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2020 – today
- 2023
[c11]Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal:
Measuring the Interference Effect of Bots in Disseminating Opposing Viewpoints Related to COVID-19 on Twitter Using Epidemiological Modeling. HICSS 2023: 2296-2305- 2022
- [j3]Billy Spann
, Esther Mead, Maryam Maleki, Nitin Agarwal, Therese L. Williams:
Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns. Online Soc. Networks Media 28: 100201 (2022) - [c10]Maryam Maleki, Mohammad Arani, Esther Mead, Joseph Kready, Nitin Agarwal:
Applying an Epidemiological Model to Evaluate the Propagation of Toxicity related to COVID-19 on Twitter. HICSS 2022: 1-10 - 2021
- [j2]Adewale Obadimu, Tuja Khaund, Esther Mead, Thomas Marcoux, Nitin Agarwal:
Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube. Inf. Process. Manag. 58(5): 102660 (2021) - [j1]Thomas Marcoux, Katrin Kania Galeano, Rick Galeano, Karen DiCicco, Hayder Al Rubaye, Esther Mead, Nitin Agarwal, Anna Galeano:
A public online resource to track COVID-19 misinfodemic. Soc. Netw. Anal. Min. 11(1): 45 (2021) - [c9]Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal:
Examining Video Recommendation Bias on YouTube. BIAS 2021: 106-116 - [c8]Maryam Maleki, Mohammad Arani, Erik Buchholz, Esther Mead, Nitin Agarwal:
Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter. SBP-BRiMS 2021: 23-34 - [c7]Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal, Donald A. Adjeroh:
Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context. SBP-BRiMS 2021: 71-80 - [c6]Billy Spann, Maryam Maleki, Esther Mead, Erik Buchholz, Nitin Agarwal, Therese L. Williams:
Using Diffusion of Innovations Theory to Study Connective Action Campaigns. SBP-BRiMS 2021: 131-140 - [c5]Esther Mead, Maryam Maleki, Recep Erol, Nitin Agarwal:
Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts. WWW (Companion Volume) 2021: 154-160 - [i1]Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal:
Using an Epidemiological Model to Study the Spread of Misinformation during the Black Lives Matter Movement. CoRR abs/2103.12191 (2021) - 2020
- [c4]Thomas Marcoux, Esther Mead, Nitin Agarwal:
The Ebb and Flow of the COVID-19 Misinformation Themes. CIKM (Workshops) 2020 - [c3]Adewale Obadimu, Esther Mead, Maryam Maleki, Nitin Agarwal:
Developing an Epidemiological Model to Study Spread of Toxicity on YouTube. SBP-BRiMS 2020: 266-276
2010 – 2019
- 2019
- [c2]Adewale Obadimu, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal:
Identifying Toxicity Within YouTube Video Comment. SBP-BRiMS 2019: 214-223 - 2014
- [c1]Rachida Parks, Esther Mead:
A Socio-Technical Approach to Biometric Technology Deployment in Schools. AMCIS 2014
Coauthor Index
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