Lia Bozarth
Biographic Data
| ID | 4448713 |
|---|---|
| NAME | Lia Bozarth |
| GIVEN NAMES | Lia |
| FAMILY NAME | Bozarth |
| SIGNATURE | BOZARTH L |
| AFFILIATIONS | University of Washington |
| ORCID | 0000-0002-0879-4234 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Beyond the eye-catchers
Existing studies of social movement organizations (SMOs) commonly focus only on a small number of well-known SMOs or SMOs that belong to a single social movement industry (SMI). This is partially because current methods for identifying SMOs are labor-intensive. In contrast to these manual approaches, in our article, we use Twitter data pertaining to BlackLivesMatter and Women’s movements and employ crowdsourcing and nested supervised learning met…
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Beyond the eye-catchers
Existing studies of social movement organizations (SMOs) commonly focus only on a small number of well-known SMOs or SMOs that belong to a single social movement industry (SMI). This is partially because current methods for identifying SMOs are labor-intensive. In contrast to these manual approaches, in our article, we use Twitter data pertaining to BlackLivesMatter and Women’s movements and employ crowdsourcing and nested supervised learning met…
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Computer Science (2 works) · Political science (2 works) · Social Media and Politics (2 works) · World Wide Web (2 works) · Advertising (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Cartography (1 works) · Contrast (vision (1 works) · Credibility (1 works)