Beschreibung
The ever-increasing volume of information disseminated bytechnological advances leads to new challenges with respect to misinfor-
mation and fake news. Misinformation could potentially affect people in
their daily life, and the choices they are making, be it medical, financial,
or the upcoming elections. Technological solutions to identify, verify, and
manage misinformation aim to combat the harmful effects of misinfor-
mation. In this research proposal, we explore the use of machine learning
algorithms in combination with symbolic approaches to identify misin-
formation in German news texts in order to help users spot deceptive
articles. Based on linguistic aspects of the text, news stories are classified
as misleading or truthful. In particular, we plan to compare it to existing
symbolic and sub-symbolic approaches for misinformation detection.
| Zeitraum | 8 Sept. 2021 → 15 Sept. 2021 |
|---|---|
| Ereignistitel | 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021, RuleML+RR-Companion 2021 |
| Veranstaltungstyp | Keine Angaben |
| Bekanntheitsgrad | International |