Robin Lange
Biographic Data
| ID | 6640458 |
|---|---|
| NAME | Robin Lange |
| GIVEN NAMES | Robin |
| FAMILY NAME | Lange |
| SIGNATURE | LANGE R |
| AFFILIATIONS | Northeastern University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
How social responses to online hate messages affect hatefulness
This study explored competing predictions about how social interactions among social media hate posters affect the sequential level of hatefulness as toxicity. Analyses involve a thousand original hateful posts and the subsequent posts by the same posters ( N = 1,227,756 posts) on Gab—a platform particularly hospitable to hate messaging—and Likes, Dislikes, and written replies from other users that affirmed or negated the initial hate posts. Like…
Categorizing the non-categorical
Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender-based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference in the context of online settin…
No prominent works on this page.
Categorizing the non-categorical
Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender-based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference in the context of online settin…
How social responses to online hate messages affect hatefulness
This study explored competing predictions about how social interactions among social media hate posters affect the sequential level of hatefulness as toxicity. Analyses involve a thousand original hateful posts and the subsequent posts by the same posters ( N = 1,227,756 posts) on Gab—a platform particularly hospitable to hate messaging—and Likes, Dislikes, and written replies from other users that affirmed or negated the initial hate posts. Like…
Hate Speech and Cyberbullying Detection (2 works) · Misinformation and Its Impacts (2 works) · Affect (linguistics (1 work) · Artificial Intelligence (1 work) · Bullying, Victimization, and Aggression (1 work) · Categorical variable (1 work) · Categorization (1 work) · Computer Science (1 work) · Construct (python library (1 work) · Context (archaeology (1 work)