What “audience” even means now, and where you sit inside it.
Unit A: Who is the digital audience?
Digital Audience · Lecture 01
What the word “audience” even means now, and where you sit inside it.
By the end of today
What you will walk out knowing
01
Tell four audiences apart
Name the difference between a mass, segmented, networked, and data audience, and why each shift changed media.
Reveal
02
See it as a construction
Grasp that nobody ever sees the audience: every era invents a way to picture it, and the picture is partly made by whoever measures.
Reveal
03
Read it across sectors
Spot the same shift in news, OTT, games, music, and the creator economy.
Reveal
04
Locate yourself
Build your own Media Day map. It is the first brick of your Bangladesh case study.
Reveal
The puzzle behind the class
We use one word for four completely different things. A newspaper’s readers, an advertiser’s target segment, a hashtag’s swarm, and a platform’s data profile are all called “the audience.”
Today we pull those four apart and give each one a precise name.
Click to reveal
Click to reveal
What does the institution actually see?
Three audience moments. Click each one to find out what the media organisation knows about the people watching, reading, or scrolling.
01
BTV evening news, 8pm
The broadcaster sees a number: a TAM rating, estimated from a small panel sample. It does not know your name, your reaction, or whether you were even in the room.
Reveal
02
A Facebook thread on rising bus fares
Facebook sees every interaction: who clicked, who scrolled past, who lingered, who shared and to whom. The people in the thread do not see any of this. The platform does.
Reveal
03
Your TikTok For You feed, tonight
TikTok holds a detailed behavioural profile: what you watched to completion, what you skipped in three seconds, what time of night you scroll. It uses this to predict your next session before you open the app.
Reveal
Same word, three completely different pictures. That gap is what this course is about.
Era 1 · roughly 1920s–1980s
The mass audience
A large, anonymous aggregate sitting at the receiving end of a one-way broadcast.
One-to-many. A few producers spoke; millions listened, watched, or read.
One direction. The signal ran outward, with no easy way for anyone to answer back.
Counted, never known. No one could see this audience. It was sampled, estimated, and guessed at.
It shows up as a rating, not a person. The audience exists as a number on a chart.
In the room: BTV’s national news or Bangladesh Betar: one programme, a million unseen receivers.
Era 2 · roughly 1980s–2000s
The segmented audience
Cable, FM formats, and special-interest magazines sliced the mass into demographic and taste segments an advertiser could buy.
Divided by type. Audiences split along age, gender, income, and lifestyle.
Built for advertisers. A narrower, well-defined slice is easier to sell.
Narrowcasting, not broadcasting. A cooking channel, a teen magazine, a sports station.
Still one-way. The audience is sorted, but it still mostly receives.
In the room: a music FM format or a cricket-only channel built for one kind of listener.
Era 3 · roughly 2000s–2010s
The networked audience
The audience starts talking back, connecting to itself, and re-distributing what it receives.
Many-to-many. Anyone can reply, quote, remix, or repost.
It connects sideways. People reach each other, not just the broadcaster.
It carries the message. The audience becomes a distribution channel of its own.
Communities form. Fandoms, comment threads, and groups gather around content.
In the room: a Facebook thread on a bus-fare hike: commenters, sharers, and arguers all at once.
Era 4 · 2010s–now
The data audience
Every tap is logged. “The audience” becomes a behavioural profile inferred from what you do, then handed to an algorithm.
You as a data double. A version of you, assembled from your activity.
Inferred, not declared. The system guesses who you are from what you watch and skip.
Sorted in real time. Machines re-segment the audience by the second.
The imagined you may not be you. The profile can be confidently wrong.
In the room: your TikTok For You feed: an audience the algorithm builds out of your own behaviour.
Drag to scrub
Drag to scrub
A hundred years of “the audience”
The idea under all four eras
Nobody has ever seen the audience
The audience is never fully visible. Every era invents a way to picture it, and that picture is always partly built by whoever does the measuring.
01
A useful fiction
The audience we talk about is partly imagined: a working picture an institution constructs so it can plan, sell, and decide.
Reveal
02
A moving target
The very meaning of ‘audience’ keeps shifting with each new tool. Change the measure and you change what counts as the audience.
Reveal
03
Power follows the measure
Whoever defines how the audience is counted shapes which content survives. The metric is not neutral. It has consequences.
Reveal
The same shift, everywhere
Five front-rows, one story
This course keeps five sectors on stage. Each one travelled the same road: from a countable crowd to an inferred profile.
01
News
Prothom Alo’s print readers became logged-in profiles, ranked dwell-time, and a traffic dashboard.
Reveal
02
OTT
Hoichoi and Netflix viewers became recommendation targets, scored on what they finish and abandon.
Reveal
03
Games
A player base became retention cohorts: daily-active users tracked session by session.
Reveal
04
Music
Spotify and YouTube listeners became playlist data and skip-rate signals.
Reveal
05
Creators
A follower count became an algorithmic reach lottery the creator cannot fully control.
Reveal
06
Platforms
Underneath them all sits one logic: behaviour in, an audience profile out.
Reveal
Drag & place
Drag & place
Where does each audience sit?
PassiveActiveCollectiveIndividual
Scrolling a TikTok feedArguing in a Facebook comment warReading a printed newspaperA Friday cinema crowdEditing a K-pop fan-camChatting in a live-stream
Drag each chip onto the grid. There is no single right answer. Defend your placement.
Knowledge check
Knowledge check
Which best describes the data audience?
C. A is the mass audience, B is the segmented audience, and D is the networked audience. The data audience is the inferred profile, built from behaviour and handed to the algorithm.
In the mass era, a broadcaster could watch individual audience members and see exactly what each one did.False. The mass audience was invisible: reached only through samples, ratings, and guesswork.
A networked audience does not just receive content. It also helps distribute it.True. Replies, shares, and remixes turn the audience into a distribution channel.
Your turn · 15–20 min
Worksheet activity
My Media Day
Step 1
List eight moments
Write down eight media touchpoints from yesterday: the first thing you opened, the last thing you watched, everything in between.
Step 2
Tag each one
For every moment, mark it: active or passive? alone or with others? did you pay, or trade your attention?
Step 3
Find your pattern
Which audience were you, mostly: mass, segmented, networked, or data? Write one sentence on what surprised you.
Today in five lines
Recap
01“Audience” names four different things: mass, segmented, networked, and data.
02Each era is defined by how the audience can answer back, and how closely it can be tracked.
03Nobody sees the audience directly; every era constructs it through its chosen measure.
04The same shift runs through news, OTT, games, music, and creators.
05You live mostly in the data era. Your Media Day map proves it.
Next class: The Active Audience: how people decode, resist, and re-tell what they are handed.
Digital Audience · Lecture 01
See you in the network.
This week’s reading
Reading list
PrimaryVirginia Nightingale (ed.), The Handbook of Media Audiences — Introduction
PrimaryHill & Lunt (eds.), The Routledge Companion to Media Audiences — Introduction