Please note that the PDF slides shown in the lecture are available as a PDF file under the download tab.
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].
This video may be embedded in other websites. You must copy the embeding code and paste it in the desired location in the HTML text of a Web page. Please always include the source and point it to lecture2go!
Please click on the link bellow and then fill out the required fields to contact our Support Team! RRZ Support Link