# Data Void A **search-engine query that returns little or no authoritative content**, leaving its results easily exploited by bad actors who fill the gap with manipulative material. The term was coined by Microsoft's Michael Golebiewski in May 2018 and developed with researcher danah boyd (Microsoft Research; Data & Society) in the report *Data Voids: Where Missing Data Can Easily Be Exploited* (2018, updated 2019). The concept's importance is that it reframes disinformation as a problem of *supply and infrastructure*: manipulators do not only fight over contested facts, they identify and pre-seed the empty corners of the information ecosystem. ## How data voids are exploited Most data voids are harmless — obscure terms nobody searches. They become dangerous when something causes many people to search the same unfamiliar phrase at once: a breaking-news event, a novel coinage, or a term deliberately introduced to steer searchers. Because search engines must return *something*, a void with no quality content surfaces whatever exists — and manipulators work to make sure what exists is theirs. Golebiewski and boyd catalog several recurring types: - **Breaking news voids** — In the hours after an event, before reporting matures, conspiratorial content can dominate (a pattern seen after mass shootings). - **Strategic new terms** — Coining a fresh phrase ("crisis actor," a novel slur, a branded conspiracy) creates a void the coiners alone have populated, so searching the term *confirms* the frame. - **Outdated terms** — Old vocabulary whose authoritative content has aged out can be recolonized. - **Fragmented concepts** — Topics where quality sources use different terminology than the public, so a layperson's search misses the good material. - **Problematic queries** — Searches whose phrasing presupposes a false premise ("did the Holocaust happen"), which historically surfaced denialist content. The "search-as-recommendation" move — *"do your own research," "just Google it"* — weaponizes voids by directing people to run exactly the searches manipulators have prepared. ## Right-wing-KB relevance Data voids are a core mechanism in the radicalization-and-disinformation pipeline this vault tracks. The instruction to "do your own research" is most effective precisely where a [[Filter Bubble]] or [[Echo Chamber]] has already primed the searcher and where the relevant query is a void the movement has pre-filled. It is the search-engine complement to the [[Firehose of Falsehood]] model (flooding) and to coordinated [[Kremlin Disinformation]] seeding: rather than out-shouting good information, exploit the places where good information was never created. Understanding voids reframes counter-disinformation work toward *anticipating and pre-filling* risky queries rather than only debunking after the fact. ## Distinct from neighbors - **[[Filter Bubble]] / [[Echo Chamber]]** — describe a *user's* narrowed information environment; a data void is a *gap in the public index itself*, exploitable by anyone. - **SEO manipulation / search-engine poisoning** — the *technique* of ranking malicious content; data void names the *condition* (a thin query) that makes the technique cheap and effective. - **[[Firehose of Falsehood]]** — flooding a topic with volume; data-void exploitation is the opposite tactic — colonizing emptiness. ## See Also - [[Disinformation Hub]] - [[Disinformation Lexicon]] - [[Filter Bubble]] - [[Echo Chamber]] - [[Firehose of Falsehood]] - [[Kremlin Disinformation]]