NYU's Center for Social Media, AI, and Politics

NYU's Center for Social Media, AI, and Politics

Bluesky @csmapnyu.org
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Followers
12.2K
Account age
3 yrs

Known for

In the Global South, WhatsApp is more popular than X or Facebook. New in @The_JOP, we ran a WhatsApp deactivation experiment during Brazil’s 2022 election to explore how the app facilitates the spread of misinformation and affects voters’ attitudes. www.journals.uchicago.edu/doi/abs/10.1...43 views In the Global South, WhatsApp is more popular than X or Facebook. New in @The_JOP, we ran a WhatsApp deactivation experiment during Brazil’s 2022 election to explore how the app facilitates the spread of misinformation and affects voters’ attitudes. www.journals.uchicago.edu/doi/abs/10.1... Amid growing DC gridlock, state legislatures play a vital role in shaping policy. But how do state lawmakers decide which issues deserve their attention? Our new @thejop.bsky.social paper is the first large-scale multi-state analysis exploring this question www.journals.uchicago.edu/doi/10.1086/...18 views Amid growing DC gridlock, state legislatures play a vital role in shaping policy. But how do state lawmakers decide which issues deserve their attention? Our new @thejop.bsky.social paper is the first large-scale multi-state analysis exploring this question www.journals.uchicago.edu/doi/10.1086/... As generative AI becomes more accessible, synthetic political images are reshaping how people see and interpret events. One question remains: Do AI labels help the public navigate this environment? Our new preprint, It Works When It Works, tests exactly that. 🔗 osf.io/preprints/so...15 views As generative AI becomes more accessible, synthetic political images are reshaping how people see and interpret events. One question remains: Do AI labels help the public navigate this environment? Our new preprint, It Works When It Works, tests exactly that. 🔗 osf.io/preprints/so... These findings are consistent with the “minimal effects” theory: the misinformation reduction did not translate to user belief accuracy and polarization changes. Although users saw less false content, their attitudes stayed the same.5 views These findings are consistent with the “minimal effects” theory: the misinformation reduction did not translate to user belief accuracy and polarization changes. Although users saw less false content, their attitudes stayed the same.

📊 Post engagement

11
Avg engagement / post
0.1%
Engagement vs followers
May 2023
On Bluesky since

🔥 Top post: In the Global South, WhatsApp is more popular than X or Facebook · 43 likes + reposts

📊 Activity & format

Posting cadence
0.38 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 text · 12 image · 0 video.

Recent posts

View on Bluesky ↗
🔥 Top post In the Global South, WhatsApp is more popular than X or Facebook. New in @The_JOP, we ran a WhatsApp deactivation experiment during Brazil’s 2022 election to explore how the app facilitates the spread of misinformation and affects voters’ attitudes. www.journals.uchicago.edu/… ★ 43
This enabled comparisons across both true and false political visuals. 🔍 As generative AI becomes more accessible, synthetic political images are reshaping how people see and interpret events. One question remains: Do AI labels help the public navigate this environment? Our new preprint, It Works When It Works… ★ 15 We also tested a popular media literacy intervention — “tips to spot false news” — that has been used by platforms like Facebook. While the intervention reduced belief in stories overall, it lowered belief in both true and false stories eq… The results were striking. Ukrainian-preferring respondents were less likely to believe both true and false stories when written in Russian. By contrast, Russian-preferring respondents sometimes showed greater belief in false stories when … Participants were randomly assigned to read stories in their preferred language or their less-preferred language, within days of publication. 👇👇 These findings have a key nuance: heavy WhatsApp users—those who frequently receive political content—did improve in spotting falsehoods, while others did not. This suggests that information interventions may have unequal impacts across s… ★ 1 These findings are consistent with the “minimal effects” theory: the misinformation reduction did not translate to user belief accuracy and polarization changes. Although users saw less false content, their attitudes stayed the same. ★ 5 Overall, the recall of misinformation dropped sharply. Participants were 40% less likely to remember false headlines, a significantly larger reduction than the decline in recall of true news. ★ 2 Our design recruited 773 WhatsApp users before the 2022 election. The treatment group (N≈400) turned off all auto-downloads (videos, images, audio, & docs) for 3 weeks, while the control group kept their usual settings. We also verified co… ★ 1 Overall, our findings challenge the narrative that state politics has become entirely nationalized. While national influence is certainly present, local voices still significantly shape state policy agendas. Here's a summary of our four m… ★ 3 Amid growing DC gridlock, state legislatures play a vital role in shaping policy. But how do state lawmakers decide which issues deserve their attention? Our new @thejop.bsky.social paper is the first large-scale multi-state analysis explo… ★ 18

🦋 Handle & authenticity

✅ Domain-verified
@csmapnyu.org
The handle is the domain csmapnyu.org. On Bluesky a domain handle proves the owner controls that website — so this is verifiably the real csmapnyu.org account, not an impersonator.
On Bluesky since
May 2023
An early adopter from the invite-only beta (before the Feb 2024 public launch) — an original, established account.

💡 Facts

🗓️Joined Bluesky in 2023 — 3 years ago.
👁️Averages 11 views per post.
📤Posts about 0.4× per week.
🏅Earned the 10K Followers for passing 10K followers.

🛡️ Audience credibility

44/100 Fair
  • Est. 67% real, active audience · High fake-follower risk.
  • Low content engagement (~0.1% of followers) — a sign of an inflated or inactive audience.
  • Established account (3+ years old).
Est. authentic audience
67%
Fake-follower risk
High

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

About

We work to strengthen democracy by conducting rigorous research, advancing evidence-based public policy, and training the next generation of scholars. https://csmapnyu.org/links

📸 Gallery

This enabled comparisons across both true and false political visuals. 🔍 As generative AI becomes more accessible, synthetic political images are reshaping how people see and interpret events. One question remains: Do AI labels help the public navigate this environment? Our new preprint, It Works When It Works, tests exactly that. 🔗 osf.io/preprints/so... We also tested a popular media literacy intervention — “tips to spot false news” — that has been used by platforms like Facebook. While the intervention reduced belief in stories overall, it lowered belief in both true and false stories equally, producing no net gain in discernment. 👇👇 The results were striking. Ukrainian-preferring respondents were less likely to believe both true and false stories when written in Russian. By contrast, Russian-preferring respondents sometimes showed greater belief in false stories when those same stories appeared in Ukrainian. 👇👇 Participants were randomly assigned to read stories in their preferred language or their less-preferred language, within days of publication. 👇👇 These findings have a key nuance: heavy WhatsApp users—those who frequently receive political content—did improve in spotting falsehoods, while others did not. This suggests that information interventions may have unequal impacts across subgroups, depending on baseline exposure. These findings are consistent with the “minimal effects” theory: the misinformation reduction did not translate to user belief accuracy and polarization changes. Although users saw less false content, their attitudes stayed the same. Overall, the recall of misinformation dropped sharply. Participants were 40% less likely to remember false headlines, a significantly larger reduction than the decline in recall of true news.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

TVA Nouvelles TVA Nouvelles 18% videl🐒image distribution videl🐒image distribution 16% Spitfire News Spitfire News 16% Dr. Jens Foell Dr. Jens Foell 15% Kim D Arthouse Kim D Arthouse 12% Brad Cerenzia Brad Cerenzia 11%

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