How to Practice Media Literacy in the Age of Algorithms and AI

Your Old Media-Literacy Rules Are Not Enough

How to Practice Media Literacy in the Age of Algorithms and AI

Media literacy used to mean asking who created a message, who owned the publication, what evidence supported the claim, and what bias shaped the coverage.

Those questions still matter. But they are no longer enough.

Today, a single story can become a news article, TikTok clip, reaction video, podcast segment, Instagram carousel, meme, AI summary, headline screenshot, and algorithmic recommendation. Each version may reach a different audience with a different amount of context.

In this episode of Network Issues, media scholar Jamie Cohen and marketing strategist Destinee Day explain how media literacy must evolve for a world shaped by recommendation algorithms, misinformation, memes, clipping, synthetic media, and artificial intelligence.

What Is Media Literacy?

Media literacy is the ability to access, analyze, evaluate, create, and act using media.

It is more than knowing how to operate a phone, edit a video, or publish a social post. Those are media skills.

Media literacy involves asking:

  • Who created this message?

  • Why was it created?

  • Who benefits from it?

  • What evidence supports it?

  • What has been omitted?

  • How is the message framed?

  • What action does it encourage?

  • How should I respond?

The goal is not simply to identify whether something is true or false. It is to make more informed decisions as a citizen, consumer, creator, and participant in public life.‍ ‍

Why Traditional Media Literacy Is No Longer Enough

Traditional frameworks were largely developed around recognizable media formats.

A newspaper looked like a newspaper. A television advertisement looked like an advertisement. A news report appeared inside a scheduled broadcast.

Digital media does not remain inside those boundaries.

A single piece of reporting can be:

  • Summarized without its evidence

  • Cropped into a screenshot

  • Reframed by an influencer

  • Clipped into a short video

  • Turned into a meme

  • Recommended to an unrelated audience

  • Rewritten by an AI system

  • Detached from its original date

  • Shared alongside false commentary

The original source may still be accurate, while the version circulating through social media becomes misleading.

Modern media literacy therefore requires understanding both the message and the system distributing it.

How Did the Pandemic Change Media Consumption?

The COVID-19 pandemic pushed work, school, health information, entertainment, politics, and personal relationships into the same digital environment.

Destinee describes the change as a stampede: people were already walking through online spaces, and then nearly everyone arrived at once.‍ ‍

Several developments accelerated simultaneously:

  • Remote work

  • Livestreaming

  • Social activism

  • Platform-based news

  • Creator economies

  • Health misinformation

  • Political polarization

  • Algorithmic recommendations

  • Short-form video

  • Institutional social-media messaging

‍The pandemic did not invent these systems. It compressed years of adoption into a much shorter period.

People gained access to more information without necessarily receiving better tools for evaluating it.

How Does Corporate Ownership Affect Media Coverage?

Media ownership remains a foundational literacy question.

A media company may have financial relationships with:

  • Entertainment companies

  • Sports leagues

  • Technology platforms

  • Advertisers

  • Political organizations

  • Parent corporations

  • Production companies

Ownership does not automatically prove that reporting is dishonest.

It does create potential incentives, limitations, and conflicts that audiences should understand.

When evaluating coverage, ask:

  1. Who owns the outlet?

  2. What businesses are connected to it?

  3. Who advertises there?

  4. Does the outlet clearly label news, analysis, opinion, and sponsored content?

  5. Is the story independently confirmed elsewhere?

What Role Do Algorithms Play?

‍Algorithms help determine what appears in a feed, the order in which it appears, and how often similar material returns.

They may respond to:

  • Watch time

  • Pauses

  • Likes

  • Comments

  • Shares

  • Searches

  • Location

  • Previous topics

  • Accounts followed

  • Similar audience behavior

This means people do not merely consume media. Their behavior continually trains the system, selecting their next piece of media.

A person may watch an inaccurate rumor because it seems absurd. The platform may interpret that attention as interest and recommend more of the same.

Media literacy now includes understanding that attention is data.

How Can You Evaluate an Online Claim?

Use this five-step framework.

1. Pause

Do not share a claim simply because it creates an immediate emotional reaction.

Urgency is often part of the persuasion strategy.

2. Identify the original source

Determine whether you are seeing:

  • Original reporting

  • A screenshot

  • A reaction

  • A clipped quotation

  • A rumor account

  • Sponsored content

  • Satire

  • AI-generated material

3. Read laterally

Leave the page and investigate what other reliable sources say about the outlet, author, organization, or claim.

Professional fact-checkers frequently evaluate unfamiliar sources by opening new tabs rather than remaining on the original page. Stanford’s Civic Online Reasoning program calls this lateral reading. (Collaborative Research at Stanford)

4. Find independent confirmation

Look for reporting that does not simply link back to the same original post.

Several articles repeating one anonymous claim are not necessarily several independent confirmations. ‍

5. Restore the context

Find the full interview, video, report, dataset, speech, or study.

Ask what happened before and after the circulating clip.

What Is Clipping?

Clipping is the process of extracting short moments from longer videos, podcasts, livestreams, interviews, or broadcasts.

Responsible clipping can help people discover a larger piece of work. It can make complex ideas accessible and adapt content for different platforms.

Irresponsible clipping can:

  • Remove qualifications

  • Reverse a speaker’s meaning

  • Exaggerate conflict

  • Combine unrelated statements

  • Hide the original source

  • Reward the most provocative moment

  • Turn analysis into outrage

The clip is not automatically false. It is incomplete by design.

Treat it as an invitation to locate the original—not as the complete record.

How Do Responsible Creators Use Clipping?

Destinee explains that responsible clipping begins with the full content strategy.

A long episode may become:

  • Several short videos

  • Quote graphics

  • An article

  • A newsletter

  • Social captions

  • Guest pitches

  • A carousel

  • Related educational posts

Responsible creators try to preserve the speaker’s meaning while still making the clip interesting.

They should consider:

  • Does the clip misrepresent the full conversation?

  • Is the speaker’s qualification included?

  • Is the original episode linked?

  • Is the title accurate?

  • Does the thumbnail promise something the clip does not deliver?

  • Is controversial language being used only for reach?

Creators are not outside the media-literacy framework. They have additional responsibilities because they understand how framing changes audience interpretation.

Why Do Rumors Look Believable?

Online rumors borrow the visual language of legitimate reporting.

They may use:

  • News-style thumbnails

  • Urgent headlines

  • Professional logos

  • Source-like usernames

  • Screenshots of quotations

  • “Breaking” labels

  • Anonymous insiders

  • Partial video clips

Destinee uses Formula 1 rumors as an example.

A quote may begin in a real interview, lose its surrounding context, and generate months of speculation. An account can build engagement by repeatedly presenting that speculation as a new development.

Before accepting a rumor, look for:

  • A named reporter

  • A recognizable publication

  • A link to the original source

  • A direct quotation

  • Independent confirmation

  • Reporting from the relevant organization or individual

Why Does Context Matter More Than Ever?

Online media frequently reaches people outside its original community.‍ ‍

A joke intended for one subculture may be interpreted as a factual statement elsewhere. A clip from a long academic discussion may be presented as a political endorsement. An old video may circulate as though it happened today.

This is sometimes called context collapse.

The audience loses information about:

  • Who was speaking

  • Who the intended audience was

  • When it happened

  • What genre it belonged to

  • What came before it

  • Whether it was serious, ironic, promotional, or satirical

The ability to restore that context is one of the most valuable modern media-literacy skills.

How Have Memes Changed Media?

A meme is not only an image with text.

Memes can include:

  • Sounds

  • Gestures

  • Phrases

  • Video formats

  • Challenges

  • Characters

  • Editing styles

  • Repeated behaviors

A meme reduces an idea into a form that can be copied and changed.

That makes memes powerful tools for humor and cultural participation. It also allows political, commercial, or misleading ideas to travel without a traditional argument.

Someone may repeat a phrase because it signals group membership without knowing its origin or broader meaning.

Media literacy therefore requires asking not only what a meme says, but what community, ideology, or event travels with it.

What Changes in the Age of AI?

Generative AI can now summarize articles, create images, imitate voices, generate video, write headlines, and produce confident explanations.

That creates several new questions:

  • Is this media authentic?

  • Was AI used to alter it?

  • Does the summary match the original source?

  • Are the citations real?

  • What information was supplied to the model?

  • What information did the model invent?

  • Who is responsible for the final claim?

AI should not be treated as an independent source simply because its answer sounds polished.

UNESCO’s current media- and information-literacy guidance emphasizes understanding the social context of AI, critically engaging with AI systems, and applying existing literacy principles to new technologies. (UNESCO)

A Practical Framework for AI-Generated Information

When an AI system provides a factual answer:

  1. Ask it to identify its sources.

  2. Open the original sources yourself.

  3. Confirm that the sources say what the AI claims.

  4. Check dates and publication context.

  5. Separate verified facts from interpretation.

  6. Never assume a citation is real without opening it.

  7. Use authoritative sources for medical, legal, financial, or political claims.

  8. Treat confident language as style—not proof.

Skepticism Is Not Cynicism

Jamie distinguishes skepticism from cynicism.

A skeptic asks:

How do I know this?

A cynic assumes:

Nothing can be trusted.

Cynicism can make people just as vulnerable as blind trust. When someone believes every institution lies, they may accept whichever alternative source confirms their existing beliefs.

Healthy skepticism requires evidence, patience, and a willingness to change one’s mind.

The Network Issues Media-Literacy Checklist

Before sharing a post, article, video, clip, or AI answer, ask:

  1. Source: Who originally created it?

  2. Purpose: What does the creator want me to believe or do?

  3. Evidence: What supports the claim?

  4. Context: What happened before and after?

  5. Ownership: Who funds or controls the source?

  6. Distribution: Why did the algorithm show this to me?

  7. Framing: What words, images, or clips shape my reaction?

  8. Confirmation: Has it been independently verified?

  9. Creation: Was it edited, sponsored, clipped, or generated with AI?

  10. Action: What happens if I share, buy, vote, or react?

Key Takeaways

  • Media literacy is more than technical skill.

  • Traditional questions about authorship, ownership, evidence, and bias still matter.

  • Algorithms determine which messages receive attention.

  • A clip is an edited representation, not the full context.

  • Rumors often borrow the appearance of legitimate journalism.

  • Memes can carry ideology and identity without making an explicit argument.

  • AI-generated explanations should be independently verified.

  • Lateral reading is more effective than evaluating an unfamiliar source only from its own website.

  • Responsible creators must consider how their clips and headlines change meaning.

  • Slowing down is one of the most effective responses to misinformation.

Questions Answered in This Episode

What is media literacy?

Media literacy is the ability to access, analyze, evaluate, create, and act using media responsibly.

Why is media literacy important?

It helps people evaluate information, recognize persuasion, understand ownership and incentives, and make better civic and consumer decisions.

What is lateral reading?

Lateral reading means leaving an unfamiliar page and opening other sources to investigate who is behind it and whether it is credible.

How do algorithms affect media literacy?

Algorithms personalize and rank content based partly on user behavior, meaning visibility is not the same as accuracy or importance.

What is context collapse?‍ ‍

Context collapse occurs when media reaches an audience without the original cultural, conversational, historical, or platform context needed to interpret it.

How should people evaluate AI-generated information?

Verify its claims through original, authoritative sources and never assume that polished language or a supplied citation proves accuracy.

Is clipping unethical?

No. Clipping is a normal content practice. It becomes misleading when it removes essential context or misrepresents the original speaker.

About the Hosts

Jamie Cohen

Jamie Cohen is a media scholar, professor, writer, and expert on internet culture, online extremism, memes, media literacy, and the manosphere.

Website:jamesncohen.com
Substack:New Media Homework

Destinee Day

Destinee Day is a marketing strategist and founder of Rudy & Company. Her work focuses on branding, digital strategy, communications, online influence, and responsible marketing.

Website:rudyandcompany.com

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