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Datafication
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<h2 id="ideology">Ideology</h2><p> Datafication has an ideological aspect, called <i><a href="/facts/Dataism/mwjErVB8">dataism</a></i>: </p><blockquote><p>"The drive towards datafication is rooted in a belief in the capacity of data to represent social life, sometimes better or more objectively than pre-digital (human) interpretations."<a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a></p></blockquote> <h2 id="examples">Examples</h2> <p>Datafication is often applied to social and communication media. Some examples include how <a href="/facts/Twitter/VWwDNGUm">Twitter</a> datafies stray thoughts, as well as datafication of <a href="/facts/Human_resource_management/G2u0Setl">HR</a> by <a href="/facts/LinkedIn/Iq2IcNMt">LinkedIn</a> and others. </p><p>Other examples include aspects of the build environment, and design via engineering and or other tools that tie data to formal, functional, or other physical media outcomes. <a href="/facts/Data_collection/rEGBdDzj">Data collection</a> and processing for <a href="/facts/Optimal_control/9SmcQHjJ">optimal control</a> (e.g., <a href="/facts/Shape_optimization/zo4cdRG0">shape optimization</a>) is another example. </p> <h2 id="impact">Impact</h2> <a href="/facts/Human_resources/vSYnWaKX">Human resources</a> Data obtained from <a href="/facts/Mobile_phone/H3EcqD9h">mobile phones</a>, apps or <a href="/facts/Social_media/kUIkfpIA">social media</a> usage is used to identify potential employees and their specific characteristics such as risk taking profile and personality. This data will replace <a href="/facts/Personality_test/elzLWUmX">personality tests</a>. Rather using the traditional personality tests or the exams that measure the analytical thinking, using the data obtained through datafication will change existing exam providers. Also, with this data new personality measures will be developed.<a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a><a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a> Insurance and Banking Data is used to understand an individual's <a href="/facts/Credit_risk/6jbaLoAR">risk profile</a> and likelihood to pay a loan. <a href="/facts/Customer_relationship_management/Y74q0uXB">Customer relationship management</a> Various industries are using datafication to understand their customers better and create appropriate triggers based on each customer's personality and behaviour. This data is obtained from the language and tone a person uses in emails, phone calls or social medias.<a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a> <a href="/facts/Smart_city/RkmIVQC3">Smart city</a> Through the data obtained from the sensors that are implemented into the smart city, issues that can arise might be noticed and tackled in areas such as transportation, <a href="/facts/Waste_management/EKXuEqQU">waste management</a>, logistics, and <a href="/facts/Energy/wd8PrQM7">energy</a>. On the basis of <a href="/facts/Real-time_data/2QHvKISU">real-time data</a>, <a href="/facts/Commuters/TSqWntrF">commuters</a> could change their routes when there is a <a href="/facts/Traffic_jam/CTl1sfGX">traffic jam</a>. With the sensors that can measure air and water quality, cities can not only gain a more detailed understanding of the <a href="/facts/Pollution/JRagxumQ">pollution levels</a>, but may also enact new <a href="/facts/Environmental_law/wgFnMNQ6">environmental regulations</a> based on real-time data.<a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/Digital_citizen/Exw6uAkT">Digital citizen</a></li> <li><a href="/facts/Data_mining/AH53q5ac">Data mining</a></li> <li><a href="/facts/Data_science/AHYUo0Rn">Data science</a></li> <li><a href="/facts/Digitization/RRdE9Ma9">Digitization</a>/ <a href="/facts/Digital_transformation/c7c78R5Y">Digitalization</a></li> <li><a href="/facts/Digital_transformation/c7c78R5Y">Digital transformation</a></li> <li><a href="/facts/Big_data/XGtrVg4z">Big data</a></li> <li><a href="/facts/Ethics_of_artificial_intelligence/u7H0AbEV">Ethics of artificial intelligence</a></li> <li><a href="/facts/Big_data_ethics/THMe9s7k">Big data ethics</a></li> <li><a href="/facts/Machine_learning/e0w0XJTu">Machine learning</a></li> <li><a href="/facts/Mass_surveillance/GgAEJtso">Mass surveillance</a></li> <li><a href="/facts/Real-time_data/2QHvKISU">Real-time data</a></li> <li><a href="/facts/Surveillance_capitalism/0UfUXB4w">Surveillance capitalism</a></li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="https://www.i-scoop.eu/digitization-digitalization-digital-transformation-disruption/">"Digitization, digitalization and digital transformation: the differences"</a>. <i>i-SCOOP</i>. 2016-07-25. Retrieved 2019-06-17.</li> <li><a href="http://www.archaide.eu/documents/20181/128971/AIUCD-2017_Gattiglia.pdf/">"From digitization to datafication. A new challenge is approaching archaeology"</a>.</li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Newell, Sue; Marabelli, Marco (2015). "Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification'". Journal of Strategic Information Systems. 24 (1): 3–14. doi:10.1016/j.jsis.2015.02.001. S2CID 20948367. Retrieved November 1, 2022. <a href="https://www.researchgate.net/publication/315134740" target="_blank">https://www.researchgate.net/publication/315134740</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Cukier, Kenneth; Mayer-Schönberger, Viktor (2013). "The Rise of Big Data". Foreign Affairs. 92 (May/June): 35. Retrieved 24 January 2014. <a href="http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data" target="_blank">http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>O'Neil, Cathy; Schutt, Rachel (2013). Doing Data Science. O'Reilly Media. p. 406. ISBN 978-1-4493-5865-5. <a href="978-1-4493-5865-5" target="_blank">978-1-4493-5865-5</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>Mejias, Ulises A.; Couldry, Nick (2019). "Datafication". Internet Policy Review. 8 (4). doi:10.14763/2019.4.1428. <a href="https://doi.org/10.14763%2F2019.4.1428" target="_blank">https://doi.org/10.14763%2F2019.4.1428</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>Biltgen, Patrick; Ryan, Stephen (1 January 2016). Activity-Based Intelligence: Principles and Applications (1 ed.). Norwood, MA: Artech House. p. 151. ISBN 978-1-60807-876-9. Retrieved 6 May 2017. <a href="978-1-60807-876-9" target="_blank">978-1-60807-876-9</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>Cukier, Kenneth; Mayer-Schönberger, Viktor (2013). "The Rise of Big Data". Foreign Affairs. 92 (May/June): 35. Retrieved 24 January 2014. <a href="http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data" target="_blank">http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>Hintz, Arne; Lina Dencik; Karin Wahl-Jorgensen (2019). Digital citizenship in a datafied society. Cambridge, UK: Polity Press. p. 20. ISBN 978-1-5095-2716-8. OCLC 1028901550. <a href="978-1-5095-2716-8" target="_blank">978-1-5095-2716-8</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>Moore, Melissa. "Turning Personality Into Data". Mattersight, The Chemistry of Conversation. Mattersight Corporation. Archived from the original on 11 November 2017. Retrieved 5 May 2017. <a href="https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/" target="_blank">https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf [bare URL PDF] <a href="https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf" target="_blank">https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>Moore, Melissa. "Turning Personality Into Data". Mattersight, The chemistry of Conversation. Mattersight Corporation. Archived from the original on 11 November 2017. Retrieved 5 May 2017. <a href="https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/" target="_blank">https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf [bare URL PDF] <a href="https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf" target="_blank">https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> </ol>