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[2] [6] OTT television, commonly called streaming television, has become the most popular OTT content. [a] OTT bypasses cable, broadcast, and satellite television platforms—the media through which companies have traditionally acted as controllers or distributors of such content. This content may include shows and movies for which the OTT ...
Streaming television is the digital distribution of television content, such as and films and television series, streamed over the Internet. [1] Standing in contrast to dedicated terrestrial television delivered by over-the-air aerial systems, cable television, and/or satellite television systems, [2] streaming television is provided as over-the-top media (OTT), [3] or as Internet Protocol ...
Telco-OTT (Over-The-Top) is where a telecommunications service provider delivers one or more services across an IP network. The IP networks is predominantly the public internet although sometimes telco cloud run services delivered via a corporation's existing IP-VPN from another provider, as opposed to the carrier's own access network . [ 1 ]
Video on demand (VOD) is a media distribution system that allows users to access videos, television shows and films digitally on request. These multimedia are accessed without a traditional video playback device and a typical static broadcasting schedule, which was popular under traditional broadcast programming, instead involving newer modes of content consumption that have risen as Internet ...
The model was originally rooted in 1930s behaviourism and was largely considered obsolete for a long time, but big data analytics-based mass customisation has led to a modern revival of the basic idea. After that, a shift which rediscovered the relationship between media and people occurred and led to establishment of uses and gratifications ...
A data lake refers to the storage of a large amount of unstructured and semi data, and is useful due to the increase of big data as it can be stored in such a way that firms can dive into the data lake and pull out what they need at the moment they need it, [3] whereas a data stream can perform real-time analysis on streaming data, and it ...
Ribes et. al. argue there is a need for an interdisciplinary understanding of data as a historical artifact as a motivating aspect of critical data studies.The overarching consensus in the Computer-Supported Cooperative Work (CSCW) field, is that people should speak for the data, and not let the data speak for itself. The sources of big data ...
Compared to survey-based data collection, big data has low cost per data point, applies analysis techniques via machine learning and data mining, and includes diverse and new data sources, e.g., registers, social media, apps, and other forms digital data. Since 2018, survey scientists have started to examine how big data and survey science can ...