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'''Twimight''' was an open source [[Android (operating system)|Android]] [[Client (computing)|client]] for the [[social networking]] site [[Twitter]].<ref name=":0" /> The client let users view in real time "tweets" or [[micro-blog]]ging posts on the Twitter website as well as publish their own. | '''Twimight''' was an open source [[Android (operating system)|Android]] [[Client (computing)|client]] for the [[social networking]] site [[Twitter]].<ref name=":0" /> The client let users view in real time "tweets" or [[micro-blog]]ging posts on the Twitter website as well as publish their own. | ||
Latest revision as of 18:49, 29 September 2026
Twimight was an open source Android client for the social networking site Twitter.[1] The client let users view in real time "tweets" or micro-blogging posts on the Twitter website as well as publish their own.
Added value
In addition to being a fully functional, ad-free and open-source [2] Twitter client, Twimight allowed communication if the cellular network is unavailable (for example, in case of a natural disaster). Twimight was also equipped with a feature called the "disaster mode",[3][1][4] which users could enable or disable at will. When the disaster mode was enabled and the cellular network was down, Twimight used peer-to-peer communication to let users tweet in any circumstance. Enabling the disaster mode enabled on the phone's Bluetooth transceiver and connected the user to other nearby phones.[5] This created a mobile ad hoc network or MANET, which could be used, for example, to locate missing persons even when the communication infrastructure had failed.
History
Twimight started out as a project for a Master thesis at ETH Zurich in the spring of 2011.
References
- ↑ 1.0 1.1 Template:Cite conference
- ↑ Theus Hossmann (2013-04-22). "Twimight: The mighty open source Twitter client for Android!". Google Code. http://code.google.com/p/twimight/.
- ↑ Template:Cite conference
- ↑ "SCAMPI application TWIMIGHT in Google Play". ICT-SCAMPI. 2013-04-18. https://facelab.mobi/beauty.
- ↑ Gostu Venkata Lakshmi Deepthi; Tumati Naga Sai Mahitha; Karamcheti Tirumala Monika; Anusha Sanampudi (2021-04-05). "Detecting Rumors from Blogging Sites using Recurrent Neural Networks". IJERT. doi:.