised Approach to M…The Evolution of Cognitive Bias (2015)The Evolution of Cognitive Bi…The Evolution of Cognitive Bias (2015)The Evolution of Cognitive Bi…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Predicting postpartum changes in emotion and behavior via social media (2013)Predicting postpartum changes…The impact of social and conventional media on firm equity value: A sentiment analysis approach (2012)The impact of social and conv…The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The PHQ-9: A New Depression D…The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing (2023)The Emotional Impact of COVID…Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter (2023)Beyond fear and anger: A glob…Predicting Consumer Behavior Change Towards Using Online Shopping in Nigeria (2022)Predicting Consumer Behavior …What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review (2021)What can internet users' beha…Urban computing cyberinfrastructure (2021)Urban computing cyberinfrastr…Uncovering the Online Social Structure Surrounding COVID-19 (2021)Uncovering the Online Social …Making sense of COVID-19 over time in New Zealand: Assessing the public conversation using Twitter (2021)Making sense of COVID-19 over…COVID and social media (2021)COVID and social mediaAn Inventory for Measuring Depression (1961)A New Depression Scale Designed to be Sensitive to Change (1979)The PHQ-9 (2001)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection (2007)The PHQ-8 as a measure of current depression in the general population (2008)Common risk factors in the returns on stocks and bonds (1993)Internet forums as influential sources of consumer information (2001)Using Online Conversations to Study Word-of-Mouth Communication (2004)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)The Psychological Functions of Function Words (2007)Social capital, self-esteem, and use of online social network sites: A longitudinal analysis (2008)Forecasting the onset and course of mental illness with Twitter data (2017)Depression detection from social network data using machine learning techniques (2018)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Twitter mood predicts the stock market (2011)A Three‐Stage Adoption Process for Social Media Use in Government (2013)Psychological Language on Twitter Predicts County-Level Heart Disease Mortality (2015)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)From social integration to health: Durkheim in the new millennium (2000)The world health report 2001 - Mental health: new understanding, new hope (2001)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Detecting depression and mental illness on social media: an integrative review (2017)Facebook language predicts depression in medical records (2018)On the psychology of prediction. 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(2009)Detecting and avoiding likely false‐positive findings – a practical guide (2016)Microsoft Academic Graph: When experts are not enough (2020)Using Social Media for Mental Health Surveillance (2020)An emotion and cognitive based analysis of mental health disorders from social media data (2021)Predicting Depression via Social Media (2021)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Crowdsourcing geographic information for disaster response: a research frontier (2010)COVID-19 and urban public transport services: emerging challenges and research agenda (2020)Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study (2021)Measuring Uncertainty (2015)A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies (2020)COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach (2020)Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020 (2020)The Unprecedented Stock Market Reaction to COVID-19 (2020)Illusion and well-being: A social psychological perspective on mental health. 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References

  • 2002The PHQ-9: A New Depression Diagnostic and Severity Measure5,897 cited
  • 2020COVID-Induced Economic Uncertainty1,562 cited
  • 2021Understanding the Demographics of Twitter Users760 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2020COVID-19: Challenges to GIS with Big Data516 cited
  • 2012The impact of social and conventional media on firm equity value: A sentiment analysis approach497 cited
  • 2015The Evolution of Cognitive Bias472 cited
  • 2013Predicting postpartum changes in emotion and behavior via social media461 cited
  • 2017Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media169 cited
  • 2015The Evolution of Cognitive Bias168 cited

Cited by

  • 2021What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review67 cited
  • 2023The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing16 cited
  • 2021Uncovering the Online Social Structure Surrounding COVID-1914 cited
  • 2021COVID and social media11 cited
  • 2023Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter

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10 cited
  • 2022Predicting Consumer Behavior Change Towards Using Online Shopping in Nigeria8 cited
  • 2021Making sense of COVID-19 over time in New Zealand: Assessing the public conversation using Twitter7 cited
  • 2021Urban computing cyberinfrastructure6 cited