This document discusses using social media for emergency response during the 2011 Thailand floods. It analyzed over 64,000 tweets with the hashtag "#thaiflood" and categorized them into situational announcements, support announcements, requests for assistance, requests for information, and other comments. It identified the top influential users based on the number of retweets. While social media provided benefits like fast information dissemination, challenges also existed in aggregating and validating information from social media during disasters.
This document discusses social computing and how it combines social experiences with computational tools. It defines social computing as including social media services like Facebook and Twitter, as well as technologies that enable collective intelligence, social network analysis, and analysis of social content. The document also discusses how crowdsourcing platforms like Amazon Mechanical Turk and reCAPTCHA enable collective problem-solving. Finally, it discusses how analysis of user-generated content on social media can provide useful insights into public opinions and preferences.
This document discusses using social media for emergency response during the 2011 Thailand floods. It analyzed over 64,000 tweets with the hashtag "#thaiflood" and categorized them into situational announcements, support announcements, requests for assistance, requests for information, and other comments. It identified the top influential users based on the number of retweets. While social media provided benefits like fast information dissemination, challenges also existed in aggregating and validating information from social media during disasters.
This document discusses social computing and how it combines social experiences with computational tools. It defines social computing as including social media services like Facebook and Twitter, as well as technologies that enable collective intelligence, social network analysis, and analysis of social content. The document also discusses how crowdsourcing platforms like Amazon Mechanical Turk and reCAPTCHA enable collective problem-solving. Finally, it discusses how analysis of user-generated content on social media can provide useful insights into public opinions and preferences.