… of the whole community - authors, reviewers, sponsors, steering committee and conference
organizers - we have seen ICWSM evolve into the premier venue for social media research. …

… We observe that another important factor that heavily influences a social media user’s
published content is her age. For example, using standard LDA, we find that a popular topic in our …

… Social media has become one of the main channels for peo… However, such properties of
social media also make it a hotbed of … In Eighth International Conference on Weblogs and Social …

… have focused on sentiment analysis and opinion mining on social media. Due to some
intrinsic characteristics of the texts produced on social media sites, such as the limited length and …

… Fake news spreading in social media severely jeopardizes … Therefore, the iterative solution
(8) is proved to converge to the … Experiments Data Set News verification on social media is a …

… Recent work has shown the utility of social media data for studying depression, but there …
We also present a novel method to obtain a PTSD classifier for social media using simple …

… Since many social networking sites do not allow users to share information anonymously,
it … features of social media content, namely its controversiality and level of social endorsement, …

… To start with, we first create an 8-dimensional vector for each user (since we have 8 … Within
each cluster, the histograms indicate the proportion of each of the 8 content categories. The …

… Vader: A parsimonious rule-based model for sentiment analysis of social media text. In
Eighth international AAAI conference on weblogs and social media. …

… The emergence of big data from social media has had impacts in the study of human … This
paper examines methodological issues and questions of inference from social media big data. …