710 ITU‐T's Technical Reports and Specifications Without social networks, the ability for user‐generated content to propagate and penetrate the public sphere would be seriously hindered. Therefore, citizen journalism or citizen reporting is heavily tied to user generated content and media‐sharing services. Many governments have seen social networks and media‐sharing as ways to disseminate the same information to different individuals and social groups. For example, Cisco's infographic on the Internet of Things explains the connotation and also forecasts that by 2020, there would be 50 Billion 'things' connected to the Internet. These things are interconnection of objects ranging from PCs, mobile, TVs, cars, vending‐machines, cameras, alarm clocks, to even cattle and many more. The visual displays how these connected things could make a difference to daily lives. Along with multiple social networks presence: a Facebook page, a YouTube channel and so on. Many different governments and government agencies are now taking similar approaches to incorporation of social networks approaches like Facebook into their data and communication activities to promote access to and usage of open data. 5.5 Anonymization technology Known anonymization technologies are as listed: (1) Deletion of attributes (1.1) Attributes suppression To remove sensitive identifiers for protecting identification of personality. (1.2) Pseudonymization To replace sensitive identifiers or combinations of identifiers, such as name, date or birth to a code or number, etc.Hash function can be the candidate to calculate the code. (2) Change of attributes (2.1) Generalization To replace an attribute to a generalized value or higher word in concepts. For example, 10‐year steps, change cucumber to vegetables, etc. Rounding is a way of generalization. (2.2) Top/bottom coding To put together small or large values into one attributes. For example, those who are older than 100 years is changed to \">100\". (3) Perturbation (3.1) Micro‐aggregation After grouping the original data, each attribute of records in a same group is replaced by a representative value of the group. (3.2) Noise injection To add random noise into numeric attributes probabilistically. (3.3) Data swapping Stochastically swapping the values of the attribute between records. (3.4) Synthetic microdata To create artificial synthetic data to be statistically similar to the original data.