Blends are combinations of two – or, more rarely, three – source words into one through concatenation of clipped morphological material and/or phonological overlap as in smog (< smoke + fog). Even though lexical blending is not a recent word-formation mechanism whatsoever, in the article entitled ‘‘Blended’ Cyber-Neologisms’ Amanda Roig-Marín argues that the coinage of blends in the semantic field of technologies uniquely responds to the speaker’s need to convey the blended realities that have begun to characterise present-day technological devices and related phenomena (e.g. Dronestagram (< drone + Instagram) ‘posts of aerial pictures’ or twimmolation (< Twitter + immolation) ‘the ruin of a person’s reputation because of insensitive Twitter posts’).
This study examines data collected over the period of fifteen years (2000-2015). Since dictionaries cannot keep up with the constantly increasing number of lexical items coined, the author made use of two online neologisms databases, namely Word Spy and The Rice University Neologisms Database, to retrieve truly novel blends. She firstly contextualises this type of cyber-blended words and explains why lexical blending is preferred over simple clipping or compounding. Subsequently, she offers a taxonomy of cyber blends according to the morpho-semantic patterns of these new words.
Likewise, she forecasts the formation of a paradigm akin to what Frath (2005) calls “hamburger type”, that is to say, that some word components such as those based on blog and twitter/tweet (as in vlog (< video + blog) ‘a blog in which the posting takes the form of videos’ or twitchfork (< Twitter + pitchfork) ‘an organised campaign on Twitter to express discontent or attack targets’) can achieve autonomy and thus start to be used productively, as it also happened with the sequel series (e.g. interquel and prequel) or the literati series (digerati, glitterati, etc.).