Texifter was the first company to join as a paying customer in the alpha “Snapshot” offering from Gnip. You can still take part in that alpha by submitting a request for a free estimate of a snapshot from Twitter’s complete history. This is, however, a very fast-moving landscape for for social # bigdata. We are quickly transitioning from the alpha “Snaphot” tests to the beta of a cradle-to-grave system for building estimates for the cost of text analytic projects that feature either the real-time day-forward, Gnip-enabled PowerTrack (the Twitter fire hose), or the new historical PowerTrack. So if you have ever wished you could go back in time and collect all the tweets from an epic moment in history, your wish just came true. Contact us if you have any questions and submit a request for a free estimate today.
Texifter’s most recent historical Twitter prize winners include three from the United States, one from Great Britain, and one from France. Winners receive Enterprise access to DiscoverText for six months, and Sifter credit for up to three historical Twitter days and 200,000 tweets. The following is a snapshot of the most recent winners and their proposed research projects. Diana Ascher PhD student in the Department of Information Studies at UCLA @dianaascher “Helping Companies Streamline Information” Ascher proposes exploring cultural time orientation by analyzing the Twitter feeds from three news organizations to better understand how “information agents’ cultural backgrounds affect corporate information practice,” and specifically how organizations decide what information to share and when. Ascher hopes the research will help businesses streamline their information activity and routines, and help managers understand “how employees decide what’s important and what’s not.” Stephen Barnard Assistant Professor in the Sociology Department at St. Lawrence University @socsavvy “Better Understanding Journalism via Boston Marathon Bombing Twitter Data” Barnard plans to use Sifter to collect and analyze Twitter data about the 2013 Boston Marathon bombings. He will use Twitter’s PowerTrack filters to conduct a detailed search of Tweets that reported on the bombing, and compare the results to the responses from professional and citizen journalists. “I hope to gain a better understanding of the reporting processes and outcomes emerging from both groups,” Barnard writes, adding that he will use the findings to “highlight the structural relations of the emerging journalistic field.” Oliver Haimson PhD Student in the Informatics Department at University of California, Irvine @oliverhaimson “Analyzing Hashtags” Haimson’s plans to use the prize to analyze the hashtags #nymwars and #mynameis, which were used in 2011 and 2014 to critique Google’s and Facebook’s “real name” policies. He plans to evaluate the Twitter data from these two hashtags “using computational linguistics, qualitative coding, and social network analysis.” Omar Jaafor PhD Student in the Department of Operational Research, Applied Statistics and Simulation at University of Technology of Troyes @lmhasher “Developing Algorithms for Social Networks” Jaafor and fellow researchers will use the prize to continue to develop “clustering and anomaly detection algorithms for social networks in a big data environment.” Wasim Ahmed PhD Student in the Health Informatics Research Group at the University of Sheffield’s Information Department @was3210 ” Responding to Infectious Disease Outbreaks” Ahmed will use his prize to “study how users respond to outbreaks on infectious diseases on social media platforms, such as Twitter.” He plans to use his data towards his PhD “Pandemics and epidemics: User reactions on social media and Web 2.0 platforms.” For more information on the Texifter’s social data offer and text analytics tools, please send us an email firstname.lastname@example.org. Better yet, sign up for a free 30-day trial and start collecting your own social data today.
We need beta testers to close out our first year of new product development. Our tool Sifter is used for searching the complete “undeleted” history of Twitter. It allows the user to get a free estimate of the size and cost of a data license. Sifter supports keyword and metadata filters as well as complex Boolean formulations, all powered by the Gnip PowerTrack. We are offering a prize drawing for anyone (not limited to academics) who gets onto Sifter between today December 2, 2014 and the Winter Solstice on December 21, 2014 and completes the following three steps:
- Create a valid Sifter estimate for no more than 3 Twitter days resulting in no more than 100,000 results. Depending on the keyword or hashtags, this may take some trial and error and possibly use of the sampling filter. We’d very much like you to iterate through various free estimate attempts. Once you are logged in, it takes between 30 seconds and 2 minutes to create a valid estimate, depending on the complexity of your rules.
- Tweet about the experience including @texifter in the body of the Tweet.
- Send us a brief email about how Sifter could be improved (email@example.com) and please include a link to your Tweet.
The prize drawing will take place December 22nd. The drawing is limited to one entry per Twitter account. An individual or organization with multiple Twitter accounts can enter multiple times, however, an individual or organization can win only one prize. We will award five equal prizes in December. The winners will be able to get new estimates for up to 3 Twitter days and no more than 200,000 tweets. Texifter will pay the license fees and the winners will have access to the data in gratis DiscoverText Enterprise accounts for 90 days. For more information, please send us an email firstname.lastname@example.org. To get started, register for Sifter or login to your existing account.
Twitter recently announced that the indexed data at https://twitter.com/search-advanced would stretch all the way back to the dawn of Twitter’s timeline “between Dec. 30, 2006 and Jan. 2, 2007.” This is an impressive feat representing a massive capability upgrade. This new service lets users glimpse into any day or days in Twitter history to display the Tweets responsive to simple keyword or exact phrase queries using basic language filters. There are also intuitive filters for filtering by user accounts and places. The result is a seemingly limitless cascade of Tweets in the familiar Twitter display mode. We think this is a powerful new tool that should be used in conjunction with our Sifter historical Twitter data tool to test out keywords and phrases that may be used when creating free estimates to license Twitter data. For more information, watch our video on using Gnip PowerTrack filters then contact us about how to us Twitter’s complete index to improve the quality and performance of your historical Twitter research.
As a part of getting new users to test our Sifter beta, every month this summer we are awarding 12 #datagrants to academics. These prizes shave thousands of dollars of costs off of your research. The August social data and tools prize winners were: Kelli S. Burns, Ph.D. University of South Florida School of Mass Communications “I will look at the #icebucketchallenge during a particularly active time in the campaign (mid-August 2014) when several celebrities were creating a lot of attention for their videos. I plan to explore the celebrity impact on tweets as well as specific mentions of ALS in tweets about the campaign. I am also interested in conversation themes related to the campaign and how other organizations hijacked the hashtag for their own gain.” @KelliSBurns Kathleen PJ Brennan PhD Candidate at the University of Hawai’i at Manoa Political Science “I hope to use my data and software prize to study the influence of internet memes on political interest and awareness. This particular analysis will form part of a dissertation chapter on internet memes, which examines such memes as emergent agents in the overlaps of online and offline spaces. This will be my first opportunity to incorporate such data into my dissertation, and I can’t wait to get started!” @katiepbrennan Aminu Bello Phd Research Student Marketing “To analyse data from social media To find out the role of social media in CRM Data will be collected primarily from facebook and twitter pages” Ann Pegoraro Laurentian University School of Sports Administration and I am the Director of the Institute for Sport Marketing, a research center at the university “I plan on using the Texifter Data and software to further my research work in social media use in sport. In particular, the historical data will be used by my colleagues and I to investigate how the use of Twitter by athletes, teams/organizations and fans has evolved over time.” @SportMgmtProf Susan Currie Sivek Linfield College Mass Communication “I will use the prize to continue to study the relationship between journalism and social media. I am especially interested in how magazines use these media to connect to their audiences.” @profsivek Dimitrinka Atanasova Research Associate (CascEff) and PhD student Media and Communication, University of Leicester “I plan to study information sharing about obesity, specifically I hope to identify the sources behind the web links that are shared most. For my recently submitted PhD I analysed obesity-related news articles from selected online newspapers, and while it can be expected that content from these should be among the most shared, I would like to see what other information sources are read/shared.” @dbatanasova Hassan Zamir University of South Carolina School of Library and Information Science “The Texifter data prize will be primarily used as the data for writing my dissertation which focuses on how and what citizens and expatriates of Bangladesh reported about the Shahbag Movement during 2013 in Twitter. A content analysis of these tweets will be helpful to get an insight about the protest, it’s primary issues, protesters, and their concerns. The data will be useful for understanding how social media tools like Twitter increases democracy, civic engagement, and social empowerment. A potential outcome of this research will be designing a computer supported tool for better understanding worldwide social movements and mitigate the social crisis issues quickly.” @hassan_zamir Jacob Groshek Boston university Emerging media “I plan to look at how people use social media in a smoking cessation program. Or follow other emergent social situations, like Ferguson or Gaza.” @jgroshek Yunkang Yang University of Washington Department of Communication “I would use it to extract historical posts to study online discourse regarding a major public event in China in 2012, as well as the access to discover text to cleanse, code and visualize the data. I hope to group those posts into categories to show the levels of contention in discourse and to reflect the role social media play in facilitating public debate.” @yangyunkang Will Frankenstein Carnegie Mellon University Dept. Engineering & Public Policy / Center for Computational Analysis of Social and Organizational Systems “I will be using the data to explore how individuals communicate and discuss technological risk as expressed on social media. I will be focusing on discussions of nuclear proliferation. The prize is especially helpful for gauging and distinguishing the immediate social media response vs. the long-term response of major events related to nuclear materials, such as Fukushima and New START.” Micah Altman MIT Libraries: Program on Information Science “We will experiment with PowerTrack to pilot to integrate dynamic corrections to official statistics. We will experiment with DiscoverText to perform collaborative evaluation of transparency in government data and websites.” @drmaltman