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Rita Tang

@ritatang

Phd student in the Hubbard School of Journalism at the University of Minnesota, passionate about research in AI, media literacy and misinformation.

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23.11.2024
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Latest posts by Rita Tang @ritatang

These results raise important insights on how we can encourage everyday users to speak up against misinformationβ€”and how some well-meaning messages might not always work as intended.

29.04.2025 20:49 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Interestingly, adding a cue-to-action sometimes backfiredβ€”especially among students.

29.04.2025 20:46 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

πŸ” Key findings:
Problem-recognition messages highlighting the problem of misinformation from authoritative sources like the CDC significantly increased correction intentions in both samples.

Problem-recognition messages from a layperson also helpedβ€”but only among college students.

29.04.2025 20:44 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

This study tests what motivates people to correct misinformation on social media. Using STOPS and HBM, two survey experiments (college students and adults) examined how problem-recognition messages and CTAs affect correction behaviors around raw milk misinformation.

29.04.2025 20:42 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Effects of problem-recognition messages from different sources and cues-to-action on promoting corrective efforts on social media | Emerald Insight 1

🚨 New Publication Alert 🚨
Excited to share that my latest solo-authored article has been published:

Read the full article here: www.emerald.com/insight/cont...

See the comments for details.

29.04.2025 20:38 πŸ‘ 0 πŸ” 0 πŸ’¬ 3 πŸ“Œ 0

Amazing, congratulations!

17.01.2025 16:48 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Post image Post image

From MN: Turkeys in the snow. Apparently, they enjoy it and do not feel cold ❄️ !

11.01.2025 01:17 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0


Also many thanks to the guest editors, Dr. Jelle Mast and @mtemmerm.bsky.social, as well as the anonymous reviewers for their constructive and timely feedback.

06.01.2025 18:45 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

New publication: Our analysis suggests in health journalists’ COVID-19 tweets, first-person pronouns, moral appeals, and negative emotions increase engagement, while politicized language reduces it.

Huge thanks to my amazing advisor @ekvraga.bsky.social and my fantastic collaborator Yuming Fang.

06.01.2025 17:07 πŸ‘ 2 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0