D2: Making�Data-based decisions
How to WIN: Dealing with online harassment
One of the challenges to press freedom, highlighted in WAN-IFRA’s report on World Trends Outlook 2021-22, is online harassment of journalists.
Nearly four in 10 of respondents in developed countries and just over four in 10 in developing economies reported that they – or one of their colleagues – had encountered online harassment, the report said.
In 2021, Euronews highlighted the experience of Blaz Zgaga (pictured), an investigative journalist from Slovenia. “After questioning the legitimacy and management of the COVID-19 crisis unit set up by the government at the start of the pandemic, he was the subject of a violent smear campaign on social media,” Euronews reported. “This occurred after the government's crisis unit republished an anonymous tweet insulting the journalist.”
2
INTRODUCTION: D2: Making Data-based decisions
Image source: Socialni demokrati
How to WIN: Dealing with online harassment
After receiving dozens of death threats, and support from several press freedom organisations, including WAN-IFRA, the Slovenian government was asked by the European Commission to ensure Zgaga’s safety. The threats ended almost immediately, Euronews says.
The picture is often darker for women and female-identifying journalists. A 2018 survey from the International Federation of Journalists found almost two-thirds of women journalists globally have experienced online abuse.
As of early 2025, WIN was due to publish its Newsroom policy guide to fight online harassment.
Further reading: Protecting journalists in the Digital Age: an inside look into the workings of the world’s first Online Safety Editor - WAN-IFRA
3
INTRODUCTION: D2: Making Data-based decisions
Image source: Socialni demokrati
What is covered�in this lesson?
SECTION 1: Editorial analytics and dashboards - a reminder
STOP AND THINK: What niche �markets does your organisation cover? Are there any gaps?
SECTION 2: User needs
SECTION 3: Publishing schedules and social media strategy
INDIVIDUAL ASSIGNMENT: Write up a business case for your idea for a new niche product that you thought about in Slide 22. Is your idea backed by data? Is there a gap in the market for it?
4
INTRODUCTION: D2: Making Data-based decisions
Section 1: Editorial analytics and dashboards - a reminder
Reminder: Tools for tracking
6
SECTION 1: D2: Making Data-based decisions
Google Analytics: insights
Google’s News Consumer Insights tell you about:
Loyal Readers and Brand Lovers represent 20% of your audience, drive 80% of your pageviews and 85% of your ad revenue, according to Google.
Focus on your reader engagement to push your Casual Readers down the funnel to become loyal or brand lovers. We look at the funnel in more detail in Module D3: Audience Acquisition and Retention.
In doing experiments, newsrooms can set a target in the rate of engagement to increase brand lovers and loyal readers in the hope that newsrooms can monetize their content. You can read more on Google Analytics Dashboards here.
7
SECTION 1: D2: Making Data-based decisions
Reminder: The most important metrics to know
8
SECTION 1: D2: Making Data-based decisions
Reminder: tracking tools give you information on…
9
SECTION 1: D2: Making Data-based decisions
Reminder: They also provide information such as:
10
SECTION 1: D2: Making Data-based decisions
Reminder: Editorial analytics and dashboard
11
SECTION 1: D2: Making Data-based decisions
Reminder: Editorial analytics and dashboard
12
SECTION 1: D2: Making Data-based decisions
Reminder: The Guardian’s�Ophan analytics tool for journalists
13
The editorial dashboard for The Guardian will show journalists the page views on a story, how people read a story, where they found it and from where it was being read. ��This information can be used to make further editorial decisions, such as promoting the article on Facebook, commissioning follow-ups or interviews etc that will add value for readers. This is vital, especially in paid environments.
SECTION 1: D2: Making Data-based decisions
Loyalty versus volume
14
SECTION 1: D2: Making Data-based decisions
Section 2: User needs
Reminder: The BBC User Needs Matrix
In Module B3, as part of Digital ABC, we looked at user needs:
16
SECTION 2: D2: Making Data-based decisions
Reminder: The BBC User Needs Matrix
In Module B3, as part of Digital ABC, we looked at user needs:
17
SECTION 2: D2: Making Data-based decisions
Reminder: Tapping into the needs of interaction for news
18
SECTION 2: D2: Making Data-based decisions
Reminder: Tapping into the needs of interaction for news
19
SECTION 2: D2: Making Data-based decisions
Reminder: Using data effectively in your newsroom
The graph on the left is a great example of how data can be used to demonstrate the need for change. The shadow peaks in the background of the graph show audience visits (page views) in a 24-hour period for a daily newspaper and website. The reading peak is clearly between 6am and 9am. The bars (look at grey first) show the number of articles published online: showing clearly that most publishing was happening late afternoon and evening (the pull of the newspaper) - the time when the least number of readers was present.
20
SECTION 2: D2: Making Data-based decisions
Image source: Lisa MacLeod
Reminder: Moving to an audience-centric viewpoint
Once this was obvious to the newsroom attempts were made to change shifts and processes, and the orange bars show the progress made. This publisher is now a huge digital publisher, but it is valuable to use such data points when attempting to activate positive newsroom change.
21
SECTION 2: D2: Making Data-based decisions
Image source: Lisa MacLeod
Test your assumptions. Base decisions on data
22
Think about a new audience, from your Module D1 assignment. Now consider the data analytics you have access to. To start with, break down an audience you already know and have. Fill in that data for Audience 1. Then think about what data you have for identifying your new audience from D1. Perhaps they are supporters of a local football team, or maybe they are young business people or music fans. Consider coverage from their perspectives. Or something else. You decide.
Criteria | Audience 1 | Audience 2 | Audience 3 |
Who are they? Age group? Profession? Location? | | | |
What are their interests? What topics are they likely to consume? | | | |
SECTION 2: D2: Making Data-based decisions
What do we mean by niche content?
One way smaller newsrooms can address user needs is by covering niche content. “Nichification” is specialist copy that targets particular audiences.
You should be able to glean this information by for example asking users what topics they want to read about or watch when they register to your site.
When “nichification” is done well, it can add value to your website, driving traffic, registrations and conversions to subscriptions because this content should cater to users’ specific needs and answer problems or issues in their lives.
23
SECTION 2: D2: Making Data-based decisions
Image source Screenshot from BBC Food - Recipes and inspiration from your favourite BBC programmes and chefs
What do we mean by niche content?
To develop a niche vertical or hub, you should also be analysing your audience data to identify what topics that could be of further interest.
A great example of niche content is: Food. Everybody eats! Going out to eat or cooking at home, buying ingredients from the same shops as top restaurants chefs, swapping foodie tips can all make great content - and generate shows, newsletters, videos, audio and text - see the BBC Food content as one example.
24
SECTION 2: D2: Making Data-based decisions
Local news succeeds with niche content
Local news sites have had success with this approach. According to an article published by WAN-IFRA Heidenheimer Zeitung, a German newspaper, has seen a strong increase in digital subscriptions by focusing on the following topics:
Other examples of niche markets include agriculture and mining. According to Zimbabwe’s YAFM, the radio station has positioned itself to cater for “the voice of the miners, which has an audience not currently catered for by any other media medium in the country”.
They also broadcast all their programmes in Shona/Karanga, English and Ndebele. Local languages can offer huge potential for niche markets.
25
SECTION 2: D2: Making Data-based decisions
Case study: AlMasry AlYoum, Egypt
Egyptian news group AlMasry AlYoum had built up a reputation for serious coverage of politics and the economy.
But in the digital world it wanted to expand into sub groups - so it has built dedicated “sub sites” to cover niche content, including:
With sports coverage, for example, they will not just cover the game but look at other aspects such as:
And they have seen great success, with “huge audiences” particularly when their are big events or games, says Ehab Zelaky, executive editor in chief at AlMasry AlYoum.
26
SECTION 2: D2: Making Data-based decisions
Ehab Zelaky, executive editor in chief at AlMasry AlYoum; and Below, the coverage on the lifestyle site Icona
Image supplied by: Ehab Zelaky
Planning versus breaking news
Weighing up how much content should be planned versus how much should be breaking news can be the subject of heated debate in newsrooms.
In a digital-first business, planned content should make up the majority of what is published because the value-added story that requires an interactive graphic, video or audio, takes time to research and collaborate with visual desks.
These are typically agenda-setting, exclusive investigations that once published should dominate the news agenda of the day. Or background context, opinion and analysis explaining to the user what the story means for them.
And it is the type of content that will set your business apart from rivals. For a subscription site, these stories should be the type of content that drives conversions or registrations, and greater traffic.
Breaking news is still very necessary in a digital-first Editorial. But these types of stories are typically generic, readily available elsewhere and probably for free on rival sites. But they are still valuable to drive traffic - and increase reach - despite being of limited value in terms of revenue.
A good rule of thumb is to aim for 60 per cent of planned content and 40 per cent breaking news.
27
SECTION 2: D2: Making Data-based decisions
Case study: Manila Standard, Philippines
28
If breaking news is covered extensively in your region by other organisations, it may not be efficient or make business sense to compete to cover the same story.
This is a stance that Manila Standard (pictured right) takes in the Philippines.
Joyce Pañares, news editor, says the newsroom will focus on explaining the bigger picture, contextualizing the story and presenting it in a way that may be long form, but easy to digest. “That's how we try to differentiate our story,” she says.
SECTION 2: D2: Making Data-based decisions
Stop & Think
Let’s stop and think for a moment:
29
SECTION 2: D2: Making Data-based decisions
Section 3: Publishing schedules and social media strategy
Working to a playbook
Editorial departments are long used to working with style guides that lay out grammar and preferred spellings. But how many have playbooks on how to handle a major breaking news story or investigation? A political scandal? Or a terrorist incident?
Digital journalism calls for a playbook - because what works and what doesn’t can change year by year.
A playbook lays out a plan for how to handle particular types of stories, from long form to short news items, as these are different types of stories so should be displayed accordingly.
It should include:
Live blogs are an effective way to showcase big breaking news that moves on significantly throughout the day such as a major national election or a terrorism attack.
But it should not drift on aimlessly once the story is fading and the audience is losing interest.
A playbook can lay out these types of guidelines and help better decision-making in a fast-paced 24-hour news cycle as well as improve workflows with a more standardised and consistent approach.
31
SECTION 3: D2: Making Data-based decisions
Where do video and audio fit in?
Today’s consumers increasingly prefer to watch and listen to content, as opposed to read it. Video in particular is becoming a more important source of online news, especially with younger groups, Reuters Digital News Report 2024 says. Short news videos were accessed by two-thirds of its sample each week, with longer formats attracting around 51%.
What is more, users tend to consume news video via online platforms (72%) rather than publisher websites (22%), increasing the challenges around monetisation and connection.
The global over-the-top (OTT) services market, which delivers content directly to users via the internet, is projected to reach $86.6billion by 2026, according to an article published by Brightspot.com. As a result, publishers know OTT audio and video content is critical to keep consumers engaged with their brands, the article says.
According to an article in Forbes, these formats should fit into a content strategy and include:
32
SECTION 3: D2: Making Data-based decisions
Why publishing schedules are key
Publishing schedules are essential to coordinate when to publish your best, high quality content targeted to peak audience times. This audience-centric approach can help build traffic and was used by the Financial Times to increase subscriptions.
Here are four key reasons why publishing schedules work better than an ad hoc, ‘publish when story’s ready’ approach:
33
SECTION 3: D2: Making Data-based decisions
The Big Read at the FT was given a 5am or 11am publication time every day to target specific audiences
How publishing schedules work
A publishing schedule is a transparent list of stories across all sections/departments, including all content - whether that is daily newspapers, weekly or monthly magazines, special reports, weekend newspapers.
It also includes all visual desks, from pictures and interactive graphics to video as well as audio and social media, which is becoming a news desk in its own right.
A schedule includes the following:
34
SECTION 3: D2: Making Data-based decisions
How publishing schedules work
The FT started its schedule by targeting two key audience times:
Typically planned content was displayed prominently in the top homepage slots to ensure maximum exposure for several hours.
The Times in the UK took a different approach with set key publishing times throughout the day. This method can help to manage tight resources and also build habit with users knowing when the site is updated.
Others take a more ad hoc approach and publish when a�story is ready. This works well with breaking news.
But with analysis and backgrounders a schedule can�increase the scope to be strategic with a targeted approach�to key audiences.
35
SECTION 3: D2: Making Data-based decisions
Stop & Think
Let’s stop and think for a moment:
36
SECTION 3: D2: Making Data-based decisions
Social media - the new news desk
Once you have a publishing strategy in place, you can align your social media promotion with it to grow your audience reach and align with the business’s goals.
You will need to do your audience research to know which platforms your users are on and target those platforms. A YouTube audience is very different from Instagram and different again from Facebook or Twitter.
You will also need to consider whether:
Also consider the writing style: asking questions can generate more user interest. Headlines should aim to connect emotionally with users. Involve your journalists to share content online.
Social media can help to grow the news business by:
37
SECTION 3: D2: Making Data-based decisions
Facebook Live case study: AlMasry AlYoum, Egypt
News organisations in Egypt aim to harness the popularity of Facebook Live debates and coverage because of the potential to generate revenue from advertising.
AlMasry AlYoum, which has nearly 13 million followers on its Facebook Live page, has a dedicated team for FB Live, with a head coordinator planning live daily broadcasts.
They use a live broadcast feature in Facebook so that their journalists can report on a variety of topics ranging from daily life activities to court cases, from wherever they are in the country.
38
SECTION 3: D2: Making Data-based decisions
AlMasry AlYoum’s Facebook Live page
Image source: AlMasry AlYoum
Facebook Live case study: AlMasry AlYoum, Egypt
All they need to do, says Ehab Zelaky, executive editor in chief, is have a reporter be in the place of the event, and have access from Social Media admin to livestream to their FB page, and “the viewers come”.
In some cases they broadcast some pre-recorded videos through the livestream feature.
There is one word of caution: take care of the standard of your videos and content, as low quality work can have a negative effect to your brand.
39
SECTION 3: D2: Making Data-based decisions
AlMasry AlYoum’s Facebook Live page
Image source: AlMasry AlYoum
Case study: Duma FM, Botswana
40
SECTION 3: D2: Making Data-based decisions
Duma FM has seen its Facebook community grow from 60,000 in 2019 to over 670,000 in 2025
Duma FM connects emotionally with its users on social media
How to drive traffic post-publication
Once a story is published online, that is not the end of the process in terms of driving traffic to the content.
Steps that editors can take to improve traffic post-publication include:
Monitor the story performance.
Is it overperforming for the position it has on the homepage? Or is it not doing as well as expected?
41
SECTION 3: D2: Making Data-based decisions
Promote stories.
Check you have promoted the story�on all relevant social media platforms,�with an angle that connects emotionally and will entice users �to click through to�the site.
Change or test headlines.
Is it entertaining, attention grabbing, and has an active verb that emotionally connects with the reader?
Insert SEO words�into the headline.
The headline may be entertaining but does not include search engine optimized words, such as the full name of the place or person the story is about. Put them in.
Rotate content regularly.
Change the story placement on the homepage to gain maximum exposure to all your content. How high up the homepage a story is can affect how many people see it.
2
3
4
5
1
Case study: Financial Times, UK
42
Look how many times the Financial Times mentions Twitter and Elon Musk’s full name in headlines.
This tactic is used to increase reach through search engine optimisation.
The analytics team would provide data on whether Musk’s name is more searched on that Tesla, which would drive the decision in headline writing.
SECTION 3: D2: Making Data-based decisions
Case study: Financial Times, UK
43
This is an example of how the FT treated the same story differently for its social media and website.
On the right, the story appeared with a more traditional photo and headline and standfirst, telling the story as it is.
On the left, the Facebook post uses a more casual photo of the chief executive. The hook is chatty, witty and even references millennials - a target audience.
SECTION 3: D2: Making Data-based decisions
Case study: Financial Times, UK
44
This is an example of how the FT changed headlines post-publication its drive to attract women.
By using the word “men” in the top headline, it was thought that few women would read the story.
We changed the headline to the one below. It did pick up morea readers generally - and the same headline even went into print. While the word “women” attracted the target audience it also grabbed men’s attention too.
SECTION 3: D2: Making Data-based decisions
Quiz Assignment
45
Content Strategy
End of Lesson Two