Esther Mead

According to our database, Esther Mead authored at least 15 papers between 2014 and 2023.

Collaborative distances:

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

2023

Measuring the Interference Effect of Bots in Disseminating Opposing Viewpoints Related to COVID-19 on Twitter Using Epidemiological Modeling.

Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns.

Billy Spann, Esther Mead, Maryam Maleki, Nitin Agarwal, Therese L. Williams

Online Soc. Networks Media, 2022

Applying an Epidemiological Model to Evaluate the Propagation of Toxicity related to COVID-19 on Twitter.

Maryam Maleki, Mohammad Arani, Esther Mead, Joseph Kready, Nitin Agarwal

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

A public online resource to track COVID-19 misinfodemic.

Thomas Marcoux, Katrin Kania Galeano, Rick Galeano, Karen DiCicco, Hayder Al Rubaye, Esther Mead, Nitin Agarwal, Anna Galeano

Soc. Netw. Anal. Min., 2021

Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube.

Adewale Obadimu, Tuja Khaund, Esther Mead, Thomas Marcoux, Nitin Agarwal

Inf. Process. Manag., 2021

Using an Epidemiological Model to Study the Spread of Misinformation during the Black Lives Matter Movement.

Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal

CoRR, 2021

Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts.

Esther Mead, Maryam Maleki, Recep Erol, Nitin Agarwal

Proceedings of the Companion of The Web Conference 2021, 2021

Using Diffusion of Innovations Theory to Study Connective Action Campaigns.

Billy Spann, Maryam Maleki, Esther Mead, Erik Buchholz, Nitin Agarwal, Therese L. Williams

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter.

Maryam Maleki, Mohammad Arani, Erik Buchholz, Esther Mead, Nitin Agarwal

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context.

Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal, Donald A. Adjeroh

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Examining Video Recommendation Bias on YouTube.

Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020

Developing an Epidemiological Model to Study Spread of Toxicity on YouTube.

Adewale Obadimu, Esther Mead, Maryam Maleki, Nitin Agarwal

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

The Ebb and Flow of the COVID-19 Misinformation Themes.

Thomas Marcoux, Esther Mead, Nitin Agarwal

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019

Identifying Toxicity Within YouTube Video Comment.

Adewale Obadimu, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal

Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

2014

A Socio-Technical Approach to Biometric Technology Deployment in Schools.

Rachida Parks, Esther Mead

Proceedings of the 20th Americas Conference on Information Systems, 2014