Analytics dashboards tell you what audiences do. Social listening tells you what they say.
Unit C: How do we research and monitor?
A newsroom editor refreshes a live traffic board every few minutes. Is she listening to her audience, or watching a number someone else designed to shape her decisions?
Today we move from counting the audience to listening to what it says and does, and we ask what that listening costs.
By the end of today
What you will walk out knowing
01
Read a dashboard critically
Identify what each analytics metric actually measures, what it obscures, and who it was designed to serve.
Reveal
02
Distinguish behavioural from conversational data
Behavioural data tells you what audiences do. Conversational data tells you what they say. Neither is complete without the other.
Reveal
03
Explain social listening
Social listening is the practice of scraping and classifying public online conversation to infer audience sentiment and emerging themes.
Reveal
04
Recognise the clickbait tension
Analytics create pressure to chase metrics. Understanding this tension is the first step toward critically evaluating how organisations respond to it.
Reveal
The analytic shift
From counting to listening
Before digital
Retrospective counting
Audience research happened in retrospect: circulation figures, television ratings diaries, quarterly reader surveys.
Print circulation audited monthly
TV ratings from sample diaries
Feedback loop: weeks or months
Data primarily for advertisers and managers
Digital era
Real-time listening
Platforms made audience data continuous, granular, and instantly available to editorial teams as well as business sides.
Clicks, scroll depth, and time-on-page live
Social comments scraped continuously
Feedback loop: minutes or seconds
Data flows directly into editorial decisions
Carlson (2018)
Measurable journalism
Material: analytics software, dashboards, the infrastructure underlying them
Organisational: new newsroom roles — audience editors, analytics producers, data teams
Practice: story selection and placement decisions now informed by live data
Professional: journalists accepting, resisting, or quietly gaming metrics
Cultural: popularity and newsworthiness pulled in opposite directions by the same number
Platform case · Carlson ethnography
Chartbeat and the habit-forming dashboard
Three headline metrics: Engaged Time (active reading duration), Recirculation (readers who visit a second page), Visitor Frequency (new, returning, loyal)
The alignment pitch: Chartbeat told journalists that engagement metrics reward good journalism. If readers return, their calculations "align wonderfully with quality."
Habit-forming design: writers described it as "insanely addictive" and checked it as compulsively as social media. One called it "a game you want to win."
Self-monitoring without coercion: management did not need to demand traffic. Journalists regulated themselves against the dashboard's number.
The lesson: a tool designed to help can also discipline. The dashboard makes the editor's choices visible to themselves, without anyone issuing a directive.
Core distinction
Behavioural vs conversational data
Behavioural data
"What they do"
Captured automatically from platform actions. Precise and continuous, but silent on motivation.
Clicks, page views, scroll depth
Time on page, bounce rate
Referral source: Facebook, search, direct
Device type, session frequency
Conversational data
"What they say"
Scraped from public posts and comments. Rich with meaning but harder to quantify and classify.
Comments, reactions, shares
Public posts and hashtags
Sentiment: positive, negative, neutral
Themes, keywords, emerging concerns
Social listening
How platforms scrape the conversation
Social listening tools aggregate public posts and classify them algorithmically. The audience speaks; the listener is invisible.
Web scraping at scale: services like Radian6 and Crimson Hexagon collect posts across platforms and assign a sentiment score to each comment via language processing algorithms.
New metrics: "share of voice" and "response share" translate social conversation back into the language of traditional audience measurement.
Methodological gaps: time windows, platforms included, and the scoring algorithms themselves are largely proprietary and unauditable.
The surveillance dimension: businesses "listen" to interpersonal conversation users did not direct at them, converting peer-to-peer sociality into market intelligence.
In Bangladesh: Facebook comment sections on Prothom Alo posts are the most accessible social listening surface for local editorial teams.
Sector tour
Who listens, and how
Every sector practises audience listening. The tools and metrics differ; the underlying logic is the same.
01
News: the traffic board
Prothom Alo and The Daily Star monitor Facebook reach and engagement per post in real time. Stories that land on the algorithm get immediate recirculation. Those that do not disappear within hours regardless of editorial quality.
Reveal
02
OTT: retention graphs
Hoichoi and Chorki track where in an episode viewers drop off. A sharp exit at minute 12 of a drama tells editors the cold open was too slow. The listening is visual, not verbal.
Reveal
03
Music: skip and save rates
Bangla artists on Spotify and YouTube track save rate, skip rate, and completion. A track skipped within 30 seconds earns no royalty. Listening data directly governs creative decisions.
Reveal
04
Creators: YouTube Studio
Bangladeshi street food creators check average view duration and click-through rate on thumbnails. The dashboard shows exactly which 10-second segment caused half the audience to leave.
Reveal
05
Games: session and spend data
PUBG Mobile and Free Fire operators monitor daily active users, session length, and in-game spending signals. A spike in early session drop-off triggers content or difficulty adjustments within days.
Reveal
Critical perspective
The resistance response
Analytics adoption in newsrooms was never smooth. Journalists built a counter-discourse to protect their professional autonomy.
01
The alignment argument
Chartbeat's pitch: engagement metrics reward good journalism. If readers return, your calculations align with quality. The data and the editorial judgment point the same way.
Reveal
02
The resistance argument
Critics asked: what if Watergate had been run through Chartbeat? Traffic to corruption investigations would have told you to stop. Popularity is not the same as public importance.
Reveal
03
The discipline effect
When the dashboard is always visible, self-monitoring replaces managerial coercion. Workers regulate themselves against the number. The tool extracts productivity while feeling like personal choice.
Reveal
04
The clickbait risk
Optimising for engagement creates structural pressure toward sensationalism and outrage. Not because anyone decides to lower standards, but because the metrics reward it incrementally.
Reveal
Click to decode
Click to decode
Annotate the dashboard
Each tile is a real metric from a newsroom analytics dashboard. Click to find out what it truly measures and what it conceals.
Concurrent visitors
4,832
right now
Engaged Time
2:14
avg per article
Recirculation
18%
read a second page
Bounce Rate
67%
left after one page
Referral: Facebook
58%
of all traffic
Loyal readers
9%
visit 5+ days/week
Branching scenario · Night editor
Branching scenario
What do you promote?
It is 10 PM. The Prothom Alo traffic board shows two competing stories. Story A: a minister resigns. Engaged Time 1:20, shares 340. Story B: an investigation into factory safety violations in Gazipur. Engaged Time 4:10, shares 18. Your editor says: "Give me more of what the data says people want."
Outcome A. Traffic spikes tonight. By morning, three outlets have run the same political story. Your investigation sits unread. A factory fire occurs two weeks later. A rival outlet publishes the safety story first. Readers ask why Prothom Alo did not warn them.
Outcome B. The safety story earns a slow burn of shares over 72 hours. Three NGOs cite it. It reaches a parliamentary committee. Traffic was lower that night, but engaged time was the highest of the week. The editor-in-chief sends a note: "This is what we are for."
Outcome C. A pragmatic middle path. The political story draws the audience; the editorial note on the investigation signals values. Neither story is sacrificed, but the hierarchy still had to be decided.
Sorting game
Sorting game
Classify the comment
Select a comment from the left, then click the correct sentiment column. These are the kinds of posts a social listening scan on a Bangladeshi news page would surface.
Comments to classify
Stance spectrum
Stance spectrum
Optimising for engagement serves the audience.
Strongly agreeStrongly disagree
Drag the slider to take a position
Knowledge check
Knowledge check
A newsroom dashboard shows a story with 4 minutes Engaged Time and only 18 shares. What does this combination most likely indicate?
C. Engaged Time measures active reading duration. Four minutes is high, indicating readers who click through are genuinely absorbed. Low share count simply means the story has not yet spread widely, not that it lacks quality or audience value.
Social listening tools scrape public online comments and assign sentiment scores algorithmically, without users knowing their posts are being analysed.True. Services like Radian6 and Crimson Hexagon use web scraping and language processing to classify social media posts at scale. The analysis is invisible to the people who wrote the comments.
For Bangladeshi publishers, Facebook referral traffic is a minor source of digital visitors compared with direct and search traffic.False. For most Bangladeshi news publishers, Facebook is the dominant traffic referral source, often accounting for well over 50 percent of digital visitors.
Your turn · 15–20 min
Activity: Listen In
Step 1
Choose a subject
Pick any Bangladeshi organisation: a news outlet, an OTT platform, a YouTube creator, or a brand. Go to their most active public platform, likely Facebook or YouTube.
Step 2
Classify 15 comments
Read the 15 most recent public comments on one post or video. Write a keyword summary for each in the positive, neutral, or negative column of the worksheet.
Step 3
Name the insight
Identify one thing this comment section reveals that their behavioural analytics alone could not have told them. That gap is your case-study building block.
Today in five lines
Recap
01Measurable journalism is simultaneously a material, organisational, practice, professional, and cultural shift in how newsrooms work.
02Behavioural data tells you what audiences do. Conversational data tells you what they say. Neither is complete without the other.
03Social listening is the practice of scraping and classifying public online conversation, but the methodological gaps and surveillance dimensions are significant.
04Chartbeat's dashboard creates self-monitoring without coercion: journalists regulate themselves against the number.
05The clickbait pressure is structural: popularity and public interest are not the same, and optimising for the first can damage the second.
Next class: Knowing the Audience. We move from listening to researching: segmentation, personas, and the mixed-method tradition.
Digital Audience · Lecture 10
The click tells you what. The comment tells you why.