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Influenced by many factors and often limited by domain or geographical region, this technique has several drawbacks when a general state of QoE for the internet as a whole is prospected. To achieve such a general metric, we leverage user complaints that we observe in real-time in social media. Such approaches have been successfully applied for the monitoring of specific and single services. We aim to extend existing methods in order to create an overall metric, define an internet wide QoE baseline, monitor changes and hence, provide a context for assessing smaller scale findings against a ground truth. The contribution of this work is to demonstrate the feasibility of using social media analysis for generating a meaningful value for quantifying the actual QoE of the internet.<\/jats:p>","DOI":"10.1007\/978-3-319-60774-0_8","type":"book-chapter","created":{"date-parts":[[2017,6,16]],"date-time":"2017-06-16T12:23:19Z","timestamp":1497615799000},"page":"108-122","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards Internet Scale Quality-of-Experience Measurement with Twitter"],"prefix":"10.1007","author":[{"given":"Dennis","family":"Kergl","sequence":"first","affiliation":[]},{"given":"Robert","family":"Roedler","sequence":"additional","affiliation":[]},{"given":"Gabi Dreo","family":"Rodosek","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,17]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Ahmad, A., Floris, A., Atzori, L.: QoE-aware service delivery: a joint-venture approach for content and network providers. 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