The following info-graphic is pairing visuals with statistic to portray just how big big data really is and it is. The infographic discuss the number is internet-users, and Twitter and Facebook users. The graphic continues to discuss how big data will expand and grow even larger in users who use wireless internet and the project increase in the amount of digital content in the Libraries of Congress. The infographic appears to be directed towards individual business that are making the digital switch or to marketers who are adjusting their methods.
This info graphic is meant to appeal to our Logos. It suppose to be logical and and straight-forwards. I guess come could argue that it also uses Ethos as it appears to be shocking or convincing. It lacks Ethos, looking at this graphic I am completely unaware of where the data came from, who conducted the analysis, and why I am looking at it. The graphic also fails to address concerns and other areas where big data may expand, for example the medical and automotive industries. It also fails to address any digital divide within and between countries. Catherine D’ignazio discuss how we combat uncertainties in infographic in her article Feminist Data Visualization.
In this article D’ignazio discusses the lack of representation of minorities in charts and infographics due to flaws in research method, analysis, and stakeholder agendas. This data if often interpreted as true and go unquestioned. What is being presented as all-inclusive is often missing data from minority population. According to D’Ignazio to remove an uncertainy or bias in their infograghic the creator or researcher would need to reconsider and redesign data analysis methods to include populations that went unrepresented, in their case those with limited access to an internet connect or social media. They also need to consider how we can make up for populations that were never included in the study, in their case those without access to internet access or social media. Another step would be to recognize the stakeholders who both conducted and presented the charts and infographics. The infographic discussed above could have included any donors who contributed to the study to included who the study was conducted on behalf of. We need to realize the parties involved to understand why we are being presented with this data, is there a possibility that they creators could have bias towards the use the of social media for business purposes? Lastly, D’ignazio says we should develop a way for the under and miss-represented populations to question the results displayed. This is a little trickier seeing as it was a study published online, promoting online applications.
Shelley, CMA 