Seonhye Noh
@shnoh.bsky.social
Ph.D. candidate in Communication @ UCLA
Political communication | Digital news engagement | Algorithmic media environments | Digital trace data, LLMs & network analysis
www.seonhyenoh.com
Political communication | Digital news engagement | Algorithmic media environments | Digital trace data, LLMs & network analysis
www.seonhyenoh.com
3️⃣ Expressive News Preferences:
An experimental study showing that people often express attitude-consistent news preferences they don’t actually intend to read.
It suggests expressed preferences may reflect identity signaling more than actual intent.
→ Currently under review!
An experimental study showing that people often express attitude-consistent news preferences they don’t actually intend to read.
It suggests expressed preferences may reflect identity signaling more than actual intent.
→ Currently under review!
June 19, 2025 at 6:05 AM
3️⃣ Expressive News Preferences:
An experimental study showing that people often express attitude-consistent news preferences they don’t actually intend to read.
It suggests expressed preferences may reflect identity signaling more than actual intent.
→ Currently under review!
An experimental study showing that people often express attitude-consistent news preferences they don’t actually intend to read.
It suggests expressed preferences may reflect identity signaling more than actual intent.
→ Currently under review!
2️⃣ Negativity Biases Online (w/ @snsoroka.bsky.social):
How stable, trait-level negativity biases interact with algorithmic news provision on a mobile app.
We found these biases shape both what users select and what appears in their feeds.
→ Recently accepted at Media Psychology!
How stable, trait-level negativity biases interact with algorithmic news provision on a mobile app.
We found these biases shape both what users select and what appears in their feeds.
→ Recently accepted at Media Psychology!
June 19, 2025 at 6:01 AM
2️⃣ Negativity Biases Online (w/ @snsoroka.bsky.social):
How stable, trait-level negativity biases interact with algorithmic news provision on a mobile app.
We found these biases shape both what users select and what appears in their feeds.
→ Recently accepted at Media Psychology!
How stable, trait-level negativity biases interact with algorithmic news provision on a mobile app.
We found these biases shape both what users select and what appears in their feeds.
→ Recently accepted at Media Psychology!
1️⃣ The Funnel of Engagement:
How engagement segregation intensifies as users move from viewing to clicking to reading based on co-engagement networks.
Using large-scale digital trace data to track clustering at each phase.
→ Ongoing project—hoping to wrap it up this summer. Stay tuned!
How engagement segregation intensifies as users move from viewing to clicking to reading based on co-engagement networks.
Using large-scale digital trace data to track clustering at each phase.
→ Ongoing project—hoping to wrap it up this summer. Stay tuned!
June 19, 2025 at 5:59 AM
1️⃣ The Funnel of Engagement:
How engagement segregation intensifies as users move from viewing to clicking to reading based on co-engagement networks.
Using large-scale digital trace data to track clustering at each phase.
→ Ongoing project—hoping to wrap it up this summer. Stay tuned!
How engagement segregation intensifies as users move from viewing to clicking to reading based on co-engagement networks.
Using large-scale digital trace data to track clustering at each phase.
→ Ongoing project—hoping to wrap it up this summer. Stay tuned!