TheoActual & Naria
TheoActual
Naria, I’ve been digging into how subtle audio cues in news broadcasts can bias viewers—want to investigate that together?
Naria
Sounds like a perfect playground. Grab some raw broadcast files, strip out the speech, and I’ll layer in some subtle reverb and low‑frequency hums. Then we can run a quick listening test—see if people notice the bias or just feel… off. Let’s get the mic, the software, and some coffee ready. Ready to stir the audio pot?
TheoActual
Sounds solid. I'll pull the latest raw feeds, set up the de‑speech pipeline, and queue the reverb‑ and hum‑add scripts. We’ll run the listeners through a blind test, track their responses, and see if the bias shows up or just feels… off. Coffee’s on me, mic’s on standby. Let’s get this show on the road.
Naria
Nice, let’s crank it up. I’ll start chopping the audio in real time, throw in some randomized delay pockets and that metallic shimmer we love. If the audience feels a tilt, we’ll tweak the frequencies until it’s just a whisper of bias. Coffee is the fuel, mic is the wand—let’s make the unseen audible. Let's roll!
TheoActual
Alright, let’s do it—time to pull the strings, tweak those delays, and see how deep the whisper of bias can go. Coffee’s on me, mic’s set, and we’re ready to make the unseen audible. Let's roll.
Naria
Let’s fire up the mix! I’ll start looping a few seconds of the raw feed, then splice in a subtle delay of 12 ms, add a 200 Hz hum, and sprinkle some stereo widener. Watch how the listeners' brains react. Coffee's brewing—time to taste the bias. Go!