Event Analytics on Social Media: Challenges and

Transcript:Event Analytics on Social Media: Challenges and:
Event Analytics on Social Media: Challenges and Solutions Yuheng Hu Committee Members Dr. Subbarao Kambhampati, Chair Dr. Eric Horvitz, Dr. John Krumm Dr. Huan Liu Dr. Hari Sundaram Since the dawn of civilization, people congregated in town squares to discuss events The emergence of social media has now created a sprawling virtual town square, whose scope is vast, and whose chatter can be captured! opening exciting possibilities for analyzing what people are actually saying.. debate i-5 bridge collapse Superbowl Obama’s selfie Which part of the event did a tweet refer to? What’s the relation between event and tweets? What were the topics of the event and tweets? What were the sentiments of the event elicited on tweets? How to characterize the crowds’ tweeting behavior How to detect an event from social media responses ? How to predict the crowds' engagement in future events How to distill insights about event based on social media responses How to predict future development of event How to predict crowds’ engagement in future event How to find social media responses about the events How to model relations between event and its responses How to link social media responses to events How to infer topics and sentiments of social media responses How to characterize the crowds’ behavior in response to events How to address these challenges? Computational Journalism Political Campaign Potential applications “Fox News Unveils New State-Of-The-Art Newsroom” – the Verge, Oct 17, 2013 The event master The fact: vast amounts of social media responses Tweets volume on Egypt & Morsi 12k ~ per hour We need automated solutions! Event Analytics on Social Media Most existing event analytics solutions are primitive. Simply combining other solutions ignores connections between events and responses Given the vast amounts of social media responses and complex nature of events, we need automated tools to conduct in-depth analysis In this proposal, we present Eventics Task 1: Event sensemaking Task 2: Event recognition Task 3: Event engagement prediction Trending events with associated Twitter responses Predict user’s engagement in future events Event topics, segments, Event-tweet alignment, Event sentiments ET-LDA [AAAI’12, ICWSM’12, MMW’12] Specific Specific Specific General Specific General Specific General General ET-LDA [AAAI’12, ICWSM’12, MMW’12] Frequency of specific tweets Event-tweets alignment Evolution of specific tweets SocSent [IJCAI’13] Fire happened at 5 St and Pike, heard sirens, lots smoke DeMA [CHI’13] Alice [under review] Hey Mike: we found this event may be of interest to