Study 005 / desire
Read a short passage and give your assessment.
Rate three presentations before seeing the comparison.
This voluntary demonstration changes how information is presented. Some details, including any simulated claims, are explained after the final step. You can reveal them or leave at any time.
Your responses stay in this browser tab. No research data is submitted.
Read the mechanism firstStudy 005 / Manufactured popularity
01 / Observation
Visible engagement can accompany content before a person evaluates it.
02 / Hypothesis
A popularity cue may change stated quality, credibility, or willingness to share identical content.
03 / Mechanism
A crowd cue may be read as information, social approval, or a signal of relevance.
04 / Experiment
Rate the same passage three times: 18,400 likes first, then 23 likes, then no count. The reveal follows all three responses. The informed replay removes every count.
05 / Result
The reveal compares each set of ratings with its actual count or absent count. The counts are fictional stimuli, not visitor activity. This sequence provides no causal estimate.
06 / Alternative explanations
Distrust of counts, interest in the content, order, repetition, remembered ratings, expectations, and unfamiliarity with the platform may affect the comparison.
07 / Real-world use
Reviews, feeds, trending lists, download counters, queues, and best-seller labels.
08 / Ethical dimension
Popularity can help discover useful material. Fabricated or selectively displayed popularity can misrepresent the evidence available to the viewer.
09 / Countermeasure
Form an initial judgement with the count covered. Ask who was counted, how they were selected, and what the number actually measures.
Short summaries in our own words: what the research found, why it belongs here, and where its conclusions stop. These papers provide background; they do not report results from your visit.
Primary research
A randomised field experiment altered an initial rating and observed later votes. Prior social information could bias subsequent evaluations, making the first visible signal part of the process. This grounds the question behind our invented like counts, without supplying an expected effect size for this passage or visitor.
Online market experiment
An experimental music market compared independent choices with choices informed by others’ downloads. Social influence increased both inequality and unpredictability of success. The implication extends beyond a single like count: visible history can help create the popularity it appears merely to report. Song quality still mattered.
A demonstration can make a mechanism inspectable. One person’s response, or a replay after disclosure, cannot identify a causal effect or establish nonconscious influence.