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Crowdbreaks: Tracking Health Trends using Public Social Media Data and
  Crowdsourcing

Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing

14 May 2018
Martin Mueller
M. Salathé
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing"

11 / 11 papers shown
Hierarchical Multi-Label Classification of Online Vaccine Concerns
Hierarchical Multi-Label Classification of Online Vaccine Concerns
Chloe Qinyu Zhu
Rickard Stureborg
Bhuwan Dhingra
182
3
0
01 Feb 2024
Tracking the Structure and Sentiment of Vaccination Discussions on
  Mumsnet
Tracking the Structure and Sentiment of Vaccination Discussions on MumsnetSocial Network Analysis and Mining (SNAM), 2023
Miguel E.P. Silva
R. Skeva
T. House
C. Jay
86
0
0
24 Aug 2023
Machine Learning Systems: A Survey from a Data-Oriented Perspective
Machine Learning Systems: A Survey from a Data-Oriented PerspectiveACM Computing Surveys (ACM Comput. Surv.), 2023
Christian Cabrera
Andrei Paleyes
Pierre Thodoroff
Neil D. Lawrence
OODAI4TSAI4CE
238
7
0
09 Feb 2023
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19
  Vaccination on Twitter
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on TwitterInternational Conference on Web and Social Media (ICWSM), 2023
Yida Mu
Mali Jin
Charles Grimshaw
Carolina Scarton
Kalina Bontcheva
Xingyi Song
283
18
0
17 Jan 2023
CAVES: A Dataset to facilitate Explainable Classification and
  Summarization of Concerns towards COVID Vaccines
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID VaccinesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Soham Poddar
Azlaan Mustafa Samad
Rajdeep Mukherjee
Niloy Ganguly
Saptarshi Ghosh
222
33
0
28 Apr 2022
Benchmarking for Public Health Surveillance tasks on Social Media with a
  Domain-Specific Pretrained Language Model
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
Usman Naseem
Byoung Chan Lee
Matloob Khushi
Jinman Kim
A. Dunn
AI4MHLM&MAVLM
153
34
0
09 Apr 2022
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic SurveyACM Computing Surveys (CSUR), 2021
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MAAI4CE
465
211
0
11 Oct 2021
Classifying vaccine sentiment tweets by modelling domain-specific
  representation and commonsense knowledge into context-aware attentive GRU
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRUIEEE International Joint Conference on Neural Network (IJCNN), 2021
Usman Naseem
Matloob Khushi
Jinman Kim
A. Dunn
163
13
0
17 Jun 2021
Addressing machine learning concept drift reveals declining vaccine
  sentiment during the COVID-19 pandemic
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
Martin Müller
M. Salathé
144
23
0
03 Dec 2020
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse
  COVID-19 Content on Twitter
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
Martin Müller
M. Salathé
P. Kummervold
VLMMedImAI4MH
199
394
0
15 May 2020
The Risk to Population Health Equity Posed by Automated Decision
  Systems: A Narrative Review
The Risk to Population Health Equity Posed by Automated Decision Systems: A Narrative Review
Mitchell Burger
161
6
0
18 Jan 2020
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