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Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic
12 references·0 citing·46 second hop
Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic (2022)Enhancing Artificial Intelligence for Twi…Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises (2021)Twitter for disaster relief t…Multi-modal classification of Twitter data during disasters for humanitarian response (2021)Multi-modal classification of…The Impact of COVID-19 on Health Behavior, Stress, Financial and Food Security among Middle to High Income Canadian Families with Young Children (2020)The Impact of COVID-19 on Hea…Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter (2020)Public discourse and sentimen…Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries (2020)Impacts of COVID-19 on Trade …Classifying informative and non-informative tweets from the twitter by adapting image features during disaster (2020)Classifying informative and n…Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations (2019)Extracting Resource Needs and…Detecting Informative Tweets during Disaster using Deep Neural Networks (2019)Detecting Informative Tweets …Mining Informative Words from the Tweets for Detecting the Resources During Disaster (2017)Mining Informative Words from…Identifying Post-Disaster Resource Needs and Availabilities from Microblogs (2017)Identifying Post-Disaster Res…Filtering informative tweets during emergencies (2017)Filtering informative tweets …A Startup’s Experience with Running a Groupon Promotion (2011)A Startup’s Experience with R…Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster (2013)Emergency-relief coordination on social media: Automatically matching resource requests and offers (2013)Processing Social Media Messages in Mass Emergency (2015)Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief (2018)A lightweight and multilingual framework for crisis information extraction from Twitter data (2019)Utilizing microblogs for optimized real-time resource allocation in post-disaster scenarios (2021)AIDR (2014)Detecting rumors from microblogs with recurrent neural networks (2016)Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review (2021)Addressing bias in artificial intelligence for public health surveillance (2023)Twitter under crisis (2010)Social media and disasters: a functional framework for social media use in disaster planning, response, and research (2014)Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment (2020)Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management (2021)A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION (1980)Using thematic analysis in psychology (2006)The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets (2020)The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users (2020)Mental Health Analysis in Social Media Posts: A Survey (2023)The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus (2023)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)The psychological impact of quarantine and how to reduce it: rapid review of the evidence (2020)Workplace Stress, Presenteeism, Absenteeism, and Resilience Amongst University Staff and Students in the COVID-19 Lockdown (2020)Impact of COVID-19 pandemic on sleep in children and adolescents: a systematic review and meta-analysis (2021)The impact of the prolonged COVID-19 pandemic on stress resilience and mental health: A critical review across waves (2021)Rapid assessment of disaster damage using social media activity (2016)Detection of situational information from Twitter during disaster using deep learning models (2020)Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing for a Unit Root in Time Series Regression (1988)Bounds testing approaches to the analysis of level relationships (2001)Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis (2020)The Compounded Effects of COVID-19 Pandemic and Desert Locust Outbreak on Food Security and Food Supply Chain (2021)Food supply chain management in disaster events: A systematic literature review (2022)Twitter adoption and use in mass convergence and emergency events (2009)Disaster related social media content processing for sustainable cities (2021)Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model (2024)The partial area under the summary ROC curve (2005)Tweedr: Mining twitter to inform disaster response. (2014)Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages (2016)Fairness and accountability of AI in disaster risk management: Opportunities and challenges (2021)Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit (2022)Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public (2022)The Role of Discount Vouchers in Market with Customer Valuation Uncertainty (2014)The Effects of Risk and Hedonic Value on the Intention to Purchase on Group Buying Website: The Role of Trust, Price and Conformity Intention (2015)Joint quality and pricing decisions for service online group-buying strategy (2017)
this work references cited by second hop

References

  • 2020The Impact of COVID-19 on Health Behavior, Stress, Financial and Food Security among Middle to High Income Canadian Families with Young Children579 cited
  • 2020Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter331 cited
  • 2020Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries330 cited
  • 2021Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises109 cited
  • 2019Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations79 cited
  • 2021Multi-modal classification of Twitter data during disasters for humanitarian response60 cited
  • 2019Detecting Informative Tweets during Disaster using Deep Neural Networks56 cited
  • 2020Classifying informative and non-informative tweets from the twitter by adapting image features during disaster43 cited
  • 2017Identifying Post-Disaster Resource Needs and Availabilities from Microblogs41 cited
  • 2011A Startup’s Experience with Running a Groupon Promotion31 cited
  • 2017Mining Informative Words from the Tweets for Detecting the Resources During Disaster21 cited
  • 2017Filtering informative tweets during emergencies16 cited

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