How PetaBencana, a bot that uses social media posts to map emerging natural disasters in Indonesia in real time, is helping authorities respond more quickly
An Indonesian mapping platform is turning social media chatter into life-saving information during natural disasters. — • JAKARTA, INDONESIA Tweets: @restofworld , @gquaggiotto , @themikestrasser , @restofworld , @arthursmid , @travelfish , @timmerman91 , @cengizyar , @restofworld , @restofworld , @restofworld , @anupkaphle , and @martinsfp Tweets: @restofworld : When disasters strike, Indonesians turn to social media. @timmerman91 looks at how one mapping platform is using those tweets to build real-time, ground-level pictures of evolving catastrophes https://restofworld.org/... Giulio Quaggiotto / @gquaggiotto : For people reporting haze, air quality indexes don't have real resonance.. “We created a system where for residents to report, they can input the symptoms they're feeling, and that is used to classify the severity.” https://restofworld.org/... Congrats @iHolderness @nashin_mahtani https://twitter.com/... Mike Strasser / @themikestrasser : Disaster-Bot: a great example of creative thinking leading to critical thinking about risk. It teams-up AI with social media to crowdsource risk and impact assessment, informing decision making about disaster: #riskmanagement #risk #CriticalThinking https://restofworld.org/... @restofworld : Founded in the capital of one of the most disaster-hit countries on earth, Indonesia's PetaBencana is able to turn social media posts into a live view of emerging catastrophes, cutting through the chaotic flow of information that follows a natural disaster https://restofworld.org/... Life / @arthursmid : “The map displays verified information from formal sources alongside crowdsourced information from citizens through social media.” https://restofworld.org/... cc @DrLucyJones Stuart MaskDonald / @travelfish : “Indonesia's disaster approach is often top-down and prescriptive. The disconnect between decision-makers and people on the ground has led to aid being badly-distributed during emergencies, leaving people to fend for themselves.” https://restofworld.org/... Good read. Antonia Timmerman / @timmerman91 : “Bringing citizens into disaster response is vitally important to redressing the injustices created and exacerbated by the climate crisis, @nashin_mahtani said.” My latest for @restofworld is about this very interesting disaster tech @petabencana. https://restofworld.org/... Cengiz / @cengizyar : Jakarta tops the list of cities with great risk of environmental hazards, including air pollution & seismic activity. It makes sense that Indonesia's capital also gave birth to the Disaster Bot @petabencana. @timmerman91 & @mfimages for @restofworld https://restofworld.org/... https://twitter.com/... @restofworld : Weekend #longreads: Indonesia's Disaster Bot produces real-time maps of emerging disasters based on posts from social media, providing potentially life-saving information about floods, earthquakes, fires, and volcanoes https://restofworld.org/... @restofworld : Jakarta is at the top of the list of cities with the greatest risk of environmental hazards, including floods, air pollution, earthquakes, and volcanoes. So it makes sense that the Indonesian capital is the birthplace of the Disaster Bot https://restofworld.org/... @restofworld : Indonesia's @petabencana ("disaster map") produces real-time, crowdsourced maps of emerging disasters based on posts from social media, providing potentially life-saving information about floods, earthquakes, forest fires, and volcanoes https://restofworld.org/... Anup Kaphle / @anupkaphle : Whenever a disaster strikes, Indonesians tweet. Here's how a bot is turning that social media chatter into life-saving information during natural disasters. https://restofworld.org/... — by @timmerman91 from Jakarta Martin Sfp Bryant / @martinsfp : An Indonesian mapping platform is turning social media chatter into life-saving information during natural disasters. https://restofworld.org/...
Context & Ripple Effects
The article lands in the middle of a Rest of World thread on citizens building the information layer their governments lack: volunteers stepped in after Brazil's official COVID figures went dark, and Indian netizens crowdsource ICU-bed availability during surges. PetaBencana applies the same logic to natural disasters in Indonesia, converting tweets into live ground-truth maps that authorities can act on.
Indonesia is becoming a testbed for this kind of social-data tooling — Ismail Fahmi's misinformation-mapping work has made him a household name there. The contrast case is One Concern, whose exaggerated AI claims for emergency responders showed the cost of overpromising; PetaBencana's model is the opposite bet, grounding every claim in an actual post.
First-order effects
- Indonesian authorities get real-time, post-sourced disaster maps instead of waiting for consolidated official reporting, shortening the gap between an event starting and responders acting on it.
- Residents posting during a flood or quake effectively become sensors — their reports feed a shared operational picture rather than dissipating as unstructured chatter.
Second-order effects
- Success here pressures governments and funders toward cheap, verifiable crowdsourced tooling over opaque proprietary AI for crisis response, with One Concern's credibility collapse serving as the cautionary benchmark.
- The same social-mapping playbook is positioned to migrate from disasters to other crisis domains — the India and Brazil coverage shows health emergencies already running on identical infrastructure.
Third-order effects
- If Indonesia proceeds with restricting social media access for under-16s — and enforcement so far is patchy — the state would be simultaneously regulating and depending on the same platform layer these maps run on, forcing policy to treat social data as critical infrastructure.
- A durable pattern emerges where civil society, not government, owns crisis data pipelines; regulators will eventually need formal rules for verifying, licensing, and integrating citizen-generated feeds into official emergency response.
The trend: Crisis information is migrating from official feeds to crowdsourced social-data infrastructure, with Indonesia emerging as both its proving ground and a regulator testing limits on the platforms it relies on.