Tag Archives: Social Media

Tracking Anti-Smoking Campaign Effects Online

The use of social media has grown exponentially over the last several years.  In fact, most television programs and televised advertising have a social media component, designed to expand reach and engagement with the audience.   To date, the tobacco control … Continue reading

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Browsing “Disqus” Clusters

We are experimenting with the new “Disqus” API in house. In this video, I show results from a 5-day query against the public API for the term Syria. The 50,000+ results are drawn from a variety of mass media discussion … Continue reading

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Weibo Arrives @DiscoverText

After months of user anticipation, the Weibo API is now integrated into DiscoverText, our “do-it-yourself” text analytic solution for deriving insight from unstructured text. With over 300 million users, Weibo is the largest micro-blogging website in China. Its integration into … Continue reading

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Building a Social Sifter

Check out this video introducing our latest experiments creating custom social “sifters” to winnow down a lake of social media data and leave behind only those items that are truly responsive to your search. Great tool, or greatest tool ever? … Continue reading

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Why Try GNIP?

We asked folks signing up for the 2nd GNIP beta using DiscoverText why they were doing it. Here is a nice Wordle showing some of the common themes: We also asked for job titles. No surprise the professors lead the … Continue reading

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What is DiscoverText?

A 9-minute high-level overview of DiscoverText. Tweet This Post

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DiscoverText Introduces Tools for Random Sampling

DiscoverText is rolling-out an addition to its analytical toolkit: random sampling. The Web-service already offers an array of tools for text analytics and rigorous, team-based qualitative data analysis. These functions include the ability to code and annotate text, measure inter-rater … Continue reading

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Archiving Public Facebook Content: Technical & Legal Issues

This is an updated version of a very popular early video. It describes some of the technical and legal issues when you “Connect” with Facebook credentials to DiscoverText. The video offers instructions about privacy and demonstrates how you can use … Continue reading

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Why People Want GNIP’s Power Track Twitter Firehose

We have been delighted with the response to our call for beta testers to try the GNIP-enabled PowerTrack for Twitter.  You can still sign up. Round 1 of the beta test concludes on October 31, 2011. Even just testing the … Continue reading

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Apple Shake-Up, Part II: Tweets in Memoriam

On October 5th, the passing of Steve Jobs rocked the world. Millions were touched by the loss of one of the world’s great innovators who has firmly joined the ranks of Guttenberg, Franklin, and Edison. Over the 24 hours following … Continue reading

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Perry Loses Ground Post Debate

Prior to the CNN GOP Primary Debate last Tuesday, October 18, Texifter analysts had been collecting Tweets relating to every major Republican contender since late August. Earlier in the fall, we reported on the number of Tweets per candidate, which … Continue reading

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The Crazy Life of a Tweet

On the evening of May 1st, Osama bin Laden was killed in Pakistan. Over the following hours (and days), bin Laden was mentioned by millions across the twitterverse. Among the first of those tweets came from a young, gay, homeschooled … Continue reading

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Mining for Leads

Texifter is pioneering the use of machine-learning methods to harvest essential information from unstructured social media data. For example, Twitter feeds can generate top line and bottom line growth. This requires a text analysis tool that moves beyond simply displaying … Continue reading

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Bin Laden Tweets Take Center Stage at AoIR

On Tuesday, October 11th, Texifter Founder and CEO, Stu Shulman, will be attending the annual Conference of the Association of Internet Researchers in Seattle, Washington.  The Twelfth Annual AoIR Conference (you can follow it on Twitter @ #IR12) brings together … Continue reading

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Power Track for Twitter

It works! In less than 48 hours, the GNIP-enabled Power track for Twitter has pulled in more than a quarter million Tweets for the rule “Google”: 257, 284 to be precise, but that number changes faster than I can keep … Continue reading

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