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| Twimight | |
| Twimight icon | |
| Author: | Theus Hossmann |
|---|---|
| Developer: | Theus Hossmann, Paolo Carta, Franck Legendre, Dominik Schatzmann, and others |
| Initial release: | April 2, 2013 |
| Latest release: | 0.9.3 / Template:Start date and age |
| OS: | Android 2.3.3 Gingerbread and up |
| Platform: | Android phones |
| Available language(s): | English, German/Swiss German, French, Italian, Spanish, Romanian, Serbian, Hebrew |
| Use: | Twitter client |
| License: | GNU GPL v3 |
| Website: | Template:URL |
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:.