Stage 4 of 9 · Channels and messengers

Who is really speaking

Who is really speaking, and how did this reach me?

Marketing often travels through voices that seem independent: an article, a ranking, a creator, a wall of customer reviews. This chapter shows how to find out who is speaking and whether they gain if you buy, how to spot undisclosed sponsorship, affiliate rankings, and fake or filtered reviews, and how to weigh a paid voice fairly.

All stages

Who is speaking, and who paid for it

The same sentence means different things depending on who says it. Praise from the seller is advertising; the same praise from a stranger with nothing to gain is evidence. A great deal of marketing effort therefore goes into delivering the message through a voice that seems independent: a journalist, a reviewer, a creator you follow, a crowd of satisfied customers. The defensive question at this stage is simple to ask and sometimes hard to answer: who is speaking, and does the speaker gain if I buy?

A paid messenger is not automatically a dishonest one. Sponsorship that is disclosed clearly, at the start, in plain words, lets you weigh the recommendation properly, and many sponsored reviewers are candid. The problem is the hidden or half-hidden connection, because it removes the one piece of information you need.

Native advertising and affiliate rankings

Native advertising is paid content dressed in the format of its surroundings: an article on a news site, a post in a feed, a result at the top of a search. Look for the label, which may be small and vaguely worded: sponsored, promoted, partner content, presented by. Research on native advertising finds that many readers do not notice these labels at all, so make checking for them a habit and do not rely on noticing.

Affiliate reviews are a quieter form. A best-of list or comparison site earns a commission when you click through and buy, which gives it a reason to recommend whichever product pays most, and to recommend something every time. Tells include a disclosure in the footer, tracking codes in the links, rankings with no stated test method, and no product that is ever advised against. Affiliate-funded sites can still test carefully; the ones that do show their method.

Influencer adverts

Creators are paid in money, free products, commissions on discount codes, or all three. In the US the FTC Endorsement Guides, and equivalent rules elsewhere, expect any such material connection to be disclosed clearly and conspicuously, where viewers will see or hear it without hunting. A personal discount code is itself evidence of a commercial relationship. Be wary of a disclosure that appears only in the collapsed part of a description, in a cloud of hashtags, or as an ambiguous tag such as sp or collab, and of talking points that match those of other creators word for word.

Fake and filtered reviews, and how to read sideways

Star ratings fail in two ways. Some reviews are fabricated or bought, by the seller to raise its score or by a rival to lower the score of a competitor. Others are real but selected: the seller invites only happy customers to review, offers a reward for five stars, or displays a curated set on its own site. Signs of trouble include bursts of short, similar reviews within a few days, reviewers with no other history, mention of a free product or refund in exchange for the review, and a large gap between the rating on the seller site and the rating on independent platforms.

To check, read sideways. Leave the page and search for the company on two sources it does not control. Read the middling and the most recent reviews first, since they carry the most detail, and look for patterns in the complaints, especially about billing and cancelling. Then weigh what you find by who gains: an unpaid stranger describing a specific experience counts for more than any number of anonymous stars.

Techniques you will meet here, and the tell

A recommendation is paid for, in money, product, or commission, and the payment is hidden or disclosed where few will see it.

The tell: There is a personal discount code or a tracked link, but the word ad or sponsored is missing from the part you actually watched or read.

Paid content takes the layout and tone of editorial content, a ranking, or a search result.

The tell: A small label such as partner content or presented by sits above something that otherwise looks like an article.

Free products and codes are sent to many creators at once so that the product seems to appear spontaneously across your feed.

The tell: Several unrelated creators feature the same product in the same week, using similar phrases and each with their own code.

Fake ReviewsMANIPULATIVE

Fabricated or purchased reviews raise the rating of the seller, or lower that of a rival.

The tell: Many short, generic five-star reviews arrive within days of each other from accounts with no other activity.

Real reviews are filtered: only satisfied customers are invited, rewards are offered for high ratings, and the seller site shows a curated selection.

The tell: The seller site shows a near-perfect score with no way to sort by lowest or newest, and independent platforms show a clearly lower one.

Social ProofDUAL-USE

Counts of customers, stars, and followers are presented as evidence of quality.

The tell: A large number is offered in place of any specific, checkable account of what using the product is like.

Halo EffectDUAL-USE

Trust earned by a creator or publication in one area is borrowed for a product they were paid to feature.

The tell: You notice that your confidence comes from liking the person, not from anything they showed about the product.

Worked example

Fictional

Dana and Hearthbox are fictional, as is the creator Mara. Dana wants outside opinions on Hearthbox before going further, and finds four kinds of voice.

  1. 1The top search result is a list of the seven best meal kits of the year, with Hearthbox ranked first. The footer says the site may earn a commission, every link carries a tracking code, no test method is given, and every kit is best for something. Dana files it as an advert in list form.
  2. 2Mara, a cooking creator Dana follows, posts a video making a Hearthbox recipe and offers the code MARA60. Nothing in the video says it is an advert; the words Hearthbox partner appear in the description after the fold. Dana counts it as paid, but keeps the facts it shows: what arrives in the box, and that a recipe labelled 25 minutes took Mara about 40.
  3. 3The Hearthbox site shows 4.8 stars from thousands of customers. The reviews cannot be sorted by lowest or newest, so Dana treats the figure as a display chosen by the seller.
  4. 4On an independent review platform the rating is 3.6. She reads the three-star and most recent reviews: the food is mostly praised, and the recurring complaints are about being charged after cancelling and about missing the weekly cutoff.
  5. 5She asks a colleague who used a different meal kit last year and gains nothing either way. The colleague says the food was good and that skipping weeks took more attention than expected.

Outcome. Two of the three enthusiastic voices were paid, and one disclosed it poorly. From the voices with no stake Dana learns something more useful than a rating: the food is probably fine, and the risk lies in billing and cancellation. That tells her what to prepare for if she signs up.

Messenger worksheet: who is speaking?

Fill this in for one recommendation, review, or article you are relying on. Repeat it for each important source. Saved in this browser only.

Name the person, site, or account that delivered the recommendation and where you met it.

Choose the best description of the relationship between this messenger and the seller.

Copy the exact words of any disclosure and note where it appears (start of video, footer, description).

Tick every sign you see in the reviews you looked at.

Name two sources the seller does not control and summarise what each says.

Write the complaint that recurs most often in recent and middling reviews, if any.

Decide how this source counts in your decision.

Decision check: do you know who is speaking?

0/6

If any of these is not true: Reclassify the source as advertising: useful for learning what the product is, not for judging whether it is good. Find two sources with no stake before deciding, and ask someone you know who has used the product or one like it. If a paid endorsement is not disclosed or reviews look fabricated, keep a screenshot and use the report function of the platform; such practices can also be reported to the FTC in the US or to the national consumer or advertising regulator elsewhere.

Common mistakes

  • ×Assuming that no label means no payment. The absence of a disclosure is exactly what undisclosed sponsorship looks like; check for codes, tracked links, and repeated talking points.
  • ×Reading only the average star rating. The distribution, the dates, and the text of middling reviews carry the information.
  • ×Mistaking familiarity for independence. Feeling that you know a creator does not change who is paying for the video.
  • ×Assuming a child can tell. Advertising woven into creator videos and games is harder to recognise than a commercial break, so talk through who is paying.
  • ×Over-suspicion. Disclosed sponsorship is honest practice, enthusiastic reviews are often real, and a paid review can still show true details. Discount the verdict, keep the facts, and do not call a review fake on a hunch.
The same stage, active side
Choose channels and messengers with the source in plain sight

Where and through whom will the message travel, with the source visible?

References

  1. Federal Trade Commission (2023). Guides Concerning the Use of Endorsements and Testimonials in Advertising, 16 CFR Part 255
    Sets the expectation that material connections between endorsers and sellers are disclosed clearly and conspicuously.
  2. Federal Trade Commission (2024). Trade Regulation Rule on the Use of Consumer Reviews and Testimonials, 16 CFR Part 465
    Prohibits fake reviews and testimonials, buying reviews conditioned on a particular sentiment, and certain forms of review suppression.
  3. Luca, M., & Zervas, G. (2016). Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud. Management Science
    Finds that businesses are more likely to engage in review fraud when their reputation is weak or competition increases.
  4. Mayzlin, D., Dover, Y., & Chevalier, J. (2014). Promotional Reviews: An Empirical Investigation of Online Review Manipulation. American Economic Review
    Compares review platforms with different posting rules and finds patterns consistent with sellers manipulating their own and rival reviews.
  5. Wojdynski, B. W., & Evans, N. J. (2016). Going Native: Effects of Disclosure Position and Language on the Recognition and Evaluation of Online Native Advertising. Journal of Advertising
    Finds that few readers recognise native advertising as advertising and that recognition depends on the wording and position of the disclosure.
  6. Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How People Cope with Persuasion Attempts. Journal of Consumer Research
    Explains why recognising a message as a persuasion attempt changes how its content is evaluated.
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