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Social Monitoring for Public Health Mark Dredze

WebAbstract: Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social …

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URL: https://www.cs.jhu.edu/~mdredze/social-monitoring-for-public-health/

Discovering Shifts to Suicidal Ideation from Mental Health …

WebQntfy.io Crownsville MD, 21032 [email protected]. History of mental illness is a major factor behind suicide risk and ideation. However research efforts toward characterizing and forecasting this risk is limited due to the paucity of infor-mation regarding suicide ideation, exacerbated by the stigma of mental illness.

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What simulation can do for HCI research

Webcode, or only available as black boxes. A key recent development is simulation- based inference (SBI), also known as likelihood-free inference, which enables researchers to algorithmically identify

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You Are What You Tweet: Analyzing Twitter for Public Health

WebAbstract. Analyzing user messages in social media can mea-sure different population characteristics, including pub-lic health measures. For example, recent work has cor-related Twitter messages with influenza rates in the United States; but this has largely been the extent of mining Twitter for public health.

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Evaluation I: Measurement Theory

WebMeasurement theory Measurement theory is the foundation for developing, evaluating, interpreting educational and psychological measurement. Use observable tasks to estimate unobservable capability.

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Ethical Research Protocols for Social Media Health Research

WebEthical Research Protocols for Social Media Health Research. Adrian Benton Center for Language and Speech Processing Johns Hopkins University [email protected] Glen Coppersmith Qntfy [email protected] Mark Dredze Human Language Technology Center of Excellence Johns Hopkins University [email protected] Abstract. Social media have …

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601.792: Advanced Topics in Conversational User Interfaces

WebAs a critical component of Human-Computer Interaction, conversational user interfaces (CUIs) can potentially revolutionize the way we interact with technology. This course is designed for graduate students who want to gain a deeper understanding of CUIs and their real-world applications. We will focus on the HCI side of conversational AI.

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Publications Mark Dredze

WebPublications. Click to show abstract. Conference (abstract) Conference (proceedings) Journal Workshop Patent Book. 2024 (3 Publications) Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme. A Closer Look at Claim Decomposition. Joint Conference on Lexical and Computational Semantics (*SEM 2023), …

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Exploring Health Topics in Chinese Social Media: An Analysis …

WebThis paper presents, to the best of our knowledge, the first broad exploration of health-related content found in Chinese social media, through an analysis of nearly 100 million status updates from Sina Weibo, China’s largest microblogging service. As the world’s most populous country, China has a cen-tral role in global public health.

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A Model for Mining Public Health Topics from Twitter

WebA Model for Mining Public Health Topics from Twitter Michael J. Paul and Mark Dredze Human Language Technology Center of Excellence Department of Computer Science

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Quantifying Mental Health Signals in Twitter

Weba unique quantifiable perspective on human behav-ior that may otherwise go unobserved, suggesting it as a powerful tool for mental health researchers.

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Data Mark Dredze

WebThe Computational Linguistics and Clinical Psychology (CLPsych) workshop has hosted shared and unshared tasks for several years. In 2015 the shared task used data from Twitter users who state a diagnosis of depression or post traumatic stress disorder (PTSD) along with demographically-matched community controls.

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