A multidisciplinary analysis of transparent AI-driven toxicity detection tools for civic engagement platforms.
Saved in:
| Title: | A multidisciplinary analysis of transparent AI-driven toxicity detection tools for civic engagement platforms. |
|---|---|
| Authors: | Zangl, Maria1, maria.zangl@uni-graz.at, Loi, Iliana2, loi@ceid.upatras.gr, Zachos, Panagiotis2, p_zachos@ac.upatras.gr, Bedek, Michael1, michael.bedek@uni-graz.at, Dimogerontakis, Emmanouil3, m.dimogerontakis@legalshield365.com, Nikolaou, Charikleia-Eleni3, tmt@legalshield365.com, Albert, Dietrich1, dietrich.albert@uni-graz.at, Moustakas, Konstantinos4, moustakas@upatras.gr |
| Source: | AI & Society; Jan2026, Vol. 41 Issue 1, p527-544, 18p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 09515666 |
|---|---|
| DOI: | 10.1007/s00146-025-02424-5 |