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Remove, Reduce, Inform: What Actions do People Want Social Media
  Platforms to Take on Potentially Misleading Content?
v1v2v3 (latest)

Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?

1 February 2022
Shubham Atreja
Libby Hemphill
Paul Resnick
ArXiv (abs)PDFHTMLGithub

Papers citing "Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?"

5 / 5 papers shown
ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
Hua Shen
Tiffany Knearem
Reshmi Ghosh
Yu-Ju Yang
Nicholas Clark
Tanushree Mitra
Yun Huang
399
0
0
15 Sep 2024
Incorporating Procedural Fairness in Flag Submissions on Social Media
  Platforms
Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms
Yunhee Shim
Shagun Jhaver
196
0
0
13 Sep 2024
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content
  Moderation
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content ModerationConference on Fairness, Accountability and Transparency (FAccT), 2023
Jacob Thebault-Spieker
Sukrit Venkatagiri
Naomi Mine
Kurt Luther
189
8
0
23 May 2023
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating
  hateful, offensive, and toxic comments on social media
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social mediaACM Transactions on the Web (TWEB), 2023
Jinkui Chi
Lizhou Fan
Shubham Atreja
Libby Hemphill
AI4MH
242
139
0
20 Apr 2023
The Landscape of User-centered Misinformation Interventions -- A
  Systematic Literature Review
The Landscape of User-centered Misinformation Interventions -- A Systematic Literature ReviewACM Computing Surveys (ACM Comput. Surv.), 2023
Katrin Hartwig
Fred G. Doell
C. Reuter
301
37
0
16 Jan 2023
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