activity
20232026
most citedNo Love Among Haters: Negative Interactions Reduce Hate Community Engagement

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Relational Complexity: Making Sense of Social Companion AI Use

Sophie Elizabeth Klitgaard, Grace X. Wang, Daniel M. T. Fessler +1

The adoption of social companion AI (SCAI) is often framed in terms of the positive features it offers users, including its nonjudgemental nature, agreeableness, and availability.…

cs.CY2024

Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers

Daniel Hickey, Matheus Schmitz, Daniel M. T. Fessler +4

Counterspeech has gained attention as a strategy to reduce hate speech on social media. Although previous studies suggest that counterspeech can reduce hate speech, little is known…

cs.LG2024

Posts of Peril: Detecting Information About Hazards in Text

Keith Burghardt, Daniel M. T. Fessler, Chyna Tang +2

Socio-linguistic indicators of affectively-relevant phenomena, such as emotion or sentiment, are often extracted from text to better understand features of human-computer interacti…

cs.SI2024

The Peripatetic Hater: Predicting Movement Among Hate Subreddits

Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman +1

Many online hate groups exist to disparage others based on race, gender identity, sex, or other characteristics. The accessibility of these communities allows users to join multipl…

cs.SI2023★ 4 cited

No Love Among Haters: Negative Interactions Reduce Hate Community Engagement

Daniel Hickey, Matheus Schmitz, Daniel Fessler +3

While online hate groups pose significant risks to the health of online platforms and safety of marginalized groups, little is known about what causes users to become active in hat…