It’s finally done: Our paper “Mitigating Viewer Impact From Disturbing Imagery Using AI Filters: A User-Study” has finally been published!
For the study, we investigated how different AI filters can be used to detect and ‘alienate’ disturbing or graphic imagery and, thereby, potentially reduce mental harm for those who are exposed to such material.
At the same time, we wanted to still make it possible for viewers to get some sense of what an image is about – and find out what works best for professionals weighing up those two aspects.
The study is based on feedback from 107 participants, mainly journalists and human rights investigators.
If you want to get access to the full study you can view or download it via the link included below. However, this is limited to 50 persons and works on a first come first served basis afaik, so better be quick if you are interested.
I would herewith also like to express a BIG thank you to all who took part in the study. This is so much appreciated. Gratitude and kudos also goes to the study’s lead investigator Ioannis Sarridis as well as our co-researchers Symeon Papadopoulos and Olga Papadopoulou of the Media Analysis, Verification and Retrieval (MeVer) Group at CERTH-ITI in Thessaloniki, Greece.
Enough said: here’s the link to the study paper. Feedback very much appreciated!
My Media Work World 