Mitigating Viewer Impact From Disturbing Imagery Using AI Filters: A User-Study

Author:

Sarridis Ioannis1,Spangenberg Jochen2,Papadopoulou Olga1,Papadopoulos Symeon1

Affiliation:

1. Centre for Research and Technology Hellas, Thessaloniki, Greece

2. Deutsche Welle, Berlin, Germany

Funder

MediaVerse

Publisher

Informa UK Limited

Reference32 articles.

1. The human cost of online content moderation;Arsht A.;Harvard Journal of Law and Technology.,2018

2. Safer viewing: A study of secondary trauma mitigation techniques in open source investigations;Baker E.;Health and Human Rights,2020

3. Recommender systems survey

4. A Meta-Analysis of the Efficacy of Trigger Warnings, Content Warnings, and Content Notes

5. Curiosity Disturbed the Cat: Instagram’s Sensitive-Content Screens Do Not Deter Vulnerable Users From Viewing Distressing Content

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