updated inlg publications

content/publication/bleick-etal-2024-german/index.md

@@ -3,11 +3,11 @@
 
 title: "German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect"
 authors: ["Maximilian Bleick", "Nils Feldhus", "Aljoscha Burchardt", "Sebastian Möller"]
-date: 2023-05-08T10:33:03+02:00
+date: 2024-09-08T10:33:03+02:00
 doi: "10.48550/arXiv.2305.04582"
 
 # Schedule page publish date (NOT publication's date).
-publishDate: 2023-05-08T10:33:03+02:00
+publishDate: 2024-09-08T10:33:03+02:00
 
 # Publication type.
 # Legend: 0 = Uncategorized; 1 = Conference paper; 2 = Journal article;
@@ -19,7 +19,7 @@ publication_types: ["1"]
 publication: "Proceedings of the 17th International Natural Language Generation Conference"
 publication_short: "INLG 2024"
 
-abstract: We investigate the impact of LLMs on political discourse with a particular focus on the influence of generated personas on model responses. We find an echo chamber effect from LLM chatbots when provided with German-language biographical information of politicians and voters in German politics, leading to sycophantic responses and the reinforcement of existing political biases. Findings reveal that personas of certain political party, such as those of the {`}Alternative f{\"u}r Deutschland{'} party, exert a stronger influence on LLMs, potentially amplifying extremist views. Unlike prior studies, we cannot corroborate a tendency for larger models to exert stronger sycophantic behaviour. We propose that further development should aim at reducing sycophantic behaviour in LLMs across all sizes and diversifying language capabilities in LLMs to enhance inclusivity.
+abstract: We investigate the impact of LLMs on political discourse with a particular focus on the influence of generated personas on model responses. We find an echo chamber effect from LLM chatbots when provided with German-language biographical information of politicians and voters in German politics, leading to sycophantic responses and the reinforcement of existing political biases. Findings reveal that personas of certain political party, such as those of the 'Alternative für Deutschland' party, exert a stronger influence on LLMs, potentially amplifying extremist views. Unlike prior studies, we cannot corroborate a tendency for larger models to exert stronger sycophantic behaviour. We propose that further development should aim at reducing sycophantic behaviour in LLMs across all sizes and diversifying language capabilities in LLMs to enhance inclusivity.
 # Summary. An optional shortened abstract.
 summary: ""