RT @RYP__: Much was said about internet measuring and manipulation during the 2016 election. 2020 seems to have forgotten these tools never…
RT @RYP__: Much was said about internet measuring and manipulation during the 2016 election. 2020 seems to have forgotten these tools never…
RT @RYP__: Much was said about internet measuring and manipulation during the 2016 election. 2020 seems to have forgotten these tools never…
Much was said about internet measuring and manipulation during the 2016 election. 2020 seems to have forgotten these tools never went away. This study measured homophily aka bonding and perhaps even tribalism in the 2016 political landscape. https://t.co/U
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnDkI0 #Elections #SentimentAnalysis #Twitter https://t.co/3v4LONfHqU
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnUW6A #SentimentAnalysis #Elections #Homophily https://t.co/cXEHHUsi32
This article talks about using sentiment analysis to analyze political tweets. They talk about using nodes to identify relationships. #smasp20 https://t.co/gsW8aE1VHX
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election: https://t.co/kZtkzfEznN
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnUW6A #OnlineSocialNetworks #Elections #SentimentAnalysis #Homophily https://t.co/ELUSKiJA1j
@borgdrone2o8 @DennisKBerlin @KompaLaw @SawsanChebli @TwitterDE Wurde bei den Wahlen 2016 eingesetzt. https://t.co/450Jb3ecXc
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnUW6A #OnlineSocialNetworks #SentimentAnalysis #Homophily https://t.co/MQNJ9pPhSB
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnUW6A #Internet #OnlineSocialNetworks #SentimentAnalysis https://t.co/F8XLAVPaiE
RT @jisa_: As far as the 2016 presidential election in the USA is concerned, Twitter users tended to present higher levels of homophily (te…
RT @jisa_: As far as the 2016 presidential election in the USA is concerned, Twitter users tended to present higher levels of homophily (te…
RT @jisa_: Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential el…
As far as the 2016 presidential election in the USA is concerned, Twitter users tended to present higher levels of homophily (tendency to bond with similar people) when there are reciprocal connections, similar speeches, or multiplex connections https://t.
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election https://t.co/Hd9XLnUW6A #OnlineSocialNetworks #SentimentAnalysis #Homophily #Elections https://t.co/Q3AyfxCQM9