Big Data is one of the most discussed topics in Official Statistics. The potentialities of this new data source are relevant: Big Data can offer new macroeconomic now-casting opportunities for policy-makers, providing complementary and faster information on the state of the economy and its development. In particular, the combination of data from multiple sources can provide a better overview of the economic phenomena . Furthermore, in Official Statistics the integration of Big Data with traditional data sources is a challenging opportunity for the construction of social and economic indicators. Actually, it is unlikely that Big Data will completely replace survey-based activities: they can provide complementary and specific information about a topic or they can help to asses unmeasured or partially measured socioeconomic phenomena. At international level, the discussion about social indicators and in particular quality of life, well-being and beyondGDP activities is under constant debate. The measurement of the quality of life and wellbeing from an individual level perspective has become very important with the rise of “Social Indicators Movement” and social media represents a promising data source to study new topics and aspects. Within the European Statistical System, the “Quality of life indicators framework” has been developed to measure the quality of life considering not only the GDP, but also other complementary and subjective aspects. However, it is a static measure and the opportunities deriving from Big Data and, in particular from social media analysis is that we obtain dynamic indicators that show the changes over time and the reaction of people to particular events. On the other hand, new issues are rising. For example, social Big Data indicators “usually do not correspond to any sampling scheme and they are often representative of particular segments of the population”. The purpose of this paper is to use Twitter data to study social interactions and to provide an indicator of active citizenship. This is an on-going research, composed by two phases. The first one, which is already concluded [6], focuses on evaluating the overall quality of an analysis based on social media. To this purpose, we develop a case study focused on sentiment analysis of Twitter data, we discuss the possible sources of errors and how to get evidence of them as well as the users’ behaviour. The second phase focuses on the development of an active citizenship indicator: “contact with politicians” based on the framework proposed by Sánchez et al. . Then, we perform an in depth analysis to study the network relationship among users and topics discussed. More information are provided in the next section