CAMPAIGN WORKFLOWS15 July 2026
Every Language in the Electorate
Machine translation can reach every language the Census says your electorate speaks — once a community reviewer has signed off.

In parts of Western Sydney, most households speak a language other than English at home. The story repeats across Melbourne's north and in pockets of every capital. A campaign that communicates only in English is not running in the whole electorate; it is running in a fraction of it and hoping the rest infer their goodwill. Translation used to be too slow and too expensive to fix this properly. It no longer is — provided the machine does the volume and the community keeps the veto.
Let the Census set the list
The first decision is which languages, and it should not be made by impression. The Census records language spoken at home down to fine-grained geography, and the results routinely surprise campaigns that thought they knew their patch — the second language is rarely the one the office assumed, and the fifth is often one nobody had considered at all. Pull the data for your electorate, rank the languages, and let the numbers overrule the folklore.
Then prioritise ruthlessly, because review capacity — not translation capacity — is the scarce resource. The content that matters most is the content where misunderstanding costs most: how-to-vote cards, where an error changes how someone's preferences flow; the explainers for your two or three signature policies; and the invitations that determine who feels welcome in the room. Everything else queues behind those.
Agree on the words before the sentences
Before translating anything, build a glossary: how the candidate's name is rendered in each script, how the slogan is handled — translated, transliterated, or deliberately left in English — and the fixed translations for recurring policy terms, titles and place names. Without it, five pieces of material will render the same term five ways, and inconsistency reads as carelessness in any language. The glossary loads into every translation prompt, and every reviewer gets a copy, so consistency is enforced twice.
Machine first, human always
The mechanical sequence is cheap and quick. An assistant translates with the glossary and context loaded — audience, register, purpose — rather than sentence by sentence in a vacuum. Then a reverse translation, by a separate session that has not seen the original, renders the draft back into English. Comparing the two catches gross drift early: the negation that vanished, the date that moved, the promise that sharpened in transit. It is a smoke alarm, not an inspection.
The inspection is human, and it is non-negotiable: nothing publishes in a language no one on the review list reads. Native-speaker reviewers — community members wherever possible, and paid for their time wherever budgets allow — catch what no machine reliably catches: register that is technically correct but wrong for talkback-listening grandparents, idioms that land as comedy, the phrase that is perfectly polite in one dialect and an insult in another. Paying reviewers is not only fair; it converts a favour into a standing role, and standing roles are how review survives the campaign's chaotic final month.
Publish where the community already reads
Translated material distributed through the wrong channels is a press release into a void. Each language community has its own media ecology — community-language radio and press with decades of trust behind them, and the WeChat and WhatsApp groups where much of a community's civic conversation actually happens. Material should arrive in the formats native to those channels, carried where possible by people the community already knows. The messenger is part of the message, and no translation is good enough to compensate for arriving as a stranger.
When the words start speaking
The frontier now moving quickly is audio and video: voice synthesis has reached the point where a candidate's short message can exist in a dozen community languages, and radio spots and subtitled video can be produced at a pace that was unthinkable two campaigns ago. The opportunity is real, and so is the obligation — the ear is less forgiving than the eye, and a mispronounced name on community radio does more damage than a typo in print. The rule does not bend for the new formats: a native speaker hears every second of it before anyone else does. The machine gives you reach. The community gives you the right to use it.
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