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Prior research on Twitter (now X) data has provided positive evidence of its utility in developing supplementary health surveillance systems.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Semeval-2017 task 4: Sentiment analysis in twitter
Sara Rosenthal, Noura Farra, and Preslav Nakov. 2019 · 1912
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Bertweet: A pre-trained language model for english tweets
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2005
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Tweeteval: Unified benchmark and comparative evaluation for tweet classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, and Luis Espinosa-Anke. 2020 · 2010
Earlier work this paper cites.
Libsvm: a library for support vector machines
Chih-Chung Chang and Chih-Jen Lin. 2011 · 2011
Earlier work this paper cites.
Benefits and drawbacks of electronic health record systems
Nir Menachemi and Taleah H Collum. 2011 · 2011
Earlier work this paper cites.
You are what you tweet: Analyzing twitter for public health
Michael Paul and Mark Dredze. 2011 · 2011
Earlier work this paper cites.
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit Sheth, and Jeremiah Schumm. 2020 · 2011
Earlier work this paper cites.
National and local influenza surveillance through twitter: an analysis of the 2012-2013 influenza epidemic
David A Broniatowski, Michael J Paul, and Mark Dredze. 2013 · 2013
Earlier work this paper cites.
Characterizing geographic variation in well-being using tweets
Hansen Schwartz, Johannes Eichstaedt, Margaret Kern, Lukasz Dziurzynski, Richard Lucas, Megha Agrawal, Gregory Park, Shrinidhi Lakshmikanth, Sneha Jha, Martin Seligman, et al. 2013 · 2013
Earlier work this paper cites.
Quantifying mental health signals in twitter
Glen Coppersmith, Mark Dredze, and Craig Harman. 2014 · 2014
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Estimating county health statistics with twitter
Aron Culotta. 2014 · 2014
Earlier work this paper cites.
Tracking suicide risk factors through twitter in the us
Jared Jashinsky, Scott H Burton, Carl L Hanson, Josh West, Christophe Giraud-Carrier, Michael D Barnes, and Trenton Argyle. 2014 · 2014
Earlier work this paper cites.
Twitter mining for fine-grained syndromic surveillance
Paola Velardi, Giovanni Stilo, Alberto E Tozzi, and Francesco Gesualdo. 2014 · 2014
Earlier work this paper cites.
From adhd to sad: Analyzing the language of mental health on twitter through self-reported diagnoses
Glen Coppersmith, Mark Dredze, Craig Harman, and Kristy Hollingshead. 2015 · 2015
Earlier work this paper cites.
Worldwide influenza surveillance through twitter
Michael J Paul, Mark Dredze, David A Broniatowski, and Nicholas Generous. 2015 · 2015
Earlier work this paper cites.
Validating machine learning algorithms for twitter data against established measures of suicidality
Scott R Braithwaite, Christophe Giraud-Carrier, Josh West, Michael D Barnes, and Carl Lee Hanson. 2016 · 2016
Earlier work this paper cites.
Geotagged us tweets as predictors of county-level health outcomes, 2015–2016
Quynh C Nguyen, Matt McCullough, Hsien-wen Meng, Debjyoti Paul, Dapeng Li, Suraj Kath, Geoffrey Loomis, Elaine O Nsoesie, Ming Wen, Ken R Smith, et al. 2017a · 2016
Earlier work this paper cites.
The psychology of job loss: using social media data to characterize and predict unemployment
Davide Proserpio, Scott Counts, and Apurv Jain. 2016 · 2016
Cited alongside, same era.
Infectious disease surveillance in the big data era: towards faster and locally relevant systems
Lone Simonsen, Julia R Gog, Don Olson, and Cécile Viboud. 2016 · 2016
Cited alongside, same era.
Filtering entities to optimize identification of adverse drug reaction from social media: how can the number of words between entities in the messages help?
Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun, et al. 2017 · 2017
Cited alongside, same era.
Gender and cross-cultural differences in social media disclosures of mental illness
Munmun De Choudhury, Sanket S Sharma, Tomaz Logar, Wouter Eekhout, and René Clausen Nielsen. 2017 · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
Mentalbert: Publicly available pretrained language models for mental healthcare
Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, and Erik Cambria. 2021 · 2021
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OpenAI GPT-3.5 Documentation
OpenAI. 2021 · 2021
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Digital public health surveillance: a systematic scoping review
Zahra Shakeri Hossein Abad, Adrienne Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe Lucini, Majed Al-Jefri, and Joon Lee. 2021 · 2021
Later among the works it cites.
Places: local data for better health
Centers for Disease Control, Prevention, Centers for Disease Control, Prevention, et al. 2022 · 2022
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Toward using twitter for prep-related interventions: An automated natural language processing pipeline for identifying gay or bisexual men in the united states
Ari Z Klein, Steven Meanley, Karen O’Connor, José A Bauermeister, and Graciela Gonzalez-Hernandez. 2022 · 2022
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Cited alongside, same era.
The remarkable benefit of user-level aggregation for lexical-based population-level predictions
Salvatore Giorgi, Daniel Preoţiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle Ungar, and H. Andrew Schwartz. 2018 · 2018
Cited alongside, same era.
Using twitter for public health surveillance from monitoring and prediction to public response
Sophie E Jordan, Sierra E Hovet, Isaac Chun-Hai Fung, Hai Liang, King-Wa Fu, and Zion Tsz Ho Tse. 2018 · 2018
Cited alongside, same era.
Api-based social media collecting as a form of web archiving
Justin Littman, Daniel Chudnov, Daniel Kerchner, Christie Peterson, Yecheng Tan, Rachel Trent, Rajat Vij, and Laura Wrubel. 2018 · 2018
Cited alongside, same era.
Internet trends 2018
Mary Meeker and Liang Wu. 2018 · 2018
Cited alongside, same era.
Mental health surveillance among children—united states, 2013–2019
Rebecca H Bitsko, Angelika H Claussen, Jesse Lichstein, Lindsey I Black, Sherry Everett Jones, Melissa L Danielson, Jennifer M Hoenig, Shane P Davis Jack, Debra J Brody, Shiromani Gyawali, et al. 2022 · 2019
Cited alongside, same era.
Electronic health records: a critical appraisal of strengths and limitations
Suchitra Kataria and Vinod Ravindran. 2020 · 2020
Cited alongside, same era.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
Cited alongside, same era.
Usman Naseem, Byoung Chan Lee, Matloob Khushi, Jinman Kim, and Adam G Dunn. 2022 · 2022
Later among the works it cites.
Long short-term memory–based prediction of the spread of influenza-like illness leveraging surveillance, weather, and twitter data: Model development and validation
Maria Athanasiou, Georgios Fragkozidis, Konstantia Zarkogianni, and Konstantina S Nikita. 2023 · 2023
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Honey, i shrunk the language: Language model behavior at reduced scale
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, and Anna Rumshisky. 2023 · 2023
Later among the works it cites.
Health status metrics
Center for Disease Control. 2023 · 2023
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Neighborhood atlas
Center for Health Disparities Research. 2023 · 2023
Later among the works it cites.
Transformer-based language models for mental health issues: A survey
Candida M Greco, Andrea Simeri, Andrea Tagarelli, and Ester Zumpano. 2023 · 2023
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Analyzing us tweets for stigma against people experiencing homelessness
Nathan J Kim, Jessica Lin, Craig Hiller, Chantal Hildebrand, and Colette Auerswald. 2023 · 2023
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Surveillance of communicable diseases using social media: A systematic review
Patrick Pilipiec, Isak Samsten, and András Bota. 2023 · 2023
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Pearson r
Scipy. 2023 · 2023
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Docnow/twarc: v2.14.0
Ed Summers, Igor Brigadir, Sam Hames, Hugo van Kemenade, Peter Binkley, tinafigueroa, Nick Ruest, Walmir, Dan Chudnov, David Thiel, Betsy, Ryan Chartier, celeste, Hause Lin, Alice, Andy Chosak, Mirko Lenz, R. Miles McCain, Ian Milligan, Andreas Segerberg, Daniyal Shahrokhian, Melanie Walsh, Leonard Lausen, Nicholas Woodward, eggplants, Ashwin Ramaswami, Boyd Nguyen, Darío Hereñú, Dmitrijs Milajevs, and Frederik Elwert. 2023 · 2023
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County statistics of the United States
Wikipedia contributors. 2023 · 2023
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An intelligent early warning system of analyzing twitter data using machine learning on covid-19 surveillance in the us
Yiming Zhang, Ke Chen, Ying Weng, Zhuo Chen, Juntao Zhang, and Richard Hubbard. 2022 · 2023
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Discovering shifts to suicidal ideation from mental health content in social media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, and Mrinal Kumar. 2016 · 2098
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