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Sources & Estimations
The CO₂ and water usage figures are illustrative estimates. Actual environmental impact varies significantly based on user behavior, device, network conditions, data center efficiency, and energy mix. For detailed methodologies, please consult the linked sources. LinkedIn data based on user-provided information regarding video autoplay and pre-loading energy (0.1-0.7 kWh/hr, specific scenario of 0.2kWh/hr for 10min daily viewing by 10% of users leading to ~2GWh/day for video) and associated water use (1-5L/kWh). CO2 emissions for LinkedIn video estimated using a factor of ~220g CO2/kWh derived from provided AI training data.
- Tech Carbon Footprint: How Much Does Online Activity Contribute To Emissions? (General)
- Instagram: The Most Polluting Social Media Platform (Instagram CO₂)
- The Hidden Environmental Cost of Social Media (General Social Media CO₂)
- Why your internet habits are not as clean as you think (YouTube/Streaming CO₂ Estimates)
- The Carbon Footprint of TikTok (TikTok CO₂ Estimates - Conceptual)
- What is the CO₂ emission per ChatGPT query? (AI CO₂)
- How much energy does ChatGPT use? (AI Energy)
- AI's Water Footprint is Surprisingly Large (AI Water Usage - Stresses high variability)
- The growing water footprint of AI models in data centres (Nature Water) (AI Water Usage)
- CO2 Emissions of AI Training Models (AI Training CO₂)
- Personal footprint calculations are illustrative estimates.