Verification Before—and After—Generation: Why AI Answers Still Need to Be Checked
By Cheval John | Vallano Media
This article was created with the assistance of artificial intelligence.
The final version was reviewed, edited and fact-checked by the author
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
Once the research foundation was in place, artificial intelligence became much more useful.
It could compare sources, organize timelines, identify patterns across documents and suggest explanations for why different accounts appeared to conflict.
But that created a different problem: What happens when the AI gives an answer that sounds right?
An obviously poor answer is relatively easy to catch.
A polished answer is harder.
If an AI system produces a clear explanation, uses professional language and connects events in a logical sequence, there is a natural temptation to accept the result and move forward.
But coherence is not confirmation.
For Vallano Media, that led to another rule: Generation did not end the research process.
It triggered another verification process.
A Confident Answer Is Still Just an Answer
Generative AI can produce language that sounds remarkably certain.
That can be useful.
It can also create risk.
A response may contain accurate information, incomplete information, outdated information, unsupported connections or several of those at once.
Those categories are not always obvious from the writing itself.
There is no automatic warning attached to the sentence that happens to be wrong.
That changes how AI-generated material has to be read.
The question cannot simply be: Does this explanation make sense?
The better question is: What evidence would allow us to publish this explanation?
During the FIFA reporting process, useful AI responses were treated as working material rather than finished conclusions.
An answer could suggest a direction.
It could produce a hypothesis.
It could identify something worth investigating.
But before an AI-generated explanation influenced published copy, its important factual claims still had to be traced back to evidence.
Verification Happens at the Claim Level
An AI-generated paragraph can contain several different claims at once.
Imagine a response saying that one organization introduced a proposal, another group opposed it, that opposition caused the proposal to stall, and the controversy demonstrated a larger governance problem.
That may read like one coherent explanation.
It is actually several claims.
Did the organization introduce the proposal?
Did the other group oppose it?
Did that opposition actually cause the proposal to stall?
And is the governance conclusion an established fact or an interpretation?
Each deserves a level of scrutiny appropriate to the claim.
Routine background information may be relatively straightforward to confirm.
Consequential, disputed, causal or unusual claims generally require greater attention.
The first two claims in the example may be factual questions.
The causal claim is more demanding.
The final conclusion may be legitimate analysis, but it should still be presented as analysis rather than established fact.
This is why verification increasingly had to happen at the claim level.
A paragraph can be mostly accurate and still contain one sentence that changes the meaning of the entire story.
That sentence matters.
Sequence Does Not Automatically Mean Cause
Chronology can create another trap.
Event A happens.
Then Event B.
Then Event C.
It is easy to turn that sequence into a story in which A caused B and B caused C.
Sometimes that interpretation is supported.
Sometimes the events simply occurred in that order.
Journalism has to distinguish chronology from causation.
That means asking: Is there evidence that one development actually caused the next?
Did a participant say that it did?
Did independent reporting establish the relationship?
Or are we connecting the events because the sequence looks persuasive?
AI can be useful for turning complicated timelines into understandable narratives.
But that usefulness requires caution.
A compelling narrative becomes a problem when it adds certainty the evidence does not support.
Words such as because, caused, forced, prompted, resulted in and led to therefore deserve extra scrutiny.
A single verb can turn analysis into an unsupported factual claim.
Asking AI to Challenge Its Own Answer
One of the more useful changes in the workflow came when AI stopped being used only to produce answers.
It also began being prompted to challenge them.
After an explanation was generated, the next questions could include: What is weak about this conclusion?
Which claims are not fully supported?
What assumptions are being made?
What alternative explanation fits the same evidence?
Where might the analysis be confusing sequence with causation?
What would a skeptical editor challenge?
What evidence would weaken or disprove this interpretation?
This changed the role of AI.
Instead of functioning only as a generator, it could become part of an adversarial review process.
That did not turn AI into an independent fact-checker.
An AI critique still requires verification and should not be treated as independent evidence.
Its value was in surfacing questions, weaknesses and assumptions that could then be investigated against the evidence.
That introduced useful friction before publication.
And in journalism, friction can be valuable.
The fastest route from prompt to publication is not necessarily the safest one.
The First Answer Was Never Sacred
Another useful habit was refusing to treat the first AI response as authoritative.
The first answer could still be useful.
Sometimes its greatest value was showing how the system was framing the story.
That framing could then be examined.
Was it relying too heavily on one source?
Was it smoothing over uncertainty?
Was it turning a possible explanation into a definite one?
Was it giving too much weight to the most dramatic interpretation?
Was it leaving out an important stakeholder?
Was it treating secondary reporting as though it were primary evidence?
Those questions could produce a better second answer.
Then that answer could be challenged again.
This is not the same as repeatedly prompting AI until it gives the journalist the answer they already wanted.
That would simply automate confirmation bias.
The objective was the opposite: Make the conclusion harder to defend unless the evidence actually supports it.
Verification Sometimes Sends the Reporting Backward
Verification does not always move a story closer to publication.
Sometimes it sends the reporting backward.
An AI-generated claim might expose the need for another source.
A timeline comparison might reveal a date discrepancy.
A causal explanation might fall apart once the underlying reporting is examined.
A quote might need to be traced back to its original context.
In those situations, the next step is not better wording.
It is more reporting.
The process can therefore look less like: Research → AI → Draft → Publish
and more like: Research → AI analysis → verification → additional research → revised analysis → draft → verification again.
That loop may repeat several times.
From a pure speed perspective, that can look inefficient.
From a journalism perspective, that is the safeguard.
AI is useful not only when it helps finish the work faster, but also when it exposes where the work is not finished.
Verification Also Means Looking for What Is Missing
Errors are not limited to false statements.
Omissions can distort a story too.
An AI summary might accurately describe five important facts while leaving out a sixth fact that changes how the first five should be understood.
That means verification has to ask two questions: Is what I am seeing correct?
and: What am I not seeing?
This becomes particularly important in stories involving multiple organizations, competing interests or conflicting accounts.
A response may be technically accurate but still incomplete.
Which perspectives are represented?
Which are absent?
Does one side receive more explanation than another?
Did the summary emphasize conflict while overlooking agreement?
Did it omit a development that complicates the central narrative?
Those are editorial questions.
AI can help surface them.
It cannot resolve them automatically.
Video Courtesy of CrashCourse YouTube Channel
Red-Team Review Became Part of the Workflow
Over time, this adversarial questioning became more systematic.
Vallano Media began using what could be described as an editorial red-team review: deliberately challenging an argument, analysis or draft in an attempt to expose weaknesses before publication.
This is different from formal AI-security or cybersecurity red teaming.
The purpose here was editorial.
The review could look for unsupported factual claims, causal overreach, missing context, weak sourcing, contradictions, wording stronger than the evidence justified and assumptions disguised as conclusions.
The important shift was simple: Do not ask only how to strengthen an argument.
Ask how the argument could fail.
Generative AI naturally encourages forward momentum: Generate → refine → polish → publish.
Red-teaming interrupts that momentum.
It creates a deliberate stage where the objective changes from building the article to trying to break it.
If the argument survives that challenge and the underlying evidence continues to support it, confidence increases.
If it does not, the weakness has been discovered before publication rather than afterward.
Asking AI to Verify Itself Is Not Enough
There is an important distinction between verification and simply asking an AI system: Are you sure?
The system may reconsider its answer.
It may also confidently repeat the same mistake.
Real verification requires returning to evidence outside the generated response.
That may mean opening the original document.
Reading the full article rather than relying on a summary.
Checking the publication date.
Comparing independent reports.
Locating the original quote.
Reviewing the official statement.
Or acknowledging that confirmation is unavailable.
AI can help guide those steps.
It cannot substitute for them.
So the important question is not: Did AI verify the answer?
It is: What evidence ultimately verified the claim?
The Journalist Has to Be Willing to Reject the Output
Perhaps the most important verification skill is also the simplest.
The journalist has to be willing to say: No.
No, that conclusion is too strong.
No, the evidence does not establish causation.
No, that source is not sufficient.
No, those events should not be combined.
No, the answer is plausible but unverified.
No, that does not belong in the article.
This is where subject knowledge, skepticism and editorial judgment become essential.
AI can make suggestions quickly.
The professional decides which suggestions survive.
The goal is not to become better at accepting AI output.
It is to become better at determining which output deserves to survive the editorial process.
Verify Before and After Generation
The title of this chapter contains an important tension.
Verification should happen before generation because AI analysis is only as strong as the evidence being supplied.
But verification also has to happen after generation, because the system can introduce new assumptions, errors or interpretations while processing that evidence.
The workflow therefore becomes: Verify the inputs → generate the analysis → verify the output.
Then repeat whenever necessary.
That cycle became one of the clearest lessons from Vallano Media’s FIFA reporting process.
AI did not reduce the importance of verification.
It created another place where verification had to occur.
What Comes Next
Once the research foundation had been established and AI-generated conclusions had been tested, the next question became much more practical: What was AI actually useful for?
Not theoretically.
Not as a list of possible applications.
But inside the reporting project itself.
Where did it save time?
Where did it help organize information?
Where did it expose weaknesses?
And where did human judgment still have to take over?
Next week, chapter 4 will examine how AI actually assisted the reporting process — and where its role stopped.
Sam Houston Completes Delaware Sweep as Butler, Monson Lead Efficient Offensive Performance
By Cheval John | Vallano Media
This article was created with the assistance of artificial intelligence.
The final version was reviewed, edited and fact-checked by the author
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
One day after celebrating Brenda Gray‘s 800th career coaching victory, Sam Houston’s women’s volleyball team returned to Bernard G. Johnson Coliseum in Huntsville, Texas, on Saturday and delivered another victory over Delaware.
The Bearkats defeated the Blue Hens 3-1 (25-18, 25-22, 20-25, 25-17), completing a two-match Conference USA series sweep.
Unlike Friday’s five-set contest, Saturday’s match featured a more efficient Sam Houston offense that produced 57 kills and a .294 hitting percentage.
Chloe Monson led the Bearkats with 15 kills, while Chelsea Butler contributed 11 kills and seven blocks.
Faith Roulston added 10 kills without an attack error.
The victory improved Sam Houston’s record to 14-7 overall and 5-3 in Conference USA, providing another encouraging result for a program seeking greater consistency in its fourth season in the league.
A Strong Start and a Critical Second Set
Sam Houston opened the match with a 25-18 first-set victory, establishing an early advantage against a Delaware team that had pushed the Bearkats to five sets the previous evening.
The second set proved more competitive.
Delaware stayed within striking distance, and the teams were tied at 22 before Sam Houston scored three consecutive points to secure a 25-22 victory.
That late scoring run gave the Bearkats a 2-0 advantage and placed them one set away from completing the match.
However, Delaware demonstrated the same persistence that had extended Friday’s contest into a deciding fifth set.
The Blue Hens responded with a 25-20 victory in the third, using effective serving to create problems for Sam Houston.
Rather than allowing Delaware to force another deciding set, Sam Houston responded in the fourth.
The Bearkats established a 15-9 advantage midway through the set, with their blocking contributing to the momentum.
Sam Houston maintained control and finished with a 25-17 victory, producing 19 kills and hitting .333 in the final set.
Offensive Efficiency Makes the Difference
Perhaps the most significant development in Saturday’s match was the improvement in Sam Houston’s attacking efficiency.
The Bearkats finished with 57 kills and 17 attack errors on 136 attempts, producing a .294 hitting percentage.
Delaware recorded 45 kills and 26 attack errors on 139 attempts, finishing at .137.
Those numbers represented a notable improvement from Friday, when Sam Houston hit .154 and needed five sets to secure Gray’s milestone victory.
The Bearkats also maintained an advantage at the net, recording 10 team blocks compared with Delaware’s 8.5.
Monson provided the leading offensive contribution with 15 kills, while Roulston delivered one of the team’s most efficient individual performances.
Roulston recorded 10 kills without an attack error on 16 attempts, finishing with a .625 hitting percentage.
Rachelle Reed added eight kills while hitting .500.
The performances reflected a balanced Sam Houston offense capable of generating production from multiple attackers.
Huntsville Native Delivers
Chelsea Butler, a former Huntsville High School standout, played an important role in both victories over Delaware.
During Friday’s five-set match that gave Gray her 800th career win, Butler delivered the go-ahead kill with the deciding set tied 14-14.
On the following rally, she combined with Annika Brooks on a block that forced a Delaware attacking error, securing the historic victory.
Butler followed that performance Saturday with 11 kills and seven blocks, including two solo blocks and five assisted blocks.
She also delivered the match-winning kill in the fourth set, with Brenlin Garlitz providing the assist.
Across the two matches, Butler finished with 20 kills and 14 individually credited blocks.
Her contributions helped Sam Houston complete a weekend in which the Bearkats prevailed in two competitive Conference USA matches.
Another Milestone for Sam Houston
Saturday’s victory also featured a significant individual achievement for Shaelin White.
White entered the match with 985 career digs and reached the 1,000-dig milestone during the contest.
She finished with a team-high 22 digs and five assists, bringing her career total to 1,007.
The milestone highlighted another contributor to Sam Houston’s defensive performance during its two-match sweep.
While Gray’s 800th coaching victory received much of the attention Friday, White’s achievement provided another significant moment for the program Saturday.
Overcoming Delaware’s Serving Advantage
Although Sam Houston won both matches, Delaware maintained a substantial advantage from the service line throughout the series.
The Blue Hens recorded 12 service aces Friday and seven Saturday, finishing the weekend with 19.
Sam Houston managed three aces in each match, totaling six.
That 19-6 difference illustrates the serving pressure Delaware placed on the Bearkats.
The Blue Hens were particularly effective at disrupting Sam Houston’s serve reception during portions of Saturday’s match.
However, the Bearkats compensated through more productive attacking and blocking.
Across the two matches, Sam Houston recorded 26 team blocks compared with Delaware’s 17.5.
The Bearkats also improved their attacking efficiency dramatically in Saturday’s rematch.
The results provide both encouragement and an area for continued improvement.
Sam Houston’s offense and blocking helped deliver two victories, but handling opponents’ serving pressure remains an important consideration as Conference USA play continues.
Signs of Progress in Conference USA
Beyond the immediate results, the Delaware series offers another opportunity to evaluate Sam Houston’s development since joining Conference USA in 2023.
The transition has not been easy.
In its inaugural CUSA season, Sam Houston finished 1-15 in conference play.
The Bearkats improved to 8-10 in 2024 before experiencing another difficult campaign in 2025, finishing 3-13.
Saturday’s victory moved Sam Houston to 5-3 in conference play in 2026, surpassing its conference victory total from the entire previous season.
Although the remaining schedule will determine how much progress the program ultimately makes, the improved record offers evidence of a more competitive team.
The Bearkats have also demonstrated the ability to recover from difficult results.
After losing two matches at Missouri State the previous weekend, including a 17-15 defeat in a deciding fifth set, Sam Houston returned home and won both contests against Delaware.
Those results represent an important response for a program attempting to establish greater consistency in Conference USA.
Gray has experienced similar challenges throughout her coaching career, including Sam Houston’s earlier transitions between conferences and NCAA divisions.
The current rebuilding effort is another chapter in that history.
Building Beyond the Milestone
Friday’s victory was significant because it gave Gray her 800th career win in her 43rd season leading Sam Houston.
Saturday’s result, however, provided a reminder that the program’s immediate competitive goals extend beyond an individual coaching milestone.
The Bearkats demonstrated better attacking efficiency, maintained their blocking advantage and completed a Conference USA series sweep.
For players such as Monson, Butler, Roulston and White, the weekend also provided an opportunity to contribute to both a historic coaching achievement and the team’s continued development.
Sam Houston returns to the road next weekend for a two-match Conference USA series against Liberty in Lynchburg, Virginia, with both contests scheduled to stream on ESPN+.
The Bearkats still have work to do as the conference season progresses.
But the Delaware series gave them two victories, an improved conference record and evidence that the program is capable of responding after difficult losses.
Friday celebrated Brenda Gray’s coaching history.
Saturday offered a glimpse of what her current team is building.
Brenda Gray Reaches 800 Career Victories as Sam Houston Defeats Delaware in Five Sets
By Cheval John | Vallano Media
This article was created with the assistance of artificial intelligence.
The final version was reviewed, edited and fact-checked by the author
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
Six days after watching her Sam Houston volleyball team lose a heartbreaking five-set match at Missouri State, Brenda Gray experienced a much different ending Friday night at Bernard G. Johnson Coliseum in Huntsville, Texas.
The Bearkats defeated Delaware 3-2, winning the deciding fifth set 16-14 and giving Gray her 800th career coaching victory.
The milestone came in her 43rd season leading the program, adding another achievement to one of the longest coaching careers in NCAA Division I women’s volleyball.
Sam Houston dropped the opening set 25-19 before responding with consecutive 25-16 and 25-14 victories.
Delaware forced a deciding set with a 25-18 win in the fourth, but the Bearkats prevailed in the fifth to secure the milestone.
Sam Houston finished with 49 kills compared with Delaware’s 48.
The Bearkats held a commanding 16-9 advantage in blocks and outhit the Blue Hens .154 to .065.
Delaware maintained a substantial advantage from the service line, recording 12 aces compared with three for Sam Houston.
Chloe Monson contributed 10 kills and 12 digs for the Bearkats, recording a double-double.
Chelsea Butler added nine kills with just one attacking error in 21 attempts, finishing with a .381 hitting percentage and seven blocks.
Faith Roulston recorded eight block assists.
The result improved Sam Houston’s overall record to 13-7 and its Conference USA mark to 4-3.
For Gray, the 800th victory represented another chapter in a coaching career that began more than four decades ago, when the Bearkats competed at the NCAA Division II level.
But her accomplishments extend far beyond the number of victories beside her name.
A Journey That Began in 1984
Gray’s association with Sam Houston began before her coaching career.
After transferring from Lee College, she competed for the Bearkats before graduating in 1982.
She subsequently served as a graduate assistant under head coach Rebecca Bilsing before spending a year at Bastrop High School coaching volleyball, basketball and track.
In 1984, Bilsing asked Gray to return to Sam Houston and temporarily lead the volleyball program.
Gray accepted the opportunity, beginning a coaching journey that would eventually span more than four decades.
In her first season, Sam Houston finished 47-8 and advanced to the NCAA Division II Final Four.
The Bearkats followed that performance with a 45-8 record and another Division II Final Four appearance in 1985.
Gray was named the program’s permanent head coach in 1985, establishing the foundation for a career that would extend across multiple eras of college athletics.
Building a Program Through Change
One of the most remarkable aspects of Gray’s career is how closely it has followed the evolution of Sam Houston athletics.
When Gray began coaching in 1984, the Bearkats were a Division II program competing in the Gulf Star Conference.
The volleyball program moved into Division I competition in 1986 before Sam Houston joined the Southland Conference in 1987.
That transition introduced new competitive challenges, but Gray continued developing successful teams.
In 1993, Sam Houston captured both the Southland Conference regular-season and tournament championships, earning a berth in the NCAA Division I Volleyball Tournament.
The Bearkats returned to the national tournament in 1996 after winning another Southland tournament championship.
Sam Houston also captured the Southland regular-season championship in 2012.
Gray received Southland Conference Coach of the Year honors in 1987, 1993 and 2012.
She also earned Gulf Star Conference Coach of the Year recognition in 1984.
Those achievements occurred across different generations of athletes and changing competitive environments.
The program underwent another transition in 2021 when Sam Houston joined the Western Athletic Conference.
The Bearkats captured the WAC Southwest Division championship during their first season in the league.
Two years later, Sam Houston joined Conference USA, presenting Gray and her program with another set of challenges.
Throughout those transitions, the volleyball program experienced championship seasons, rebuilding periods and changes in the competitive landscape.
Gray remained its head coach through all of them.
Longevity in a Changing College Sports Landscape
College athletics has changed considerably since Gray began coaching.
Conference realignment has altered traditional rivalries and travel schedules.
The transfer portal and name, image and likeness opportunities have changed how coaches approach recruiting, player development and roster management.
Gray has experienced those developments while remaining at the same university.
In a June 2024 interview published by Sam Houston, Gray discussed the challenges of maintaining her coaching philosophy while adapting to the evolving demands of college volleyball.
Her experience highlights an important distinction between longevity and remaining unchanged.
Coaching at the same institution for more than four decades requires adjusting to new athletes, competitive expectations and institutional circumstances.
Sam Houston identifies Gray as the longest-tenured active head coach in NCAA Division I women’s volleyball.
That distinction is supported by historical comparisons.
In November 2023, VolleyballMag identified Gray and Miami (Ohio) coach Carolyn Condit as the two longest-tenured coaches at a single Division I institution.
Condit retired following the 2023 season.
Gray’s tenure also requires an important historical distinction.
Her first two seasons at Sam Houston came while the volleyball program competed in Division II.
The Bearkats recorded 92 victories during those two seasons before moving into Division I competition in 1986.
Consequently, her 800 career victories reflect her combined coaching record across both divisions.
Regardless of how coaching tenure is compared nationally, Gray’s continued presence at Sam Houston represents an exceptional period of institutional continuity.
A Legacy Beyond the Victory Column
Although 800 victories represent a significant statistical achievement, Gray’s influence extends beyond championship banners and coaching records.
In 2023, more than 80 former Sam Houston volleyball players surprised Gray during a celebration recognizing her four decades leading the program.
Speaking with Sam Houston in an interview published the following year, Gray described her former players as her second family.
Those relationships illustrate another dimension of collegiate coaching.
Players eventually graduate and begin careers beyond athletics, but the relationships established during their college years can continue long after their final matches.
Gray has witnessed generations of athletes enter and leave the Sam Houston program.
Her continued involvement with former players demonstrates how a coach’s influence can extend beyond immediate competitive results.
That perspective is particularly relevant when evaluating a career as lengthy as Gray’s.
Championships and victories provide measurable accomplishments, but they cannot fully capture the relationships and institutional connections developed across decades.
The Next Chapter
Following Friday’s five-set victory over Delaware, Sam Houston returns to Bernard G. Johnson Coliseum today for the second match of the Conference USA series.
First serve is scheduled for noon Central, with the contest streaming live on ESPN+.
For Gray, the next match begins with a new milestone already secured.
Her career has included two NCAA Division II Final Four appearances, two NCAA Division I Tournament appearances, conference championships and individual coaching honors.
She has witnessed Sam Houston’s transition from Division II to Division I and its progression through the Southland Conference, Western Athletic Conference and Conference USA.
Throughout those changes, she has remained a connection between the program’s past and present.
Friday’s victory adds another achievement to that history.
Eight hundred victories tell one part of Brenda Gray’s story.
Forty-three seasons at Sam Houston explain why that achievement means so much more.
The Game Is Everywhere: Who Is Left to Cover It?
By Cheval John | Vallano Media
This article was created with the assistance of artificial intelligence.
The final version was reviewed, edited and fact-checked by the author
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
High school and small-college sports are easier to watch, track and discuss than they were a generation ago.
But as traditional newsrooms continue cutting sports staffs, more content does not necessarily mean more independent journalism.
On a Friday night, the stadium can still be full.
Parents check scores on their phones.
Players post highlights before leaving the parking lot.
Coaches communicate directly with their communities.
Fans who cannot attend may be able to stream the game from home.
The underlying activity has not disappeared.
High school sports recorded 8,415,684 participation entries during the 2025-26 school year, another all-time high and an increase of 149,440 from the previous year.
The National Federation of State High School Associations compiles those figures through its member state associations, making the total a broad measure of participation across American high school athletics.
There are also more ways to follow those athletes than previous generations had.
Scores update quickly. Highlights circulate across social platforms.
Schools can produce broadcasts themselves.
Streaming has made thousands of games available beyond the communities where they are played.
The games are increasingly visible.
Yet another part of the local sports ecosystem is shrinking.
The independent reporter in the press box.
The games remain. Many of the jobs do not.
The change became particularly visible again this fall.
On Oct. 1, multiple USA TODAY Co. sports staffers publicly announced that their positions had been eliminated.
Akeem Glaspie had been covering Butler basketball.
Michael Chavez said the company eliminated his position covering Mississippi high school sports.
Sherlon Christie, a senior trending editor, announced his departure after 22 years with the company.
The full scope of the cuts was not immediately clear.
Only weeks earlier, McClatchy eliminated a majority of the positions in the Lexington Herald-Leader newsroom.
The cuts included three sports reporters, according to Kentucky Public Radio.
Those departures matter for reasons that extend beyond the number of jobs lost.
For generations, the local sports reporter was part of the infrastructure surrounding a community’s teams.
The reporter knew the schools.
The coaches.
The administrators.
The rivalries.
The history behind why one game mattered more than another.
Over years, that person might watch an athlete become a coach, an assistant become a head coach or a struggling program become a contender.
That kind of institutional knowledge is difficult to replace with a scoreboard.
This is bigger than the sports department
What is happening in press boxes reflects a much larger transformation in local journalism.
Nearly 40 percent of local U.S. newspapers have disappeared since 2005, according to Northwestern University’s Medill Local News Initiative.
More than 270,000 newspaper jobs have been lost over that period, a decline of more than 75 percent.
Across journalism occupations more broadly, employment fell a little more than 7 percent from 2023 to 2024.
Digital publishing has not simply recreated the economics that supported those newsrooms.
Medill examined web traffic at 100 of the country’s largest newspaper sites and found that their average monthly pageviews declined by more than 45 percent over four years.
Only 11 of the 100 recorded growth during that period.
At the same time, local journalism itself has not disappeared.
In 2005, newspapers employed 71 percent of U.S. reporters.
By 2024, that share had fallen to 29 percent, while digital media and broadcast reporting each accounted for roughly a quarter of journalism employment.
That distinction matters.
The story is not simply that journalism is disappearing.
Where journalism happens is changing.
More content is not the same thing as more journalism
That becomes particularly important in sports.
A high school can livestream its football game.
That is useful.
A university can produce an ESPN+ broadcast.
That is useful too.
A coach can post highlights.
A parent can upload video.
A recruiting service can track prospects.
An independent creator can operate a podcast, newsletter or YouTube channel.
A school can distribute its own interviews, statistics and behind-the-scenes content.
Each can add something valuable to the sports-media ecosystem.
But they do not necessarily perform the same function.
A team’s social account represents the team.
An athletic department’s media operation represents the institution.
A recruiting service serves a particular audience.
A streaming platform primarily distributes the competition.
Independent journalism serves another purpose.
Someone still needs to ask why a decision was made.
Someone needs to provide context when something changes.
Someone needs to verify conflicting accounts rather than merely repeat them.
Someone needs to cover athletes, coaches and institutions as more than statistics, recruiting rankings or highlight clips.
And sometimes the most important story has little to do with the final score.
Streaming solved one problem while exposing another
Small-college sports provides one of the clearest examples of the tension.
Technology solved much of the old distribution problem.
Sam Houston offers a useful case study.
In 2008, Jason Barfield was leading the operation that became Bearkat Sports Network, which was streaming more than 60 Sam Houston sporting events annually.
In 2016, he began transitioning live-event production toward ESPN.
The operation continued to grow.
By 2024, Sam Houston said Bearkat Sports Network was responsible for nearly 80 ESPN+ productions each year, along with more than 50 live audio productions, press conferences, podcasts and studio programming.
That is genuine progress.
A game produced in Huntsville, Texas, no longer has to remain primarily a Huntsville experience.
But Bearkat Sports Network and ESPN serve different purposes from The Huntsville Item or an independent journalist covering Sam Houston.
One can show the game.
Another may need to report independently on the institution, its decisions and the people around the program.
Those roles can coexist.
Ideally, they should.
The danger comes when growth in the first category creates the impression that the second is no longer necessary.
Video Courtesy of ESPN College Football YouTube Channel
The patchwork is replacing the old model
The future of local sports media is unlikely to belong to one type of organization.
Traditional newspapers remain part of it.
So do television and radio.
But coverage increasingly can come from independent digital publications, newsletters, podcasts, YouTube channels, photographers, school broadcasts, university media operations and individual creators.
There are advantages to that fragmentation.
A reporter who loses a newspaper position no longer needs another newspaper to grant permission to keep reporting.
A broadcaster can create a podcast.
A photographer can build a direct relationship with an audience.
A journalist with deep knowledge of one conference, school or region can build a specialized publication around an audience that a larger outlet considers too small.
The barriers to publishing have fallen dramatically.
The cost of sustained original reporting has not fallen nearly as far.
Travel costs money.
Covering teams every week takes time.
Building sources can take years.
Public-records work requires patience and expertise.
Attending games, practices, press conferences, school-board meetings and community events requires somebody to show up.
Someone still has to fund that work.
That is the unresolved problem.
AI makes the distinction even sharper
Artificial intelligence adds another layer to the economic challenge.
Routine sports information is particularly easy to summarize: Scores. Schedules. Standings. Statistics.
Basic game results.
A reader increasingly may be able to obtain those answers without visiting the publication that originally gathered or organized the information.
Medill identified the integration of generative AI into search engines as an additional challenge for publishers, noting that users can increasingly encounter summarized information before reaching the underlying source.
The decline of local journalism began long before generative AI, so AI should not be treated as the cause of that decades-long contraction.
It is another pressure on an already disrupted business model.
That makes commodity information harder to build a business around.
But it may make another category of journalism more valuable: information that does not exist until someone reports it.
AI can summarize a press conference once a recording, transcript or report exists.
It can search documents, compare information and identify patterns.
It can help journalists organize research, test claims and work more efficiently.
But it does not eliminate the need for the sourcing and firsthand reporting that put new information into the record.
Local knowledge that has never entered that record still has to be sourced, verified and reported.
The easier existing information becomes to summarize and redistribute, the more valuable original sourcing, verification and local context can become.
That creates an opportunity, too
The decline of the old model does not necessarily mean the end of local sports journalism.
It may mean its business structure has to change.
Independent publishers could become part of the answer.
So could memberships.
Subscriptions.
Sponsorships.
Nonprofit newsrooms.
Local radio partnerships.
Newsletters.
Podcasts.
Specialized digital publications.
No single model is guaranteed to replace what newspapers once supported.
But the migration of journalism employment beyond newspapers demonstrates that the profession itself is already adapting.
Broadcast and digital media now employ substantial shares of U.S. journalists even as newspaper employment continues to contract.
The challenge is ensuring that the new structure can financially support enough people to do original reporting consistently.
There is still something to cover
The audience has not vanished.
More than 8.4 million high school sports participation entries were recorded during the 2025-26 school year.
Thousands of schools stream events.
College programs outside the largest conferences can place games on national digital platforms.
Athletes can communicate directly with fans.
Communities can follow teams from almost anywhere.
Technology has made the competition dramatically easier to see.
That is worth celebrating.
But visibility alone does not create journalism.
A community can have livestreams, highlights, statistics, podcasts and hundreds of social-media posts about its teams while still losing something important if nobody is being paid to independently follow those teams week after week.
The future therefore presents two different questions.
The first has largely been answered: How do we make the games easier to see?
Technology solved much of that problem.
The harder question remains: Who is going to keep showing up to report what happens around them?
Because the game can be everywhere.
That does not automatically mean the journalism will be.
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
From Hobby to Headline: How Niche Live Streamers Helped Redefine Live Media
By Cheval John | Vallano Media
This article was created with the assistance of artificial intelligence.
The final version was reviewed, edited and fact-checked by the author
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
For generations, major television networks controlled much of the live media experience.
They decided which events received coverage, when programs aired, and how audiences consumed them.
But outside traditional broadcasting, another media ecosystem was developing.
Gamers streamed from their bedrooms.
Independent producers experimented with live video.
Schools and local sports organizations discovered new ways to reach audiences that television rarely served.
These broadcasters often lacked expensive equipment, major sponsorships, and established distribution networks.
What they possessed was a direct relationship with viewers who cared about their content.
Their experiments helped demonstrate an important change in audience behavior: people were willing to watch specialized programming online, participate in live conversations, and follow events that traditional television considered too small to broadcast.
Major media organizations did not simply copy these creators.
Their investments in streaming also reflected improvements in technology, changing economics, and growing demand for digital access.
Nevertheless, niche creators and smaller broadcasters helped reveal something increasingly valuable: an audience did not need to be enormous to deserve attention.
The Streaming Revolution Began With Experimentation
One of the early pioneers of online live broadcasting was Justin.tv, which launched in 2007.
Initially built around broadcasting co-founder Justin Kan’s daily life, the platform eventually opened to other users, allowing people to stream their own activities online.
Gaming emerged as an especially popular category.
In June 2011, Twitch launched as a dedicated platform for gaming livestreams, building upon Justin.tv’s earlier experiments.
Its growth provided measurable evidence that interactive live video could attract substantial audiences.
According to Twitch’s March 2013 announcement, more than 600,000 unique broadcasters attracted over 28 million unique viewers during February 2013.
The company also reported that those viewers watched an average of more than 90 minutes of video per day.
These were company-reported figures, but they illustrated the scale that an emerging live-streaming community had achieved.
The significance extended beyond gaming.
Twitch demonstrated that audiences were interested in content built around participation.
Viewers could communicate with streamers, react to events, and interact with other members of the community while broadcasts unfolded.
Unlike conventional television, the relationship was not exclusively one-directional.
The audience became part of the experience.
How Niche Creators Tested New Media Ideas
Independent creators possessed an advantage that larger media organizations sometimes struggled to replicate: flexibility.
A creator could experiment with a different broadcast format, introduce a live discussion, or change programming based on audience feedback without navigating a large corporate structure.
That flexibility encouraged experimentation with live conversations, extended broadcasts, community participation, and behind-the-scenes programming.
Not every experiment succeeded.
Nor did every creator build a sustainable business.
But collectively, these activities helped demonstrate that specialized interests could support meaningful online communities.
A gaming enthusiast might spend hours watching someone else play.
A hobbyist could follow a live demonstration.
A viewer interested in a particular subject could interact directly with a knowledgeable creator.
These audiences were not necessarily looking for programming designed to attract millions of people.
They wanted content relevant to their interests.
For media companies, that distinction would become increasingly important.
However, niche creators were only one part of streaming’s development.
Faster broadband connections, smartphones, connected televisions, improved video delivery systems, and changing consumer expectations also contributed to its expansion.
The growth of live streaming was therefore not a simple story of independent creators forcing television networks to change.
It was a broader transformation in which smaller broadcasters helped demonstrate new possibilities while technology and economics made those possibilities increasingly practical.
Local Sports Streaming Revealed an Overlooked Opportunity
While gaming helped popularize interactive livestreaming, local sports broadcasting revealed another opportunity.
For decades, many sporting events attracted passionate supporters without receiving consistent television coverage.
High school football games, volleyball matches, youth tournaments, and smaller college competitions often had audiences interested in watching but limited opportunities for traditional distribution.
Streaming offered another option.
Schools and independent producers could reach families, alumni, and supporters beyond their immediate communities.
One of the clearest examples was the NFHS Network.
Launched in 2013, the network developed a national platform for live and on-demand coverage of high school sports and other school activities.
According to a September 2019 report from the National Federation of State High School Associations, nearly 230,000 events had been broadcast through the network since its launch.
The report also documented more than 100,000 events during the preceding year, including approximately 20,000 nontraditional activities such as graduations, concerts, and theatrical performances.
Those figures demonstrated that digital broadcasting could extend well beyond the sporting events most likely to attract conventional television coverage.
The network also created educational opportunities.
Through its School Broadcast Program, students participated as commentators, camera operators, and producers under the guidance of school advisers.
The significance was not simply that more games became available.
Streaming expanded the definition of which events could receive coverage and who could participate in producing it.
A parent traveling for work could follow a child’s game.
An alumnus living hundreds of miles away could reconnect with a former school.
A student interested in journalism could gain practical broadcasting experience.
These were valuable outcomes even when individual events attracted relatively small audiences.
The business lesson was becoming clearer: a specialized audience could be worth serving without the reach of a national television broadcast.
That did not guarantee profitability.
Production expenses, distribution costs, subscriptions, sponsorships, and audience retention still mattered.
But streaming created opportunities that traditional broadcasting economics had often limited.
Video Courtesy of Max Preps YouTube Channel
Smaller College Conferences Demonstrated the Value of Digital Distribution
College athletics provided another example of how specialized audiences could benefit from expanded digital coverage.
Before ESPN+ launched, universities and conferences were already distributing events through their own websites, conference networks, and existing streaming partnerships.
The Ivy League was among them.
In October 2017, the conference announced that its Ivy League Network would carry more than 200 men’s and women’s basketball games during the 2017–18 season.
The broader platform offered more than 1,100 live events annually across multiple sports.
The conference also maintained a relationship with ESPN3, which carried selected Ivy League productions.
This history matters because it demonstrates that smaller college conferences were not simply waiting for major broadcasters to invent digital distribution.
They were already using it.
In April 2018, ESPN and the Ivy League announced a 10-year media rights agreement that would place more than 1,100 conference events annually across ESPN platforms, with most available through ESPN+.
The agreement covered football, basketball, and numerous additional sports while preserving selected events for traditional television.
The Ivy League’s official announcement described the arrangement as a way to expand exposure and improve access for fans.
Rather than creating an entirely new audience from nothing, ESPN was incorporating an existing digital sports offering into a larger distribution system.
The distinction is important.
The Ivy League example does not prove that independent streamers directly influenced ESPN’s decisions.
It demonstrates how digital distribution developed among specialized sports audiences before becoming part of a larger media company’s subscription strategy.
When Major Media Recognized the Value of Underserved Fans
When ESPN+ launched on April 12, 2018, it represented an important expansion of ESPN’s direct-to-consumer business.
It was not ESPN’s first experience with streaming.
The company had already offered digital sports coverage through services including ESPN3 and authenticated viewing platforms.
ESPN+ nevertheless created a new subscription offering that combined live sports, original programming, and on-demand content.
What makes its launch especially relevant is how ESPN executives described the intended audience.
In an interview published by ESPN on launch day, Burke Magnus, then ESPN’s executive vice president of programming, identified two particularly important groups.
One consisted of fans interested in niche sports that had received limited exposure.
The other consisted of supporters who struggled to access coverage of specific teams, including college alumni interested in following their former schools.
That explanation provides direct evidence of how a major broadcaster viewed the commercial opportunity.
ESPN recognized that passionate sports audiences existed beyond the programming typically featured on its primary television networks.
Its strategy was not necessarily the result of watching independent creators succeed.
Instead, ESPN’s own explanation showed that the company understood a principle smaller digital broadcasters had also demonstrated: specialized audiences wanted reliable access to content they cared about.
For sports media, this represented a significant opportunity.
A volleyball match, college baseball game, or international sporting event might not justify a national television window.
But digital distribution could make such coverage more practical within a larger programming portfolio.
Streaming Was More Than a Response to Creators
It would be misleading to suggest that niche live streamers alone drove the expansion of digital media.
Major broadcasters had their own reasons to invest.
Broadband availability improved.
Smartphones and connected televisions created additional viewing options.
Streaming technology became more capable.
Media companies pursued subscription revenue, advertising opportunities, and control over their digital distribution.
Sports rights agreements also played a major role.
Traditional broadcasters needed to adapt to an environment in which audiences increasingly expected programming across multiple devices.
These changes developed alongside the growth of independent streaming communities.
The relationship was therefore more complicated than smaller creators inventing an idea and larger organizations copying it.
Niche broadcasters helped demonstrate audience demand, while major companies developed strategies shaped by technology, commercial opportunities, existing media rights, and competitive pressures.
Both developments contributed to a changing media environment.
The broader result was an expansion of what audiences could watch and how organizations could reach them.
Key Moments in Live Streaming’s Evolution
Year
Development
2007
Justin.tv launches, helping pioneer accessible online live broadcasting
2011
Twitch launches as a gaming-focused livestreaming platform
2013
Twitch reports more than 28 million unique viewers in February; NFHS Network launches
2017
Ivy League Network offers more than 1,100 live events annually
2018
ESPN+ launches and announces major college sports distribution agreements
2020s
Live streaming remains an important distribution channel across sports, entertainment, news, and creator media
The Business Lesson: Pay Attention to the Audiences Others Overlook
The development of live streaming offers a lesson that extends beyond media.
Businesses sometimes focus so heavily on large markets that they overlook smaller communities with specific needs.
Independent creators and local broadcasters frequently operate in those overlooked spaces.
They may lack the resources of established companies, but they can experiment, learn from their audiences, and develop products around interests that larger organizations have not prioritized.
The growth of Twitch demonstrated the potential of interactive communities.
The NFHS Network showed how digital distribution could expand access to local events.
The Ivy League’s digital coverage illustrated how smaller sports properties could reach supporters beyond their geographic markets.
And ESPN’s own explanation of its 2018 streaming strategy confirmed that underserved sports fans represented an audience worth pursuing.
These examples do not establish that every major broadcaster followed the same path or that niche creators were solely responsible for streaming’s growth.
They establish something more useful: audience demand can become visible in places that traditional media has overlooked.
For entrepreneurs and media organizations, the lesson is to recognize those signals before dismissing them.
A small audience does not automatically mean a small opportunity.
Sometimes it means an opportunity that has not yet been fully understood.
The next important change in media may emerge from a major broadcaster, a technology company, or an independent creator experimenting with an unfamiliar format.
And sometimes, it begins with someone pressing “Go Live.”
Graphics created with AI-assisted design tools.
Visual concepts, editorial direction, composition, and final creative decisions were developed by Vallano Media.
Sources and further reading:
Amazon Web Services — How Twitch Built Its Global Live Streaming Network
Twitch — Record-Breaking Growth, March 2013
NFHS — NFHS Network Begins Seventh Year of Covering High School Events
Ivy League — Basketball Television and Streaming Coverage, October 2017
Ivy League — Long-Term ESPN Agreement, April 2018
ESPN Press Room — ESPN+ Launch Interview, April 2018
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