Profiling Online Social Network Platforms: Twitter vs. Instagram

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dc.contributor.authorAyora, Veruska
dc.contributor.authorHorita, Flávio
dc.contributor.authorKamienski, Carlos
dc.date.accessioned2020-12-24T19:34:12Z
dc.date.available2020-12-24T19:34:12Z
dc.date.issued2021-01-05
dc.description.abstractOnline Social Networks (OSNs) have been increasingly used as a source of information for different applications, ranging from business, politics, and public services. However, there is a lack of information on the behavior of OSN platforms related to the completeness and agility of data that may impact big data processing and real-time services. In this paper, two of the most widely used social networks, Instagram and Twitter, are investigated to broaden the understanding of how the characteristics of each platform can influence the quality of data that can be collected. We performed a series of experiments to emulate data posting and collection automatically. Our results show that both platforms can deliver data with reasonably low latencies and high completeness, but Twitter can be up to eight times faster when it comes to multimedia messages.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.341
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70955
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Methods
dc.subjectdigital methods
dc.subjectinstagram
dc.subjectonline social networks
dc.subjectplatform assessement
dc.subjecttwitter
dc.titleProfiling Online Social Network Platforms: Twitter vs. Instagram
prism.startingpage2792

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