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.
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
As a part of getting new users to test our sifter beta, every month this summer we are awarding 12 #datagrants to academics. All you need to do to be included in the August drawing is submit a valid historical Twitter estimate request using sifter and then send us your CV. These prizes shave thousands of dollars of costs off of your research. The July social data and tools prize winners were: Enrique Castro Sanchez Centre for Infection Prevention and Management at Imperial College London
“I am interested in exploring how antibiotics and antibiotic resistance are discussed in Twitter, focusing on opinion leaders driving particular perceptions. The data will allow me to explore collective Twitter responses to news and events related to antibiotics, in an effort to understand how best mobilise public opinion.” @castrocloud
Stephen Barnard Department of Sociology at St. Lawrence University
“I plan to use the Texifter #datagrant and DiscoverText software package to extend my research on the significance of Twitter in American journalism. This may include collecting both real-time and historical tweets relating to major events in the journalistic field. Additionally, I am also hoping to use the Texifter/DiscoverText package as a grading tool, given that I often incorporate social media projects and Twitter discussion in my classes and have been searching for an efficient way to collect and grade them. This prize provides an ideal opportunity for me to experiment with new grading protocols.” @socsavvy
Gonzalo Bacigalupe Counseling Psychology at the University of Massachusetts Boston
“Do ehealth, innovation in healthcare and technology, mhealth, and other forms of ehealth ideas, emerge associated to the question of health equity, social determinants of health, and overall with concerns about social justice” @bacigalupe
“As an economist I am interested in how economic agents interact with each other; in particular how networks (formally or informally – hence Twitter and other social networks) influence decision-making. I hope to use this data award to learn more about the ways in which decisions are impacted by the position somebody has within a network.” @jjreade
Zachary Steinert-Threlkeld Political Science at the University of California – San Diego
“I am researching how individuals use Twitter to organize contentious action in authoritarian regimes. Because I have too many tweets to hand code, creating topic models is a core part of my research. Access to an Enterprise level DiscoverText account will prove invaluably productive.” @ZacharyST
“I will be using the data for community detection and anomaly detection. I am building algorithms that allow for community and anomaly detection in networks using both the attributes of nodes (country, age, messages…) and relationships between nodes.” @lmhasher
“With Prof. Ed Lee in the IIT Chicago-Kent College of Law, I’m studying how to evaluate online protests and their achievements. We use the case study method to examine tweets related to protests of NSA surveillance. Our goal is to develop a set of metrics by which we can better evaluate the success of online protests and what they may achieve, particularly in protests whose objectives do not involve revolution or overthrow of the government. The results of the project will be useful for Internet activists, businesses, media, policymakers, and software programmers in designing, evaluating, or utilizing social media for political purposes.” @libbyh
“I’m exploring social media commentary about the use of conflict resolution programming in schools, with a special focus on peer mediation. I’ve been gathering tweets related to peer mediation and find some interesting back-channel conversations going on that school staff probably are not aware of.” @bwarters
Nigel L. Williams FestIM Research Project, School of Tourism at Bournemouth University
“My research examines Digital Engagement by stakeholders with Projects and Events. I’m especially interested in applying Social Network Analysis and Text Analysis to understand conversations on Social Media about Projects and Events. In the Project Domain, I will look at online narratives discussing Crossrail, a London transport project. For Events, I will apply the data and software to examine the impact of online narratives on a costal destination” @Org_PM
Meredith Clark Journalism & Mass Communication at UNC-CH
“I will use the prize to extend my research into digital media use and connectivity among minorities.” @meredithclark
Stephen K Tagg Marketing at Strathclyde Business School
“To produce academic articles on dynamic modelling of sentiments in the Scottish Independence Referendum debate. This is in cooperation with a colleague in the school of government (Dr Mark Shephard). Techniques for the analysis of unstructured data in the R software environment will be used: qdap, tm and Austin.” @stephenktagg
Bill Wilkerson Political Science at SUNY Oneonta
“I am interested in learning about how the US Supreme Court is discussed on Twitter. What cases draw interest? What network patterns exist in this discussion? I hope that there is sufficient geo-location data to use this as part of the research as well.” @bill_wilkerson
Remember: All you need to do to be included in the July drawing is submit a valid historical Twitter estimate request using sifter and then send us your CV.
We could not be happier to announce that Texifter, a developer of advanced text data analytics software, is partnering with Gnip, the world’s largest provider of social data. Our Plugged In to Gnip partnership certifies Texifter as an industry leader committed to building innovative analytics solutions on top of reliable, sustainable, and complete social data. In joining Gnip’s partner program, Texifter joins the list of leading analytics providers like Microsoft, Salesforce, and Adobe. “The Plugged In program was created to really highlight the companies that are doing the most innovative things in social data,” according to Chris Moody, CEO of Gnip, “and Texifter is a great example of that.” Texifter’s DiscoverText platform provides advanced data analytics solutions for social researchers in public and private institutions. Combining powerful tools with accessible interfaces, DiscoverText provides “five pillars of text analytics” – search, filtering, clustering, human-coding, and machine-learning. By partnering with Gnip, Texifter has access to historical Twitter data. Texifter recently launched “Sifter”, a tool to help users estimate Twitter volume associated with historical searches. The Sifter product gives users a free estimate of Twitter volume over a specific date range using advanced Gnip PowerTrack filtering. Customers who license historical Twitter data from Gnip can then access it for text analytics via a 30-day trial of DiscoverText.
“Texifter welcomes this opportunity to work even more closely with a company that we have admired and worked with for years,” said Stu Shulman, CEO of Texifter. “Gnip is an exceptionally reliable provider of social data products and services. Texifter customers will continue to see more benefit as we work with Gnip to deliver high quality products and services.”
We could not be happier about the initial response to the beta test of “Sifter” (https://sifter.texifter.com), a self-serve tool to get free estimates of the cost to pull samples from the complete (un-deleted) history of Twitter. Using the powerful Gnip-enabled Power Track operators, we have a few hundred early adopters testing out rules that allow them to pull highly selective samples going back to the very first day of Twitter. For information on pricing to license the Twitter data, please visit: https://sifter.texifter.com/Home/Pricing.