Client‐side energy and GHGs assessment of advertising and tracking in the news websites.
Electronic devices consume energy both in the production and the use phase. Furthermore, the "hidden" impacts linked to their use are not frequently assessed and they depend on the behavior of the users, besides the servers and complex web networks. It must be underlined that many websites employ ad...
| Publicado en: | Journal of Industrial Ecology Vol. 27; no. 2; pp. 548 - 562 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=163190447&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 163190447 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10881980 FL1 jtl: Journal of Industrial Ecology issn: 10881980 maglogo: Y pubinfo: dt: Apr2023 vid: 27 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 163190447 10.1111/jiec.13376 ppf: 548 ppct: 14 formats: tig: atl: Client‐side energy and GHGs assessment of advertising and tracking in the news websites. aug: au: Pesari, Fabio Lagioia, Giovanni Paiano, Annarita affil: Department of Economics, Management and Business Law, University of Bari Aldo Moro, Largo Abbazia Santa Scolastica, Bari, Italy su: Personal computers Open source software News websites Internet servers Object tracking (Computer vision) Purchasing power parity Computer performance sug: subj: Personal computers Computer and peripheral equipment manufacturing Electronic Computer Manufacturing Data Processing, Hosting, and Related Services Internet Publishing and Broadcasting and Web Search Portals Open source software News websites Internet servers Object tracking (Computer vision) Purchasing power parity Computer performance keyword: bottom‐up methodology energy consumption GHG emissions ICT industrial ecology online advertising bottom‐up methodology energy consumption GHG emissions ICT industrial ecology online advertising ab: Electronic devices consume energy both in the production and the use phase. Furthermore, the "hidden" impacts linked to their use are not frequently assessed and they depend on the behavior of the users, besides the servers and complex web networks. It must be underlined that many websites employ ads and trackers as part of their monetization strategy and, in order for online ads and trackers to work, they add an additional code to be executed on the users' machines, which in turn requires more processing power. Considering that the Internet had an estimated 4.9 billion users in 2021, the global energy and carbon impacts of online ads and trackers might be significant. To investigate this phenomenon, we designed a novel automated framework for bottom‐up estimation of greenhouse gas (GHG) emissions attributable to software using exclusively free and open source software. Our process involved the building of a random sample of global news websites which we visited with and without an ad‐blocker, each time collecting power usage in identical conditions. The gathered data were put into an ordinary least squares (OLS)‐based linear regression model, which showed that ads and trackers on news websites require on average an additional 6.13 W of power on personal computers. This result was then tuned to global environmental and technological parameters to estimate that in 2019, on the client side, ads and trackers on the news websites consumed 0.61 TWh of electrical energy, emitted 0.29 MtCO2eq of GHG, and cost all Internet users approximately 140 million USD (purchasing power parity) of electrical energy. This article met the requirements for a gold‐gold JIE data openness badge described at http://jie.click/badges. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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