Ashlynn R. Daughton

According to our database, Ashlynn R. Daughton authored at least 15 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A bootstrapping approach to social media quantification.

Ashlynn R. Daughton, Michael J. Paul

Soc. Netw. Anal. Min., 2021

Hindcasting Violent Events in Colombia Using Internet Data.

Ashlynn R. Daughton, Sara Y. Del Valle, Chrysm Watson Ross, Geoffrey Fairchild

Digit. Gov. Res. Pract., 2021

Impact of COVID-19 Policies and Misinformation on Social Unrest.

Martha Barnard, Radhika Iyer, Sara Y. Del Valle, Ashlynn R. Daughton

CoRR, 2021

2020

Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring.

Ashlynn R. Daughton, Michael J. Paul

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

"Thought I'd Share First": An Analysis of COVID-19 Conspiracy Theories and Misinformation Spread on Twitter.

Dax Gerts, Courtney D. Shelley, Nidhi Parikh, Travis Pitts, Chrysm Watson Ross, Geoffrey Fairchild, Nidia Yadria Vaquera Chavez, Ashlynn R. Daughton

CoRR, 2020

2019

Estimating influenza incidence using search query deceptiveness and generalized ridge regression.

Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus

PLoS Comput. Biol., 2019

Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited.

Dave Osthus, Ashlynn R. Daughton, Reid Priedhorsky

PLoS Comput. Biol., 2019

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019.

Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

Topic Modeling To Contextualize Event-Based Datasets: The Colombian Peace Process.

Ashlynn R. Daughton, Geoffrey Fairchild, Chrysm Watson Ross, Sara Y. Del Valle

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, 2019

2018

Epidemiological data challenges: planning for a more robust future through data standards.

Geoffrey Fairchild, Byron Tasseff, Hari Khalsa, Nicholas Generous, Ashlynn R. Daughton, Nileena Velappan, Reid Priedhorsky, Alina Deshpande

CoRR, 2018

2017

Deceptiveness of internet data for disease surveillance.

Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta

CoRR, 2017

Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda.

Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Characteristics of Zika Behavior Discourse on Twitter.

Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2016

A globally-applicable disease ontology for biosurveillance; Anthology of Biosurveillance Diseases (ABD).

Ashlynn R. Daughton, Reid Priedhorsky, Geoffrey Fairchild, Nicholas Generous, Andrea Hengartner, Esteban Abeyta, Nileena Velappan, Antonietta Lillo, Karen Stark, Alina Deshpande

CoRR, 2016

2015

The Surveillance Window Application (SWAP): A Web-Hosted Tool to Facilitate Situational Awareness during Outbreaks.

Alina Deshpande, Esteban Abeyta, Lauren Castro, Ashlynn R. Daughton, Geoffrey Fairchild, Nicholas Generous, Reid Priedhorsky, Kirsten Taylor-McCabe, Nileena Velappan

Proceedings of the World Wide Web and Public Health Intelligence, 2015