- PressGazette | What will generative AI do to journalism? Experts and execs sound off at NewsXchange (11 min read)
- Wall Street Journal | Google Violated Its Standards in Ad Deals, Research Finds (5 min read)
- Bloomberg | Canada Will Require Google and Meta to Pay for News Under Passed Bill (2 min read)
- Financial Times | Landmark EU digital rules face first legal challenge (3 min read)
- Bloomberg | Film and TV Profits Have Collapsed Over the Last Decade (9 min read)
- NiemanLab | The “passive news consumer” is on the rise (5 min read)
- NiemanLab | Why researchers shouldn’t study The New York Times to understand U.S. news media as a whole (4 min read)
- The Washington Post | New accessibility help guide available for Washington Post website (1 min read)
Category results for "Perspectives"

DCN’s must reads: week of June 29, 2023

DCN’s must reads: week of June 22, 2023
Here are some of the best media stories our team has read so far this week:
- Financial Times | AI and media companies negotiate landmark deals over news content (7 min read)
- NBC News | ‘A moment of revolution’: Schumer unveils strategy to regulate AI amid dire warnings (5 min read)
- Wall Street Journal | Marketer Trade Group Report Shows Ad Spending ‘Rife With Waste’ (4 min read)
- Gizmodo | Website Owners Say Traffic Is Plummeting After a Facebook Algorithm Change (6 min read)
- New York Times | G.O.P. Targets Researchers Who Study Disinformation Ahead of 2024 Election (9 min read)
- NiemanLab | Why news subscriptions feel like a burden to young people (16 min read)
- Politco | Google forced to postpone Bard chatbot’s EU launch over privacy concerns (2 min read)
- The Entertainment Guy | 15 Thoughts On Disney’s Big Content Purge (9 min read)
- Intelligencer | AI Is a Lot of Work (35 min read)
DCN’s must reads: week of June 15, 2023

Media execs can’t afford to sleep on attention
As publishers and advertisers look for privacy-compliant metrics to help evaluate performance and engagement, everyone’s talking about attention – and for good reason. While it may seem easy to view the topic as just another passing fad, attention is likely here to stay.
A 2021 Microsoft study revealed the average attention span is just eight seconds. It has also been estimated that the average American is exposed to anywhere from 4,000 to 10,000 ads per day. Ads that hold attention for at least 2.5 seconds have been proven responsible for a 50% increase in sales.
If stats like that aren’t enough to convince you, note that attention metrics can also serve as part of a solution to many of the industry’s ongoing shifts. For example, attention measurement solutions are generally cookieless, which provides an option given inevitable cookie deprecation. Attention metrics can be used to serve more relevant ads, thereby reducing the environmental impact of campaigns. They can also be used to help prove the impact of marketing spend in times of economic uncertainty.
With attention looking likely to become industry-standard, publishers need to truly understand attention metrics and how best to leverage them. Those who are able to prove the quality of their inventory stand to gain in the short and long term.
A quick refresher on attention
Traditional metrics like Video Completion Rate (VCR) and Click Through Rate (CTR) no longer provide a comprehensive way to track engagement. Viewability, as defined by the Media Rating Council, only ensures an ad is in the viewable area of a user’s screen for a set duration – typically one second. Attention metrics offer a more detailed understanding of how users interact with ads and provide valuable insights into engagement.
By analyzing attention metrics, advertisers can evaluate the effectiveness of different elements within an ad, such as specific visuals, headlines, or calls to action, as well as the probability of a specific placement to capture user attention. This data can inform iterative improvements in creative design, supply targeting, and placement strategies to optimize audience attention and engagement.
Lab-based methodologies and panel-based eye-tracking technology are two of many approaches used to capture attention metrics. Ultimately, these attention metrics and measurement approaches give publishers and advertisers a more nuanced understanding of audience engagement, ad effectiveness, and brand impact.
What you need to know now
Attention measurement allows advertisers to target inventory that generates attention and campaign outcomes. Publishers can use it to guarantee advertisers increased visibility and brand recall, which isn’t possible with traditional clickthrough and impression metrics.
Some say attention refers to an ad’s ability to: successfully engage a user, measure the quality and quantity of attention, and measure media and creative effectiveness. However, at present, there’s no uniformly agreed-upon definition of attention.
As a result, no standard measurement methodology exists yet either. Many big industry providers like MOAT, IAS, and DoubleVerify (as well as new grassroots attention measurement providers) have developed multiple KPIs and technologies for measuring attention. While there are many applications and use cases, attention vendors often focus on measuring media quality and predicting which placements (a combination of domain, device, and format) are likely to generate more attention.
However, the IAB recently gathered a group of key stakeholders to focus on the measurement landscape, increasing the chances that attention will soon become the new standard industry metric.
How publishers can benefit
It’s true that the attention trend is driven by demand, and mostly delivers buyer-driven benefits. However, media companies can also use attention metrics to benchmark their inventory to understand what’s driving quality engagement to inform pricing to increase revenue and improve the audience experience.
Attention metrics can be used to track the site user’s journey. Time-in-view, scrolling behavior, and mouse-over-data can all be used to determine time spent interacting with page elements – including ads. This allows you to analyze placement on your pages through eye-tracking panels and follow-up questionnaires to determine which ad formats generate more attention and the correlation to brand awareness/purchase consideration.
The findings allow you to adjust your monetization strategies accordingly to charge more for placement generating attention. Being able to prove your media has a direct effect on ad impact and performance will allow you to attract high-quality advertisers. They will be willing to pay a premium for ad placements in environments where users are highly engaged.
Finally, attention metrics contribute to a better ad experience for your audience. Consumers want to avoid sites featuring intrusive or irrelevant content. Understanding the formats and placements consumers prefer to engage with creates a seamless user experience and ultimately builds trust. Performance metrics around contextual advertising have illustrated this, proving consumers will accept additional privacy-compliant intelligence when it is used to serve the most relevant content.
While it will take time for attention metrics and measurement to become standard, there is potential for an ad attention measurement currency in the future. Publishers who pay attention and start experimenting now will be ready to lead the way when that time comes.

How media brands are honoring Juneteenth this year
DCN is proud to support our members and the health of the digital media industry overall. Thus, we are pleased to share some of the incredible work our members and other media companies are doing to recognize Juneteenth and its cultural significance in the American experience.
AdAge | Black Americans say brands should celebrate Juneteenth, if done right
AP News | The story behind Juneteenth and how it became a federal holiday
Axios | Juneteenth celebrations at Austin’s Carver Museum
Axios | This week’s Embrace Ideas Festival for Juneteenth
BET | BET Bookmark: Your Juneteenth (Kids) Holiday Reading List
BET | White House Announces Star-Studded Juneteenth Concert
BET | Juneteenth: South Carolina Town Removes Juneteenth Banner Displaying White Couple
bon appétit | 15 Vibrant Recipes to Celebrate Juneteenth
BostonGlobe.com | Nineteen ways to celebrate the historical events of Juneteenth in Boston and beyond
BostonGlobe.com | The gentrification of Juneteenth
CBSNews Pittsburgh | Juneteenth youth fest takes place at Mellon Park
Digiday | Why Black creators say brands are ‘quiet as a mouse’ on Black History Month and Juneteenth this year
Insider | This simple and tasty potato salad recipe is the perfect side dish for Juneteenth cookouts
Louiville Courier Journal | What is Juneteenth? 6 things to know about America’s newest federal holiday
NBC12 | 2023 Juneteenth Events in Central Virginia
NBCNews | A family celebrates Juneteenth in Mexico — where their Black ancestors first found freedom
PBS | Lesson Plan: History of Juneteenth and why it’s now a national holiday
Pew Research Center | More than half of states will recognize Juneteenth as an official public holiday in 2023
SF Chronicle | ‘Day of liberation’: S.F.’s first Juneteenth Parade attracts hundreds
Smithsonian Magazine | Juneteenth: Our Other Independence Day
TedEd | Juneteenth youth fest takes place at Mellon Park
The National Desk | Disney series bashed for saying descendants of slaves have ‘earned’ reparations, US hasn’t ‘atoned’ for racism
The New York Times | From Martha’s Vineyard to Cleveland: Celebrating the Day Slavery Ended
The New York Times | Juneteenth: The History of a Holiday
The New York Times | 4 Recipes for a Memorable Juneteenth Celebration
The Root | Juneteenth Is Now Recognized As A State Holiday In Nevada
The Root | Juneteenth 2023: A List of Juneteenth Books for the Entire Family
The Root | Cheat Sheet: What is Juneteenth?
USA Today | ‘Grandmother of Juneteenth’ gets Texas portrait
Vox | Vox’s June Highlight Issue: Discrimination Everywhere
Washington Post | Mural artist Reginald C. Adams on commemorating Juneteenth
Washington Post | The 15 best ways to celebrate Juneteenth in the D.C. area

DCN’s must reads: week of June 15, 2023
Here are some of the best media stories our team has read so far this week:
- The Verge | EU suggests breaking up Google’s ad business in preliminary antitrust ruling (4 min read)
- Defector | Gimlet Media’s Story Was Always Going To End Like This (6 min read)
- Medium | Defining Engagement (6 min read)
- WSJ | Can Twitter’s Odd Couple Make It Work? Elon Musk and His New CEO Are About to Find Out (13 min read)
- Reuters | U.S. House united on call for Russia to release Wall Street Journal reporter (2 min read)
- The Hollywood Reporter | How Sesame Workshop and Fred Rogers Productions Keep True to Their Mission 55 Years Later (8 min read)
- New York Times | It’s Not a Good Sign When People Who Don’t Pay for News Have So Little to Choose From (10 min read)
- Reuters Institute | Digital News Report 2023 (20 min read)
DCN’s must reads: week of June 8, 2023

DCN’s must reads: week of June 8, 2023
Here are some of the best media stories our team has read so far this week:
- CNBC | A.I. poses new threats to newsrooms, and they’re taking action (8 min read)
- Toolkits | Subscription law complexity highlighted by New York Times lawsuit (3 min read)
- NBC News |Is it real or made by AI? Europe wants a label for that as it fights disinformation (3 min read)
- The New York Times | Twitter’s U.S. Ad Sales Plunge 59% as Woes Continue (7 min read)
- The Financial Times | Music markets are ‘glocalising’ — and the English-speaking world better get used to it (4 min read)
- The New York Times | Apple Is Stepping Into the Metaverse. Will Anyone Care? (7 min read)
- PressGazette | ChatGPT six months on: Insight from 12 news leaders on generative AI and journalism (20 min read)
- The Guardian | ‘Deeply personal and very authentic’: how podcasts took over the world in 20 years (15 min read)
DCN’s must reads: week of June 1, 2023

DCN’s Principles for Development and Governance of Generative AI
INTELLECTUAL PROPERTY
1) Developers and deployers of GAI must respect creators’ rights to their content. Developers and deployers of Generative Artificial Intelligence (GAI) systems—as well as legislators, regulators and other parties involved in drafting laws and policies regulating GAI—must respect the value of creators’ proprietary content.
2) Publishers are entitled to negotiate for and receive fair compensation for use of their IP. Use of original content by GAI systems for training, surfacing or synthesizing is not authorized by most publishers’ terms and conditions, or contemplated by existing agreements (for example, for search). GAI system developers and deployers should not be crawling, ingesting or using publishers’ proprietary content for these three stages without express authorization.
3) Copyright laws protect content creators from the unlicensed use of their content. Like all other uses of copyrighted works, use of copyrighted works in AI systems are subject to analysis under copyright and fair use law. Most of the use of publishers’ original content by AI systems for both training and output purposes would likely be found to go far beyond the scope of fair use as set forth in the Copyright Act and established case law. Exceptions to copyright protections for text and data mining (TDM) should be narrowly tailored to not damage content publishers or become pathways for uses that would otherwise require permission.
TRANSPARENCY
4) GAI systems should be transparent to publishers and users. Strong regulations and policies imposing proportionate transparency requirements are needed to the extent necessary for publishers to enforce their IP rights where publishers’ copyright-protected content is included in training datasets. Generative outputs that use publisher content should include clear and prominent attributions in a way that identifies to users the original sources of the output (not third-party news aggregators) and encourages users to navigate to those sources. Users should also be provided with comprehensible information about how such systems operate to make judgments about system quality and trustworthiness.
ACCOUNTABILITY
5) Deployers of GAI systems should be held accountable for system outputs. GAI systems pose risks for competition and public trust in publishers’ content. This can be compounded by GAI systems generating content that improperly attributes false information to publishers. Deployers of GAI systems should be legally responsible for the output of their systems.
FAIRNESS
6) GAI systems should not create, or risk creating, unfair market or competition outcomes. Regulators should be attuned to ensuring GAI systems are designed, trained, deployed, and used in a way that is compliant with competition laws and principles.
SAFETY
7) GAI systems should be safe and address privacy risks. Collection and use of personal data in GAI system design, training and use should be minimal, disclosed to users in an easily understandable manner and in line with Fair Information Privacy Principles (FIPPS). Systems should not reinforce biases or facilitate discrimination.

DCN’s must reads: week of June 1, 2023
Here are some of the best media stories our team has read so far this week:
- New York Post | News Corp CEO Robert Thomson warns AI could ‘fatally undermine’ journalism (3 min read)
- CJR | How the media is covering ChatGPT (10 min read)
- CNBC | Tech layoffs ravage the teams that fight online misinformation and hate speech (13 min read)
- Tookits | ‘A torrent of crap’: News publishers see trust as a differentiator as AI content proliferates (3 min read)
- Bloomberg | AI Leaders Are Calling for More Regulation of the Tech. Here’s What That May Mean in the US (4 min read)
- The Washington Post | Biden’s former tech adviser on what Washington is missing about AI (9 min read)
- Pluralistic | To save the news, ban surveillance ads (6 min read)
- Axios | Axios Finish Line: The future of media (3 min read)
- Baekdal | The impossible AI debate… (7 min read)
DCN’s must reads: week of May 25, 2023

DCN’s must reads: week of May 25, 2023
Here are some of the best media stories our team has read so far this week:
- Wired | Generative AI Podcasts Are Here. Prepare to Be Bored (9 min read)
- The Financial Times | The fall of Vice: private equity’s ill-fated bet on media’s future (14 min read)
- Vox | Do Americans really want “unbiased” news? (6 min read)
- Variety | The NFL Is Training Fans to Love Streaming (7 min read)
- The Financial Times | AI is an opportunity for creative industries, says Bertelsmann boss (3 min read)
- American Journalism Project | We asked 5,000 people across the country what they want from local news. Here’s what we learned. (12 min read)
- inews.uk | Twitter is making researchers delete data it gave them unless they pay $42,000 (4 min read)
- PressGazette | Canada news boss urges global peers to stick to their guns in battle with big tech (4 min read)
DCN’s must reads: week of May 18, 2023

How publishers can make the most of TikTok
For the past few years, TikTok has been the platform at the cutting edge of social media, with a rapidly growing, young cohort of users. It is also the place nearly 1 in 7 people in the 18 to 24 age group turn to for news.
Media companies like ABC News and the Washington Post have developed a strong following on the platform. And BBC News has seen a 2000% increase in followers in the last nine months.
Reuters Institute reports that 49% of leading news publishers worldwide now regularly post to TikTok and the number of publishers committing to the platform continues to climb. Echobox’s latest Publishing Trends Survey found that 59% of publishers believed TikTok would be more important to them this year compared to 2022 — a jump of 39% in the last year.
These developments, however, are taking place against the backdrop of growing regulatory pressure on TikTok’s parent company ByteDance. It is conceivable that the world’s fastest growing social media app could soon be banned in the U.S. Why, then, are so many news organizations choosing to invest in a platform whose future is shrouded in uncertainty?
Why invest in a platform with an uncertain future?
1. The short term gain justifies the investment
The simplest answer is that whatever happens to TikTok in the future is less important than the benefit to be gained from using the platform now. When we asked publishers which activities would be more important to them this year, 47% of respondents to our survey answered growing social followers and engagement. Publishers are going where the audiences are, with the hope that readers exposed to their content will either follow them on other social platforms or sign up for newsletters or other subscription products in the event that TikTok becomes unviable.
2. All social media is becoming like TikTok
In the long term, the continued investment in TikTok is an indication of the new realities of social media as a whole. Quite simply, TikTok has changed the game.
In the last couple of years, Facebook, Instagram, and YouTube have all sharpened their focus on TikTok, looking to ape its distinctive allure. The calculus here is that even if the platform was to be banned, the innovations that it pioneered, such as short-form vertical format video, will remain alive and well on other platforms.
Meta’s cross-platform Reels as well as YouTube Shorts have experienced impressive performance stats. Meta announced during its Q1 2023 earnings call that Reels was responsible for a 24% increase in time spent on the platform.
Investments made into acquiring the skills and technology to produce content on TikTok can therefore be put to productive use on other platforms where short-form vertical videos have been incorporated.
The results of our publisher survey reinforce this. For 47% of publishers, creating video will be more important this year than last.
The time is right
In the here and now, how can publishers take advantage of TikTok’s popularity and increase the potential virality of their content?
The most fundamental difference between TikTok and Facebook is the nature of its “recommender algorithms” that determine what content is served up to a given user. Instead of relying on who you follow to determine what content you should see, per Facebook’s model, TikTok relies purely on opaque algorithms to serve up content without a user having to follow anyone; the single imperative on TikTok is to watch.
This removes a barrier to publishers who want to increase their exposure on the platform. Not having the potential visibility of content circumscribed by follower numbers means that, theoretically, it’s easier for any publisher to produce highly-viewed, or even viral content.
Timing is everything
Achieving high performance on TikTok is all a matter of timing.
The process by which TikTok promotes content is simple: it shows content to a small sample of users in its For You feed. Then, if engagement and watch time is high, the video gets promoted to a larger group and so on. Posting video at a time in which a high number of engaged users are active means that the potential for virality is immediately increased.
Utilizing AI-powered social media management tools to optimize post timings is therefore a simple and cost-effective way to increase visibility. The fact that a publisher’s TikTok follower count has virtually no bearing on which content is promoted allows greater opportunities for AI systems to maximize the potential visibility of a video and help its performance snowball.
The future of TikTok remains uncertain, but the platform is rich in immediate benefits. With over a billion (predominantly young) users, publishers have the opportunity to meet new audiences where they are congregating. With a combination of AI smarts and a forward-looking strategy, publishers can become trusted and indispensable news sources with or without TikTok.
About the author
Ashley Kibler is the Marketing Director at Echobox, the leading solution for publishing automation used by over 2,000 publishers and media groups worldwide to automate and optimize content curation and distribution.

Take a breath. Ok, now let’s figure out AI
Generative AI has got folks in a frenzy. From excitement about everything it can do to concerns about biased algorithms, plagiarism, and potential job displacement, there’s a raft of optimism and concern around GAI.
Take a breath. Are you good? Ok, now let’s figure out AI together.
Sorry, with all the talk and emotion behind generative AI, I thought it may be a good time for everyone to catch a breather. While I understand the concerns, I happen to be a constant optimist. And as a digital media revenue leader, I’m always looking for optimal strategies at the highest level to secure the brightest future.
In that vein, even though AI in general has been around for some time, generative AI rings my “opportunity” bell – unlike many other developments in recent years. And I don’t think I’m alone. It’s not only because generative AI is the latest trending phenomenon but because it’s a resource that delivers applicable convenience spanning virtually all industries.
If you’re a curious optimist like me, you’ve noted GAI’s potential cost and time-saving implications by now. If you’re a futurist, you may have already concluded that AI will become mainstream, embedded within corporate culture, and likely governed in one way or another. It will also continue to evolve.
Yes, I’m fully aware and respectfully conscious of GAI’s prospective danger in infringing upon the authenticity, stylistics, and nature of writing, journalism, and creative arts as we know it. However, glass half full, I’m also confidently optimistic about our ability to address, structure, regulate, and develop solutions for varying segmented conventional concerns.
That said, AI’s current and developmental beta states still hold colossal potential for new applications, especially for those in leading digital media sales or revenue roles. To unfold the magnitude of what GAI could represent for the digital media industry, I took a step back to understand a broader scope of capability to illustrate how strategies may be developed and actualize its role in digital media organizations.
What it can do
If we assume that GAI is here to stay, it would be irresponsible not to consider the ways in which it will impact the revenue side of digital media. What if I told you I’ve seen GAI applications create custom sales scripts in seconds? What If I said GAI could develop cold email communication flows or custom marketing suggestions? Or that it can craft an elevator pitch or presentation about why a prospect should advertise with a specific organization?
If you can feel your chest tighten, believe me when I say I’m only scratching the surface of the impact GAI will have on the business of media. Take a breath. Are you good? Okay, let’s identify how GAI could help digital media revenue strategies by starting at the highest level and eliminating the noise.
What could it represent
A calculator doesn’t diminish the need to understand math; it enhances our ability to output more complex algorithms conveniently. Similarly, as a resource, GAI can improve the output of nearly all matters and tasks related to revenue growth for digital media. Therefore, the most straightforward digital media growth strategy in leveraging it may be to aid digital executives in making more sales.
GAI can help representatives articulate the benefits and features of products or services custom-tailored to specific businesses and industries. It can also create and send emails or assign process tasks that are traditional time and sales focus deterrents.
Once you take a step back and begin to digest the immensity and capabilities of GAI, the reactionary credulous grim outlook begins to wane. It is soon replaced by optimism around the opportunity it offers to enhance varying aspects of an organization, which clears a path for future strategies to formulate and blossom.
What AI’s role could be
Furthermore, I believe the key to leveraging AI, and generative AI specifically, for growth in digital media is custom automation in higher volumes, especially when it comes to sales. AI epitomizes the evolution of automating the proverbial “sales processes” or even replicating the techniques, communication tactics, and follow-up habits of top sales executives.
However, it is important to be conscious, balanced, and diligent so that you don’t fall into a silo of convenience alone. Keep an elevated perspective to implement AI tactics that affect and flow seamlessly throughout the entire revenue department.
The guiding north star in any AI strategy should be to deliver robust, sustainable solutions that enhance all processes and growth opportunities within an organization’s revenue sector and with advertising partners. Add value to products and services by leveraging AI to address advertisers’ specific needs at higher volumes. Don’t send recycled AI-generated communication about the organization’s history to new prospects.
Actualizing through prompting
The balance of knowing how to leverage GAI for growth or even enhancing sales communication and output is going to be important to brand value. As prevailing use cases for AI become more established and widespread, so will the need for understanding how to leverage the best prompts or the phrasing used to initiate a conversation or command with various AI technology.
If adequately equipped and informed, the impact of critical initial engaging touchpoints specific to an advertiser’s needs generated from AI may result in higher close ratios. Prompting may even become a future language or quintessential skill set to propel revenue growth within digital media. This requires the art and creativity in understanding how to position a command or question with AI versus using it to do something just because you can.
For example, the result generated by prompting an AI chatbot to create an advertising sales script for a local restaurant may seem compelling but needs to be more developed to position an organization as a solution provider. Begin with a prompt asking, “what a restaurant’s most important success metrics are” and then follow it up with a request to create a sales script based on that result. The difference should better convey the organization’s commitment to delivering a solution and not simply selling an audience.
Opportunity abounds
Generative AI is still in its early stages and is continuously adapting and evolving because it needs to. Now is the time to begin setting the stage for how digital media can configure and fine tune various applications of generative AI, particularly within the revenue vertical, to support advertising partners, organizations, and communities.
Certainly, AI is not without its flaws. And, much like the evolution of the internet and search engines, mass adoption will take time. The very existence of AI represents and embodies human creativity and ingenuity, and the optimist in me tends to applaud its boldness and innovation. If you’re concerned, you’re not alone, as I firmly believe in thorough risk assessment and evaluations. However, if fear of the unknown is causing hesitancy about AI, then take a breath, and know that we’re all going to figure this out together.
About the author
Richard E. Brown is a News/Media Alliance Rising Star recipient, the former director of renewals and digital sales strategy at LPi, and the former director of digital operations and sales of the Milwaukee Journal Sentinel. He recently served as the head of digital subscriber churn for Gannett | USA TODAY NETWORK and is now the senior director of retention for The Daily Beast. He is also a member of the board of directors for the Wisconsin Newspaper Association Foundation.

DCN’s must reads: week of May 18, 2023
Here are some of the best media stories our team has read so far this week:
- Columbia Journalism Review | Journalism’s Essential Value (62 minutes)
- Digiday | Twitter’s appointment of Linda Yaccarino as CEO signals the social network’s desire to win back brands (4 minute read)
- Harvard Business Review | AI Can Be Both Accurate and Transparent (8 minute read)
- MediaPost | TV Advertising Ups And Downs: Linear Sinks 8%, CTV Rises 21% (1 minute read)
- PressGazette | BBC unveils Verify team of 60 journalists it says will be ‘transparency in action’ (4 minute read)
- The New York Times | Vice, Decayed Digital Colossus, Files for Bankruptcy (7 minute read)
- The Wall Street Journal | Automotive Tech Billionaire Austin Russell to Acquire Majority Stake in Forbes (2 minute read)
- The Washington Post | Elon Musk’s about-face on government censorship (4 minute read)
- Variety | Behind Warner Bros. Discovery’s Secret Audience-Shifting Strategy: Schedule Switches and Simulcasts (3 minute read)