You may open a platform to find information and end up comparing your life with other people's achievements, or saving advice because its author sounds confident. At work, the same information may travel from a post into a presentation, report or decision. Digital awareness is a skill we use in learning and professional life alike.
What deserves your attention?
When opening a platform, ask why you are there and what you want to accomplish. Then notice what makes you stay or change direction. This helps reveal the relationship between your purpose, suggested content, notifications and browsing habits.
Try a small routine: define one task before opening the platform, then review whether the time served that purpose. For study, the task might be finding an original reference; for work, following a specific organisation or opportunity. The aim is to observe and adjust your own use.
Professional self-presentation is a partial view
On Instagram and LinkedIn, we see what people choose to publish about themselves. This can support learning and connection, but it does not necessarily show the circumstances, time or support behind an achievement. Before turning comparison into a judgement about yourself, ask what you can learn and what actually fits your context.
The same question helps when building a professional presence. Does your content explain the work, your role and the limits of your contribution? A clear example, useful tool or lesson learned gives others a more grounded way to understand your experience and consider working with you.
Follow the claim back to its source
Before sharing a post or using it in a report, identify its claim and find the original source, date and context. Distinguish opinion, research findings and advertising, and distinguish relevant expertise from broad reach. Ask what evidence could change your view as well as what supports it.
A team can practise with one piece of information relevant to a project. One colleague records the claim, another identifies the source, and the group considers its relevance and what remains unverified. This is a suggested exercise for building a shared habit, not a guarantee against error.
Reviewing AI-generated content
Generative tools can help organise ideas or prepare a draft, with human review of material that will be used. Open the cited references, check figures against sources, and review names, dates and meaning. If a claim cannot be verified, make that limitation clear before relying on it.
At work, agree what may be shared with tools, who reviews their outputs and who approves the final version. Use illustrative or de-identified material for training and follow organisational rules for work information. Responsibility for a report or decision stays clear with the people reviewing and approving it.
The research behind the initiative
My independent research involved 96 pre-intervention responses from university students, a short digital awareness intervention and 40 post-intervention responses with open-ended questions. It developed into the book From Instagram to LinkedIn and the TareqPodcast series Why Did We Believe It?, bringing selected concepts to wider audiences.
The pre/post design was unpaired: no shared code linked an individual's responses across the two measurements. Participation was voluntary through a convenience sample, with no control group. Comparisons are therefore descriptive indicators and self-reported responses within the study's limits. They do not establish measured individual improvement or a definitive causal effect of the intervention. The linked research page explains the method in more detail.
From individual awareness to team practice
These questions can become a practical session for students or staff: review an attention habit, examine a post, check an AI-generated draft and agree one habit to follow up. Activities are adapted to the audience, purpose and available time.
Start today with one item you intended to share or rely on. Identify the claim, open its source and ask what is still missing before using it. The library offers an attention self-review, a credibility verification card and an AI-content checklist: manageable steps towards using knowledge with greater clarity and responsibility.