How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This talk introduces the audience to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. The talk is built around recent research by leading scientists in the area of social media analysis. Depending on time constraints and the audience’s interest any of the following, or additional topics will be discussed. (i) Political opinion: Can Twitter be used to forecast elections? What can we learn about increasing political polarization in a country? (ii) Socioeconomic indicators: Do tweets predict the stock price? Can we infer current unemployment rates by looking at Twitter? (iii) Public health: Can flu outbreaks be monitoring by looking at social media? What can we learn about obesity rates by mentions of food online? (iv) Disaster monitoring: In the aftermath of an earthquake, can we quickly derive damage estimates from tweets? Does Twitter contain information relevant to emergency responders? This talk is loosely built on a book of the same title, co-edited by Dr. Weber.
About this LectureNumber of Slides: 40 - 100
Duration: 45 - 120 minutes
Languages Available: English
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.