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Data visualisation has impacted the way people are informed and influenced…
Data visualisation has impacted the way people are informed and influenced in society
Data visualisation illiteracy leads to greater levels of misinformation and oversight: being poorly influenced
Stray from interpretative frameworks
Data deluge vs. crawford
affordances of technology
Lack of critical lens when understanding interpretations
Polling examples, quinoa line
Blur of ethical guidelines, impacting ethical practices. Leading to higher harm, risk, misrepresentation
OKCupid, Facebook emotional cognition
Lack of knowledge of visualisation tools
Big data facilitates a greater level of information through data visualisation
New insights in journalism that are communicated to society, leading to greater social awareness
Trump Tweets
bridge between analytics and storytelling, offering higher accessibility and therefore, awareness
To mitigate the threats/problems of data visualisation
Greater levels of education to increase data literacy to minimise deceptive visualisations and improved transparency
Shift toward encouraging data viz to stimulate inquisition from users
Which candidates spoke the longest
Greater levels of regulation
Accelerates the rate at which people expect and digest information in society
Dehumanisation and disconnect from real life situations with Big Data sets
People as dots article
Combined with lack of critical lense - absorb and digest knowledge rapidly
latte line?
Changes to the process of decision making
Essential part of business, policy making etc.
Impact on expectations: expect dataviz for persuasion and validation of analytics
Mode of politics
Increased dependency on data visualisations among masses of data
Inequality in who can access data. Therefore, some important data analytics, i.e. data which affect social/political sphere, cannot be access and shared.