The University of Maryland has just published an important report on “Social Media Use During Disasters: A Review of the Knowledge Base and Gaps” (PDF). The report summarizes what is empirically known and yet to be determined about social media use pertaining to disasters. The research found that members of the public use social media for many different reasons during disasters:
- Because of convenience
- Based on social norms
- Based on personal recommendations
- For humor & levity
- For information seeking
- For timely information
- For unfiltered information
- To determine disaster magnitude
- To check in with family & friends
- To self-mobilize
- To maintain a sense of community
- To seek emotional support & healing
Conversely, the research also identified reasons why some hesitate to use social media during disasters: (1) privacy and security fears, (2) accuracy concerns, (3) access issues, and (4) knowledge deficiencies. By the latter they mean the lack of knowledge on how to use social media prior to disasters. While these hurdles present important challenges they are far from being insurmountable. Educa-tion, awareness-raising, improving technology access, etc., are all policies that can address the stated constraints. In terms of accuracy, a number of advanced computing research centers such as QCRI are developing methodologies and pro-cesses to quantify credibility on social media. Seasoned journalists have also been developing strategies to verify crowdsourced information on social media.
Perhaps the biggest challenge is privacy, security and ethics. Perhaps the new mathematical technique, “differential privacy,” may provide the necessary break-through to tackle the privacy/security challenge. Scientific American writes that differential privacy “allows for the release of data while meeting a high standard for privacy protection. A differentially private data release algorithm allows researchers to ask practically any question about a database of sensitive informa-tion and provides answers that have been ‘blurred’ so that they reveal virtually nothing about any individual’s data—not even whether the individual was in the database in the first place.”
The approach has already been used in a real-world applications: a Census Bureau project called OnTheMap, “which gives researchers access to agency data. Also, differential privacy researchers have fielded preliminary inquiries from Facebook and the federally funded iDASH center at the University of California, San Diego, whose mandate in large part is to find ways for researchers to share biomedical data without compromising privacy.” So potential solutions are al-ready on the horizon and more research is on the way. This doesn’t mean there are no challenges left. There will absolutely be more. But the point I want to drive home is that we are not completely helpless in the face of these challenges.
The Report concludes with the following questions, which are yet to be answered:
- What, if any, unique roles do various social media play for commu-nication during disasters?
- Are some functions that social media perform during disasters more important than others?
- To what extent can the current body of research be generalized to the U.S. population?
- To what extent can the research on social media use during a specific disaster type, such as hurricanes, be generalized to another disaster type, such as terrorism?
Have any thoughts on what the answers might be and why? If so, feel free to add them in the comments section below. Incidentally, some of these questions could make for strong graduate theses and doctoral dissertations. To learn more about what people actually tweet during this disasters, see these findings here.
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thanks! this would be useful for the thesis I’m currently working on.
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Another important issue is that most, if not all, researchers and studies rely on Twitter only. Can we trust this source, and can we even generalize from it? Facebook with its more than 1 billion users is almost not studied. Even if we know the limitations of access to Facebook, can Twitter suffice? We know for sure that facebook is used more and higher adoption rates around the world. Furthermore, how can you answer if your sample size is even relevant? Twitter limits access and data collection through its API’s, so you can hardly state that your data is complete and whole.
We also know that social media has many cultural characteristics and variations. So, can we use data from Twitter in Thailand while Facebook is the more dominant network there?
Thanks for your note, Tomer.
Yes, the issues you cite are well known and I for one have blogged about them already. No one is suggesting that Twitter should be used in exclusivity. There are (at last count) 38 distinct social media platforms out there. As for sample size, this too has been discussed ad infinitum. Emergency calls like 911 (US) and 999 (UK) are not representative either. You don’t need a representative sample for the purposes of early detection (see field of Digital Disease Detection, for example).
Relevant posts for further reading:
http://iRevolution.net/2013/01/15/the-problem-with-crisis-informatics-research
http://iRevolution.net/2012/12/17/debating-tweets-disaster
http://iRevolution.net/2010/06/28/demystifying-crowdsourcing
http://iRevolution.net/2012/03/20/twitter-predicts
http://iRevolution.net/2012/12/03/predicting-credibility
http://iRevolution.net/2013/01/08/disaster-tweets-versus-911-calls
http://iRevolution.net/2012/12/18/social-media-social-capital-disaster-resilience [see second half re culture]
Thanks for the reply and references. The problem I have is that social media for emergencies (but not only) has been studied intensively for the last four years, and we are still only in the ‘early detection’ phase. The 38 additional platforms are hardly researched, due to API restrictions or low adoption rates (relevancy). Twitter has become academy’s “comfort zone” for research. If you want to study Facebook it should be done with the full cooperation of the pages studied and examined, otherwise you will not have a full data set.
I don’t know still if Facebook has any cooperation initiative with universities, but I know that they limit most social media analysis and monitoring companies from accessing and collecting information.