Esther Mead

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Southern Arkansas University primary UA Little Rock

Also affiliated: Cosmos Corporation (United States) (2021–2022)

Faculty Researcher

9 h-index 25 pubs 312 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Esther Mead's research focuses on the propagation and regulation of online discourse, particularly concerning misinformation and toxicity on social media platforms like YouTube and Twitter. Her work employs computational and epidemiological modeling approaches to analyze how information, both legitimate and harmful, spreads within digital environments. Mead has investigated the mechanisms behind video recommendation bias on YouTube and examined the influence of digital activity among far-right actors on various social media platforms.

Her publications also address the application of diffusion of innovations theory to understand adoption stages in connective action campaigns. Mead has utilized epidemiological models to study the spread of misinformation during social movements such as Black Lives Matter, as well as the propagation of toxicity and legitimate information related to COVID-19 on Twitter. She has collaborated with researchers from the University of Arkansas at Little Rock on multiple publications.

Metrics

h-index: 9
Publications: 25
Citations: 312

Selected Publications

Text Mining Domestic Extremism Topics on Multiple Social Media Platforms (2024)

1 citation DOI OpenAlex
Proposing Location-based Predictive Features for Modeling Refugee Counts (2023)

Transnational Education Review DOI OpenAlex
Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking (2022)

Advanced sciences and technologies for security applications 1 citation DOI OpenAlex
Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns (2022)

Online Social Networks and Media 20 citations DOI OpenAlex
Surface Web vs Deep Web vs Dark Web (2022)

1 citation DOI OpenAlex
Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms (2022)

for(e)dialogue 8 citations DOI OpenAlex
Assessing Bias in YouTube’s Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context (2021)

Lecture notes in computer science 11 citations DOI OpenAlex
Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter (2021)

Lecture notes in computer science 10 citations DOI OpenAlex
Using Diffusion of Innovations Theory to Study Connective Action Campaigns (2021)

Lecture notes in computer science 4 citations DOI OpenAlex
Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts (2021)

Companion Proceedings of the Web Conference 2021 1 citation DOI OpenAlex
Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube (2021)

Information Processing & Management 58 citations DOI OpenAlex
A public online resource to track COVID-19 misinfodemic (2021)

Social Network Analysis and Mining 6 citations DOI OpenAlex
Surface Web vs Deep Web vs Dark Web (2020)

2 citations DOI OpenAlex
The Ebb and flow of the COVID-19 misinformation themes (2020)

Conference on Information and Knowledge Management 1 citation OpenAlex
Developing an Epidemiological Model to Study Spread of Toxicity on YouTube (2020)

Lecture notes in computer science 11 citations DOI OpenAlex