Tweetgeist: Can the Twitter Timeline Reveal the Structure of Broadcast Events?

نویسندگان

  • David A. Shamma
  • Lyndon Kennedy
  • Elizabeth F. Churchill
چکیده

We explore applications for enriching experiences around live visual media events by leveraging conversational activity on short messaging services. We investigate the application of existing methods to discover the structure and content of media events and develop methods for exposing the discovered informational cues to users. We demonstrate these approaches using video footage and Twitter activity during two broadly watched media events: the first 2008 USA Presidential Debate and the Inauguration of Barack Obama. For the debates, we demonstrate a method for segmenting and annotating the media via conversational activity for the purpose of watching the video after the event has already passed. For the inauguration, we demonstrate approaches for exposing an awareness of the current topics of discussion on Twitter and the apparent levels of interest via a real-time feedback display. The primary contribution of this CSCW Horizons note is an initial exploration of approaches for applying cues mined from community conversation towards enhanced experiences around multimedia events and an invitation for a discussion of further approaches for applying these techniques to a growing number of domains and applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mining Concurrent Topical Activity in Microblog Streams

Streams of user-generated content in social media exhibit patterns of collective attention across diverse topics, with temporal structures determined both by exogenous factors and endogenous factors. Teasing apart different topics and resolving their individual, concurrent, activity timelines is a key challenge in extracting knowledge from microblog streams. Facing this challenge requires the u...

متن کامل

Real-Time Timeline Summarisation for High-Impact Events in Twitter

Twitter has become a valuable source of event-related information, namely, breaking news and local event reports. Due to its capability of transmitting information in real-time, Twitter is further exploited for timeline summarisation of high-impact events, such as protests, accidents, natural disasters or disease outbreaks. Such summaries can serve as important event digests where users urgentl...

متن کامل

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

What Were the Tweets About? Topical Associations between Public Events and Twitter Feeds

Social media channels such as Twitter have emerged as platforms for crowds to respond to public and televised events such as speeches and debates. However, the very large volume of responses presents challenges for attempts to extract sense from them. In this work, we present an analytical method based on joint statistical modeling of topical influences from the events and associated Twitter fe...

متن کامل

Twitter Activity Timeline as a Signature of Urban Neighborhood

Modern cities are complex systems, evolving at a fast pace. Thus, many urban planning, political, and economic decisions require a deep and up-to-date understanding of the local context of urban neighborhoods. This study shows that the structure of openly available social media records, such as Twitter, offers a possibility for building a unique dynamic signature of urban neighborhood function,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009