Seite - 65 - in Critical Issues in Science, Technology and Society Studies - Conference Proceedings of the 17th STS Conference Graz 2018

• Assess costs of each control and deploy optimally as per the value accrued. • Monitor and review whether sufficient value has been accrued through netizen feedback, sentiment analysis, and social analytical tools. The value, threat and control parameters have to be continually tweaked till satisfactory results are obtained. Validation Criteria The validation criteria for a framework such as one described above is highly subjective and therefore to assess efficacy, it must be longitudinal in nature. It is critical that the same set of respondents assess the efficacy of controls as those who recommended the value criteria. Validation of a framework that is based on risk management concepts is empirical. The subjectivity of the sociological perspective is compounded by the personal bias of the netizen. Sjoberg (1999) claims that people tend to evaluate validity of a risk assessment on a large set of criteria; not all of which are universally applicable. Klinke (2002) feels that if public concerns are to be accepted, public studies should be the major heuristic rule for selecting the relevant criteria. The main criteria as relevant to this study are: 1) relative priority of threats; 2) credibility with the netizen; 3) risk aversion as a psychological phenomenon; and 4) degrees of trust and agreement amongst the various stakeholders. The internet tools of polling may be used for obtaining the ‘voice of the netizen’. Advance analytics and big data processing techniques that are based on stochastic evaluation methods may be used to analyze the vast amount of web traffic to ascertain netizen sentiment. A time series analysis is preferable. Norms delineating stakeholder responsibility for deployment of specific set of controls must be specified and disseminated. Conclusion An attempt to resolve the social dilemmas emanating from the internet is primarily an interdisciplinary field of study. A more detailed study of the inter-relationship cost, efficacy, and the regressive risk involved in the deployment of controls may be carried out by use of techniques such as chi-square testing, multiple regression and multidimensional scaling. Data science algorithms based on statistical techniques need to confirm that the severities of threats and the efficacies of controls are effective from the perception of the netizen community. Any pilot study to that end must be a longitudinal, time series study with representative sample sizes. The benefit of expert opinion and experience may be accrued by the use of the Delphi technique in enhancing the integrity and reliability of the model as mentioned by Whitman and Mattord (2003) Only after due validation of its efficacy on the sample size (or necessary modifications therein) should it be deployed en masse; and even then constant monitoring and periodic review is required. Internet technology enables this. In this paper there is an amorphous delineation between value parameters, threats, and control efficacy. For realistic efficacy the delineation must be defined more lucidly. This is necessary if the framework is ever to be developed, tested, deployed and be useful. Appendix ‘A’ Research Survey Questionnaire: Basic Rights on the Internet This research survey attempts to determine citizen opinion as to the extent the basic rights of the Indian citizen are threatened on the internet. On a scale of 1-10 (10 being the highest), please 65