Versteckte Botschaften auf Social Media – Was hinter Algospeak steckt
Summary
This episode explores "AlgoSpeak," a coded language users employ to bypass social media content filters. It examines how this self-censorship protects creators from shadowbans but also enables hate speech and right-wing extremism to evade detection. Experts discuss the lack of transparency in platform algorithms and the societal impact on public discourse. The segment concludes by noting how these digital codes are increasingly influencing everyday spoken language.
Topics discussed
Intro: Experiment with TikTok and Instagram feeds
Definition of AlgoSpeak and its purpose
Demonstrating content filtering with sensitive terms
Interview with Robin Solff on self-censorship
Linguistic techniques: Lead Speak, icons, and emojis
AlgoSpeak used for hate speech and extremism
Impact on mental health and public discourse
Challenges for creators and algorithmic suppression
Comprehension of codes and the 'Black Box' problem
Platform transparency and lack of clear rules
Interview with Matthias Spielkamp on moderation
Responses from TikTok and Meta on content policies
Critique of AI moderation and need for human review
AlgoSpeak as a social signal and creative tool
Positive uses: Resistance in authoritarian regimes
Societal reflection and the need for regulation
Influence of AlgoSpeak on everyday language
Podcast recommendation: 'Reich' on climate denial
Outro and credits
Listen ad-free on Castria