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Alex Atcheson

dblp:374/9070 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0002-9729-3470ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-AI interaction · 40% Collaborative and social computing · 35% Accessibility and assistive technology · 12%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › generative AI
generative AI in education
0.912025
"I'd Never Actually Realized How Big An Impact It Had Until Now": Perspectives of University Students with Disabilities on Generative Artificial Intelligence · CHI 2025
Collaborative and social computing
online communities
0.812024
Not What it Used to Be: Characterizing Content and User-base Changes in Newly Created Online Communities · CHI 2024
Usability and user experience research
user perspectives
0.312025
"I'd Never Actually Realized How Big An Impact It Had Until Now": Perspectives of University Students with Disabilities on Generative Artificial Intelligence · CHI 2025
Web and social media mining
online community analysis
0.212024
Not What it Used to Be: Characterizing Content and User-base Changes in Newly Created Online Communities · CHI 2024

Methods — techniques the papers use, named apart from their topics

longitudinal analysis · 1.5linguistic distinctiveness analysis · 1.5qualitative study · 0.9
YearPublicationVenuePosition
2025 "I'd Never Actually Realized How Big An Impact It Had Until Now": Perspectives of University Students with Disabilities on Generative Artificial Intelligence
Alex Atcheson, Omar Khan 0004, Brian Siemann, Anika Jain, Karrie Karahalios
CHI1
2024 Not What it Used to Be: Characterizing Content and User-base Changes in Newly Created Online Communities
abstract
Attracting new members is vital to the health of many online communities. Yet, prior qualitative work suggests that newcomers to online communities can be disruptive – either due to a lack of awareness around existing community norms or to differing expectations around how the community should operate. Consequently, communities may have to navigate a trade-off between growth and development of community identity. We evaluate the presence of this trade-off through a longitudinal analysis of two years of commenting data for each of 1,620 Reddit communities. We find that, on average, communities become less linguistically distinctive as they grow. These changes appear to be driven almost equally by newcomers and returning users. Surprisingly, neither heavily moderated communities nor communities undergoing major user-base diversification are any more or less likely to maintaining distinctiveness. Taken together, our results complicate the assumption that growth is inherently beneficial for online communities.
Alex Atcheson, Vinay Koshy, Karrie Karahalios
CHI1