Language dynamics in social media
Animesh Mukherjee
Indian Institute of Technology, Kharagpur
SWS Colloquium
13 Dec 2018, 10:30 am - 11:30 am
Kaiserslautern building G26, room 113
simultaneous videocast to Saarbrücken building E1 5, room 105
simultaneous videocast to Saarbrücken building E1 5, room 105
In this talk I shall outline a summary of our five year long initiative
studying the temporal dynamics of various human language-like entities over the
social media. Some of the topics that I plan to cover are (a) how opinion
conflicts could be effectively used for incivility detection in Twitter [CSCW
2018], (b) how word borrowings can be automatically identified from social
signals [EMNLP 2017] and (c) how hashtags in Twitter form compounds like
natural language words (e.g., #Wikipedia+#Blackout=#WikipediaBlackout) that
become way more popular than the individual constituent hashtags [CSCW 2016,
Honorable Mention].