11:00 AM
to 12:00 PM
#FAIL: Infamous Social Media PR Disasters
113 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Marla Erwin
event::about #Amazonfail, United Breaks Guitars, Motrin Moms: These are just a few of the social media PR disasters caused by inattention, poor service, or a failure to understand the target market. In the age of blogs, Twitter, Facebook, and YouTube, one customer service mistake can be all over the web before you can say “non-apology form letter.” Enjoy a history of edifying and often hilarious social media misfires, and learn how to avoid being on the receiving end of user-generated campaigns that can cost thousands or even millions in bad publicity.
12:30 PM
to 1:30 PM
Dining Out in the Digital Age
36 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Mani Dhillon, Brian Canlis, Kelly Winters, Michael Shim
event::about New mobile devices, local apps, social media, rich media (from YouTube to Flickr) have transformed the way that consumers communicate with and about their favorite local businesses, and also the way that businesses reach out to audiences and manage their reputation. This panel will examine how local/mobile/social technologies and consumer behavior are changing the way we do business, what businesses need to do to become more plugged in, and which companies are driving innovation in the space.
event::tags Solo
3:30 PM
to 4:30 PM
Using Text to Predict The Real World
26 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Noah A Smith, Philip Resnik
event::about How can we use text to tell us what is happening in the real world? Text-driven forecasting is the challenge of making concrete, testable predictions about future events and trends from publicly available text data. Text-based modeling methods make it possible to discover the agendas and attitudes behind the words people use. In this panel, we consider some recent success stories that use various kinds of text (expert-written analysis, blog posts, tweets) to tell us interesting things about the future and about the people behind the texts in various domains (finance, political discourse, and public opinion polls). Session co-organized by the McCombs School of Business and the Center for Research in Electronic Commerce (CREC).
event::tags Dual, #textworld
5:00 PM
to 6:00 PM
How Brands Are Monitoring Your Online Conversations
39 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Michael Fisher
event::about It’s a reality that digital word of mouth is here; and it is here to stay. Millions of online conversations are happening, yet until now, brands have struggled to find a way to measure the quantity or quality of those interactions. Did you post on your friend’s Facebook wall asking if they want to grab a burger at Red Robin? Or tweet about what awful service you received while waiting on hold for 15 minutes with your credit card provider? Or comment on a blog a post about your desire to buy a new pair of True Religion jeans? Well, people are listening. And reacting -- more than ever before. Unlike in the past, brands are now faced with the ability to harness word of mouth via social media. Consumers are helping to shape that brand perception, whether they know it or not. So what are brands tracking today, and what should they be tracking? Knowing how advertising dollars successfully translate to the social world can be tremendously powerful information, for example. Is Snickers or Bud Light most successful with its SuperBowl commercial? Plenty of conversations happened online -- were you one of them? Michael Fisher will leverage his deep expertise on this subject to reveal how the content and conversations happening online today are often coordinated, measured, and analyzed across all channels. How can the consumer leverage this channel to connect with brands in a more one-to-one manner. and how can the brands successfully communicate back?
event::tags Solo
11:00 AM
to 12:00 PM
Online Reputation in (and across) Context(s)
25 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Bill Johnston, F. Randall Farmer
event::about Reputation is a key dimension of online identity, but the concept of online reputation is often misunderstood and abused. There is tremendous opportunity in creating an online reputation framework for your organization's online presence, but also great risk in getting it wrong. This co-presentation will explore best practice examples from different fields related to reputation systems, discuss the difficulty in meshing disparate contexts, and finally, discuss how to create a framework that is valuable to both your organization and your community.
event::tags Panel, #repinctxt
12:30 PM
to 1:30 PM
Sentiment of Two Women: Sentiment Analysis & Social Media
14 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Lillian Lee, Bo Pang
event::about "What do other people think?" has always been an important consideration to most of us when making decisions. Long before the World Wide Web, we asked our friends who they were planning to vote for and consulted Consumer Reports to decide which dishwasher to buy. But the Internet has (among other things) made it possible to learn about the opinions and experiences of those in the vast pool of people that are neither our personal acquaintances nor well-known professional critics --- that is, people we have never heard of. Enter sentiment analysis, a flourishing research area devoted to the computational treatment of subjective and opinion-oriented language. Sample phenomena to contend with range from sarcasm in blog postings to the interpretation of political speeches. This talk will cover some of the motivations, challenges, and approaches in this broad and exciting field. Session co-organized by the McCombs School of Business and the Center for Research in Electronic Commerce (CREC).
event::tags Dual, #sxswsentiment
3:30 PM
to 4:30 PM
OMG, My Customer’s Pissed and Uses Twitter
42 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Rob LaGesse
event::about Too many customers are sitting listening to hold music waiting for their problem to get resolved. Instead of stewing privately they are now airing their grievances publicly. To anyone and everyone that will listen. The BP oil spill and Toyota recalls have showed us how people are using social media tools to give pissed off customers a new voice – and it’s a megaphone. Knowing your customer and understanding how to address everything from a crisis to the everyday question quickly and effectively is critical. Learn about some of the biggest flubs from 2010, how the ball was dropped and what could have been done differently. Don’t make the same mistakes they did. Learn how not to mess up.
event::tags Panel
5:00 PM
to 6:00 PM
A Twitter Based Prediction Market
39 schedule::attendees
Location
AT&T Conference Center, Room 203
eventtype Panel, Interactive
Speaker Huaxia Rui, Liangfei Qiu
event::about Information aggregation mechanisms are designed explicitly for collecting and aggregating dispersed information. A best example of utilizing such kind of "the wisdom of crowds" is prediction market. The purpose of our project is to suggest that carefully designed market mechanisms can elicit dispersed information, which will improve our prediction. In a prediction market, payoffs are tied to the outcomes of future events and one typically trades a security that pays $1 if a specified event occurs. Generally speaking, participants are compensated for accuracy in forecasting. Many business examples share the following characteristic: small bits and pieces of relevant information exists in the opinions and intuition of diverse individuals. The prediction markets will produce reliable forecasts about sales, financial and accounting results by gathering small pieces of individual information. The development of the Internet provides us with a twitter based technology to design prediction markets. The information propagation in twitter community is a complex social network, and will improve people's predictions in prediction markets. Session co-organized by the McCombs School of Business and the Center for Research in Electronic Commerce (CREC).
event::tags Solo, #predictionmarkets
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