Highlightly TeamResearch papers contain exactly the material people want to share: a surprising finding, a useful number, a sentence worth quoting, or an implication that changes how someone sees a problem. They also contain the context that keeps those pieces honest. The difficult part is translating the paper without accidentally turning a careful result into a sweeping claim.
The reliable workflow is not paper in, generic summary out. It is paper in, evidence selected, context preserved, asset matched to the evidence, human review, then publication. That extra review step is what separates research communication from content that merely sounds research-based.
Shorter is good. Less accurate is not.
A social post can be much shorter than the paper, but it should not be stronger than the evidence. Keep the claim narrow enough that the original source still supports it.
Before extraction
Decide what the post needs to accomplish
Do not begin by asking for a summary of the entire paper. Decide who needs the information and what they should understand or do after seeing it. A researcher may need a concise finding and citation. A practitioner may need the implication. A general audience may need a plain-language explanation of the question before the result makes sense.
Set the brief in seven decisions
Objective
Choose one outcome: awareness, discussion, paper downloads, practical application, or a clear explanation of the finding.
Audience
Name the people who should understand this first. Researchers, practitioners, executives, students, and the public need different levels of context.
Message
Write the one sentence the audience should remember. Keep it narrower than the whole paper.
Evidence
Select the exact result, quote, table, or passage that supports the message.
Format
Choose a stat card, quote card, short post, thread, or carousel based on how much reasoning the audience needs.
Source path
Decide where the full paper, DOI, preprint, dataset, or detailed summary will be linked.
Evaluation
Choose a useful signal such as paper-link clicks, saves, qualified questions, downloads, or mentions—not only likes.
Source review
Keep the report, extracted evidence, and attribution in the same working view.
This product capture is useful because the article is about traceability: the source is still present while the team decides which findings deserve a social format.
Extract first
Build a research evidence sheet before writing
The first pass should collect evidence, not polish sentences. Pull the research question, sample or population, data source, method, primary finding, useful quote, limitations, author, publication, date, and link. If a detail is not available, leave it unknown instead of filling the gap with a plausible guess.
What to preserve from the paper
A worked example
Use the report’s nuance, not only its headline number
The Content Marketing Institute’s 2026 B2B Content and Marketing Trends report surveyed 1,015 B2B marketers. It reports that 95% of organizations use AI-powered applications; among the tools named, 89% use content-creation tools and 53% use creative-asset tools. Those numbers can become useful visual proof, but only when their scope stays attached to them.
Generated output
Use a stat card when one finding deserves the stop.
The generated card keeps the number, context, and source visible instead of presenting a bare percentage.
The same report adds the part a responsible post should not hide: content relevance and quality were the most commonly cited factors moving effectiveness, at 65%. Among marketers using AI for content creation, 58% said content quality improved, while 39% said content performance improved. A post that says “AI makes B2B content better” throws away the distinction. A stronger post says that AI adoption is widespread, efficiency is improving, and teams still have to earn relevance and performance.
Keep the evidence attached to the claim
Choose the asset
Match the visual to the evidence
Use a format that makes the claim easier to check
- Stat card: one number, its unit or denominator, one line of context, and a visible source label.
- Quote card: a real sentence from the paper or researcher, with the speaker and publication details intact.
- Comparison card: two groups, methods, or outcomes that the paper actually compares—not an invented before-and-after.
- Carousel: the research question, what was measured, the main result, the limitation, and the practical implication in sequence.
- Source screenshot: a small, readable excerpt or table used to show traceability, not as a substitute for a designed explanation.
- Caption or thread: the explanation around the visual, with a link to the full paper and a question that invites informed discussion.
Quality control
Run the claim back to the paper
A final review before publishing
Find the sentence
Search the paper for the exact number, quote, or conclusion used in the draft.
Check the subject
Confirm that the population, sample, geography, industry, or time period has not disappeared from the claim.
Check the verb
Replace stronger language such as proves, causes, or always when the paper only reports an association, estimate, or observation.
Check the visual
Make sure the number is legible, the source is visible, and the design does not imply a comparison the research never made.
Check the route back
Link to the paper, DOI, preprint, or detailed summary so interested readers can inspect the full work.
Ask a subject expert
For consequential or technical findings, have someone who understands the research review the final wording.
Repeatable workflow
Turn one paper into a small, coherent content set
A strong research workflow does not force every possible format out of every paper. It selects a small set of assets with different jobs. One post can introduce the question. One stat card can make the result memorable. One quote can add the researcher’s voice. One carousel can explain the method and caveat. A final caption or thread can point readers to the full work.
One source, several responsible outputs
Ingest the source
Upload the research PDF or paste the public paper URL. Keep the original source link attached to the session.
Review extracted material
Inspect the hooks, quotes, statistics, key points, and source metadata. Discard anything that cannot be traced cleanly.
Select the evidence
Choose one finding, one quote, and the context needed to make each one honest.
Create the assets
Build a stat card, quote card, or carousel around the selected evidence. Use a source screenshot only when it helps the reader verify the material.
Apply the brand
Use the brand kit for colors, typography, logo, watermark, and social handle while keeping the source label readable.
Review and publish
Compare each output with the source, add the full-paper link, then export the formats your audience can actually use.
Highlightly is useful in the middle of this process: it turns a paper, report, or research URL into reviewable source material and gives you several visual directions to choose from. The important decision remains human: which finding is worth sharing, what context must travel with it, and which claims should stay out.
Try the workflow
Start with the paper, not a blank prompt.
Upload a research PDF or paste a public article URL. Review the extracted evidence, choose the useful moments, and turn them into branded assets with attribution intact.
Start with a sourceMake the research easier to understand, not easier to misread.
The best research social content is selective, visual, and traceable. Preserve the finding and the context that gives it meaning, then let the format make the evidence easier to enter and discuss.
- Choose one audience and one message before extracting.
- Keep the number, population, method, limitation, and source together.
- Use human review as the final gate between extracted evidence and published content.
Frequently asked questions
Research sources