Overcoming the Challenge of Data Governance in Social Media
Social media has become a top communications channel for government agencies and businesses alike. The Australian Taxation Office uses Twitter for providing brief news updates and raising awareness to online scams, while the Australia Post uses Facebook for engaging its 300,000-strong community with insightful and entertaining content. Social media plays a major role in keeping citizens informed by reaching them on the channels they’re most likely to be using.
Unfortunately, the use of social media in government agencies is not without serious challenges. Information can be misinterpreted, stolen and/or reused for malicious purposes, and it doesn’t take much for bowdlerised or even blatantly untrue content to spread to millions of other uses within a matter of seconds. There’s also the very real threat from within, as the Australian Federal Police found out when it unwittingly broadcast details of an operation to arrest a suspected North Korean agent in 20177.
The enormous size of modern data sets continues to drive the need for an automation-driven data-governance strategy in modern organizations.
Aside from the security and privacy challenges concerning social media, there’s also the fact that information comes from such a disparate range of difference sources, such as blogs, forums, wikis, instant messengers, social-bookmarking and content-curation services and, of course, the social networks themselves. Since agencies are accountable for their actions and decisions, just as any independent organization is, there’s a need to consolidate all data, regardless of the source, under a single data-governance strategy. There’s also the pressing question of how to manage the vast scale of data creation across social media channels, which is only going to get bigger. Achieving this by manual means alone is effectively impossible, both in terms of budgetary constraints and the number of working hours required. Fortunately, the right blend of technology can help agencies overcome this overwhelming challenge.
The Role of Automation
The biggest threats facing agencies today and the data they’re responsible for are human error and malicious actors, either within or outside of the organization. As data sets become impossibly large for manual processes alone to audit and archive, there’s also a greater need than ever for automation in the information-governance process. Government agencies and other organizations need full visibility into their information to maintain its authenticity and guard against data leaks. Achieving this mission-critical goal requires a platform that can draw data from a wide variety of sources to proactively guard against leaks, determine the authenticity of content on third-party platforms and manage the full lifecycle of digitized information.