From Street Journalism to Semantic Panic: A Digital Ethnography of Reaction Cascades, Outrage Amplification, and Investigatory Signaling in Platformed Media

This paper presents a digital ethnography of a contemporary reaction cascade originating in user-generated investigative content and propagating through influencer commentary, partisan reframing, and institutional response. Using a corpus of transcripts and reaction videos associated with high-reach streamers, independent street-journalism footage, and secondary montage commentary, the study examines how localized allegations of public-fund misuse are transformed into moralized narratives of collective threat. Rather than adjudicating factual guilt or innocence, the analysis models the social mechanics by which investigative leads are converted into symbolic verdicts under platform incentives. The paper identifies recurrent mechanisms—category collapse, evidentiary laundering, retrospective certainty bias, and outrage-driven verification substitution—that accelerate attention while degrading epistemic rigor. The findings contribute to digital ethnography and media ecology by formalizing reaction cascades as predictable social processes that emerge when investigative uncertainty collides with algorithmic amplification and institutional signaling. The study offers a reproducible framework for analyzing how meaning stabilizes prematurely in platformed publics without resolving underlying empirical questions.