Discussion

Need Response 1:

The subcomponent of crowdsourcing ICT platform technological architecture  I would like to discuss is that gives additionally created an examination concerning public text information (for instance blog postings, comments, appraisals, etc.) and setting up this information sources using sentiment mining tools. The Web has changed the way wherein people express their emotions, offering them the capacity to post comments and reviews on business things and express their points of view on a a huge amount of issues in parties, talk get-togethers, visit rooms, long-broaden agreeable correspondence get-togethers and web diaries. This customer passed on the substance has been seen as a tremendous wellspring of business and political information. Notwithstanding, the tremendous the degree of this information and its normal language structure makes it difficult to remove the consistent areas, for instance, the general inclination/assessment (for instance positive, negative or sensible) on the particular subject (for instance a thing/affiliation or another methodology proposition) and the specific issues raised about it by the customers/visitors of these objectives. It is hidden motivation has been to enable firms to research online overviews and comments entered by customers of their things in various review districts, web diaries, social affairs, etc., in order to arrive at general judgments as for whether customers adored the thing or not (supposition assessment), and moreover continuously express finishes concerning features (traits) of the thing that has been commented on insistently or conflictingly (features extraction and examination).

This subcomponent performs three tasks, firstly it classifies the opinion text, a document which includes various declarations like a dialogue or a blog spot conveying a positive, negative or unprejudiced end. This is suggested as the record level evaluation examination. Secondly further focusing on sentence-level which deals with the gathering of a sentence as objective or passionate, it organizes each sentence in such a structure, that atmosphere it is a unique or targets (demonstrating whether it can express the inclination or not). For each sentence that is a conceptual (infers conveying an inclination) further, the portrayal is done as imparting an appositive, negative or unprejudiced supposition. Lastly extracting the most commented features of the commented articles, and for each commented feature further classification of relevant opinion is executed as positive, negative or unprejudiced.

References

Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol. 10). Springer

Need response 2:

nformation and communication technology platform has an important role to play in active crowdsourcing. A policy maker of a government agency initiates a campaign regarding a specific topic of a policy with the help of a mobile based application or dashboards so that a large number of citizens can be reached with the help of social media platform. It helps the citizens to have clear idea about the specific problem in a simplified way ad interact with it and assist the policy making in bringing further intervention to the content if required. This procedure assists the policy maker a lot in the process of decision and policy making. 

The ICT platform technological architecture has various components and subcomponents. One such subcomponent of the back-end component is the social media platform analytics. It helps the policy makers to analyze the data that has been gathered from the publishing component.

 In policy making, social media platform analytics is one such practice that helps the policy maker to gather a large amount of data from the social media and analyze it with the help of social media analytics tools so that proper information can be obtained for proper decision making. It acts to be an important part that helps the policy makers to understand the problems and the opinions of the citizens so that they can be easily identified and can be catered to. In addition to this, it also assists the policy makers in getting an unbiased opinion of the citizen for the procedure further (Ayodeji et al., 2019).

The main reason behind choosing this subcomponent to explain is it plays a major role in assisting the policy maker in making a decision regarding policies. It is a significant component because it helps to understand the interaction of the citizen and their requirements or opinions (Janssen, Wimmer & Deljoo, 2015).

Need response 3:

The idea of crowdsourcing was first practiced in private sectors like design and creative industries. Later this was deployed with other minor and major industries with an aim to solve the difficult and complex problems and design activities.  

     Later after longtime, government agencies started working with the crowdsourcing in aim to collect the knowledge, ideas, and opinions related to the complex and social problem, public policies which were implemented to address those issues.

     In this discussion, I will focus on the front-end area of the active crowdsourcing ICT platform technological architecture. The reason for me to select the front-end is because I think the front-end area plays a vital role by providing the view to the stakeholder and citizens.  

     The two main components of Front-end area are Dashboard and Container. The components in the dashboard communicate between stakeholders and backend. Stakeholders can view the data from the backend through various approaches listed below. The citizens are able to see the content of other citizens and content from each and every campaign in the form of textual comments. Citizens can see the content through the various modes like through the medium of social media or through some IOS or android application by mobile interface or some hand held gadgets like mobile devices or tablet. This enables stakeholder and citizens to provide comment and also add a new comment(s). Lastly, the front-end area provides web, mobile application, and widget interface to citizens and stakeholders. 

References:  

Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol. 10).