Week 12: Crowd sourcing in times of crisis
Hey friends, weâve made it to the final post! This week, weâre looking at how people come together online during emergencies, using crowdsourcing to share info, map crisis zones, and provide real help.
In this blog, Iâll break down what crowdsourcing is, how it works during disasters, and why it matters. Weâll look at real examples, the pros and cons, and how we can play a role as responsible digital citizens. Letâs get into it!
Crowdsourcing is the practice of obtaining services, ideas, or information by soliciting contributions from a large group of people, typically via the internet rather than relying solely on traditional experts or institutions. The concept was first popularized by Jeff Howe in 2006, who defined it as "the act of taking a job traditionally performed by a designated agent and outsourcing it to an undefined, generally large group of people in the form of an open call" (Howe 2006). In the context of crisis response, crowdsourcing enables individuals to collaborate in real time, sharing local knowledge, resources, and observations to support emergency efforts. It is especially powerful when institutional responses are delayed or overwhelmed, allowing affected communities to take an active role in information-gathering, mapping, and aid coordination (Dave 2017).
The biggest advantage of crowdsourcing during a crisis is speed. Local people can report updates as events happen, often faster than traditional authorities. It also makes use of local knowledge, which helps responders identify real needs on the ground. Crowdsourcing encourages community participation, giving people a voice in the response effort. Itâs also low-cost and scalable as anyone with an internet connection can contribute.
However, there are downsides. The most pressing issue is accuracy. In emergencies, misinformation can spread quickly and cause panic. There are also privacy concerns such as sharing personal data or location can put people at risk. Lastly, Digital inequality means not everyone has access to crowdsourcing tools or reliable internet, potentially leaving out vulnerable groups such as those in rural areas, low-income communities, or conflict zones (Robinson et al. 2015).
A powerful example of crowdsourcing in action is the use of OpenStreetMap during the Nepal earthquake 2015. After the disaster, much of the countryâs infrastructure was damaged or unmapped, which made it difficult for aid agencies to reach affected areas. In response, thousands of online volunteers including many of outside Nepal, used satellite imagery to update OpenStreetMap. They added roads, buildings, and landmarks to help humanitarian teams navigate the crisis zone. This data was used by the Red Cross, UN agencies, and local NGOs to direct resources and plan rescues. What made this effort remarkable was the global collaboration. Volunteers didnât need to be experts, just willing to help. This case proves that crowdsourcing, when organized and ethical, can bridge the gap between local needs and global response (Dave 2017).
As digital tools evolve, the future of crowdsourcing looks promising. Technologies can improve verification, security, and inclusivity. More governments and NGOs are also learning to integrate crowdsourced data into official disaster response. However, the key challenge will always be balancing speed with responsibility. Platforms must continue improving transparency and user safety, while users must be aware of what they share, why it matters, and who might be affected.
To sum up, crowdsourcing shows us that when people connect online with purpose, they can make a real difference. In times of crisis, digital platforms turn everyday users into part of the solution like mapping danger zones, sharing resources, and offering hope. But with this power comes responsibility. As digital citizens, itâs on us to act with care, empathy, and integrity.
Thanks for following along throughout my blogs. Iâve loved exploring these topics with you, see you!
References:
Dave, A 2017, âDigital Humanitarians: How Big Data Is Changing the Face of Humanitarian Responseâ, Journal of Bioethical Inquiry, vol. 14, no. 4, pp. 567â569.
Howe, J 2006, The Rise of Crowdsourcing, Wired Magazine, vol. 14, no. 6, viewed 11 June 2025, <https://www.wired.com/2006/06/crowds/>.
Internet Geography 2015, Nepal Earthquake 2015 - Internet Geography, viewed 11 June 2025, <https://www.internetgeography.net/topics/nepal-earthquake-2015/>.
Jay Nepal - Action Volunteers 2015, Nepal Earthquake 2015: JAY NEPAL - Action Volunteers, YouTube, viewed 12 June 2025, <https://www.youtube.com/watch?v=IYUmd_va7VM>.
Robinson, L, Cotten, SR, Ono, H, Quan-Haase, A, Mesch, G, Chen, W, Schulz, J, Hale, TM & Stern, MJ 2015, âDigital Inequalities and Why They Matterâ, Information, Communication & Society, vol. 18, no. 5, pp. 569â582.













