For both SL and HL Digital Society, offline identity is expressed mainly through physical interactions and social settings, while online identity is represented through digital profiles, content, behaviour, and data. However, they are interconnected aspects of identity, not two completely separate selves.
Identity helps define a person, group, social entity, or community. In the IB syllabus, identity is not static: it changes over time, across contexts, and according to other people's perspectives. It is also intersectional, combining characteristics such as age, culture, nationality, gender, race, religion, and social class.
| Dimension | Offline identity | Online identity |
|---|---|---|
| Expression | Communicated through physical appearance, speech, behaviour, and face-to-face relationships | Communicated through usernames, avatars, profiles, posts, messages, and digital media |
| Audience | Often shaped for a particular physical setting, such as school or home | May reach several audiences at once, causing context collapse |
| Control | Influenced by the individual and by other people's direct perceptions | Influenced by self-presentation, other users, platform rules, algorithms, and collected data |
| Persistence | Actions may be temporary or remembered informally | Posts, search results, and data records can remain accessible and reproducible |
| Flexibility | Usually connected to an embodied person and local social roles | Can involve anonymity, pseudonymity, multiple profiles, or virtual identities |
Online identity is partly performed, because users select what to share. It is also partly inferred: platforms may classify users from browsing behaviour, location data, contacts, or engagement patterns. These classifications can affect recommendations, advertising, reputation, and access to opportunities.
A common misconception is that offline identity is always authentic while online identity is always false. Both are shaped by context and audience. Digital systems mainly change the scale, persistence, visibility, and algorithmic processing of identity.
Exam technique: For a compare question, refer to both forms throughout and include similarities as well as differences. For an explain question, connect each difference to a reason, such as data persistence or platform algorithms, and then analyse consequences for different people and communities.
