Information Technology Reference
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expose a more general issue with microblogging systems that convert between
different types of media. These systems should allow content creators to prescribe the
ways with which their messages will be rendered in different modalities. This could
possibly create conflicts with the consumers of these messages. Another issue
concerned the placement of spoken messages in the audio stream. Currently, all
messages are rendered as soon as they are received and message speech is often
mixed with the current audio track. Users suggested rendering the spoken messages
between audio tracks similar to what happens to commercials in entertainment radio.
In terms of related work there exist a number of apps that read aloud content from
social network sites (e.g. iHear, Flipboard or SpokenLayer). However these apps do
not enrich the content in some meaningful fashion the way TwitterFM does.
TwitterFM is one of a number of web applications that perform post processing on
Twitter messages in order to enrich or customize their content. Similar applications
with TwitterFM in this category include SocialAudio and SocialRadio. TwitterFM
differs from both systems as it provides a radio-band analogy for organizing the
hashtags selected by the user and in that it provides a synchronous textual
presentation of tweet content enriched with affective analysis. There has been
significant interest in the automatic generation of music playlists (e.g. [2]) and, very
recently, for original music synthesis in social broadcasting ([3]).
Fig. 1.
TwitterFM user interface
Acknowledgements.
Presentation of this paper was partially supported by the
University of Piraeus Research Center.
References
1.
Kalaitzidis, T.: Development of a social TTS application, M.Sc. Thesis, Dept. of Digital
Systems, University of Piraeus (December 2013)
2.
Coelho, F., Devezas, J., Ribeiro, C.: Large-scale Crossmedia Retrieval for Playlist
Generation and Song Discovery. In: Proceedings of the 10th Conference on Open
Research Areas in Information Retrieval, Portugal (2013)
3.
Moreale, F., de Angeli, A., Miniukovich, A.: TwitterRadio: Translating Tweets into
Music. In: CHI 2014, Canada (2014)
