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Final preparations are underway to travel to Lyon, France to offer a DiscoverText workshop at “Twitter for Research” hosted by the Emlyon B-School April 22-24. There is a very strong program and this promises to be a great event. As the organizers note, the meeting will take place “avec la participation de speakers de Twitter.” To keep track of the events, follow #twlyon2015.
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.
PhD student in the Department of Information Studies at UCLA
“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.”
Assistant Professor in the Sociology Department at St. Lawrence University
“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.”
PhD Student in the Informatics Department at University of California, Irvine @oliverhaimson
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.”
PhD Student in the Department of Operational Research, Applied Statistics and Simulation at University of Technology of Troyes
“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.”
PhD Student in the Health Informatics Research Group at the University of Sheffield’s Information Department
“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 email@example.com. Better yet, sign up for a free 30-day trial and start collecting your own social data today.
We are making continual improvements to the sifter beta. Our goal is to develop the best possible user interface for Gnip’s PowerTrack filters when searching for historical Twitter data. Version 2 of the historical Twitter filtering system reflects a lot of great input from our early adopters. The work is far from done. This video introduces v2. What we need is your input. How can we make this tool for searching every undeleted tweet in history easier to use?
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 July 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 June social data and tools prize winners were: Kelly Fincham The Department of Journalism, Media Studies, and Public Relations at Hofstra University
“I will use the data and software prize to further my research and analysis of journalism practice on Twitter. My research agenda explores journalists’ evolving norms and practices on social media, specifically Twitter, in the U.S. and Ireland. This grant will help me to research and analyze this subject area in more depth.” @kellyfincham
“I am hoping to use the data and software prize for my PhD research on the recovery and rebuild after the Christchurch earthquake of 2011. I am particularly interested in framing and sentiment of tweets and am hoping to compare a historical data set during disaster response and recovery to the conversation about the rebuilt of the city which is still ongoing today. I am hoping to study the differences and similarities of conversations on Twitter now and then.” @tinserella
“I will like to integrate the collected data (tweets) in my final essay in order to get my Masters degree. The subject of my essay is: racism online.” @CarminaGodoy
“This award will be used to collect and analyze select data from the early group stages of the 2014 World Cup. Social media – including but not limited to Twitter – are increasingly integrated into traditional (TV, radio, print) media campaigns. At the 2014 World Cup, the hashtags #becausefootball and #becausefutbol were promoted throughout the televising of the games. Exploratory thematic analysis of these Tweets – enabled by Sifter and Discovertext – will describe how the use of these commercially-oriented hashtags are used in comparison to what we know about live event Twitter usage in the current body of research.” @warrensallen
“I plan to use the prize to capture and analyze online discussion and commentary about police use of automated license plate recognition (ALPR) systems and wearable cameras. In particular, I hope to examine discussions related to the public disclosure of data generated by these systems under freedom of information laws.” @newmedialaw
“This project will survey the current use of online social media by health organization for health campaign and analyze the reach and diffusion of campaign messages. Despite the ever growing number of online social media-based health campaigns, little work has been done to understand how interactive natures of online social media are used for public health promotion. For this project, Twitter data will be analyzed to enhance our understanding of how health organizations use social media for public health promotion and how such uses of online media platforms are received by the public.”
Abhay Gupta Lecturer at Fairleigh Dickinson University
“I plan to use it to understand the dynamics of public opinion. In particular, I want to test various hypotheses on how major events (e.g. election wins, market crash, sports results) impact the sentiment and whether pre-event opinion analysis has any predictive power in explaining actual outcomes.” @EmpForesights
“I am looking forward to using the Texifter data and software to investigate how consumers and brands communicate on social media. In particular, I’m interested in how language use affects consumer behavior in online contexts. Given the extent to which consumers have and are continuing to adopt social media, this research should have important implications for marketing practitioners.” @vabarger
“I am studying the influence of social movements on changes in the law — specifically land law. I hope to use the prize to access Twitter data that can tell me about the relationships between movement actors, how they form their interests, and how these change over time.” @jrgbaxter
“I will use the software and data to continue my study of the lifecycle of policy initiatives. I used DiscoverText in my latest book Interpreting Hashtag Politics (Palgrave Macmillan, 2014). Historic Twitter data reveals the first mention of policies that enjoy several months of widespread attention before disappearing without trace. To understand why and how this occurs, I will continue use DiscoverText to de-duplicate the data and develop thematic code sets with a team of research assistants.” @SRJeffares
Cristian Vaccari Lecturer in Politics at the Royal Holloway University of London
“I am planning on using the data and software to analyze how politically motivated users of social media engage with mediated political events, such as televised leader debates and high-profile interviews, to better understand the interplay between television and social media in the flow of political messages.” 25lettori
Bill D. Herman 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.
Social Data & Tools: Prizes for Academics We felt inspired by the recent #DataGrants experiment sponsored by Twitter that generated more than 1,300 proposals from 60 countries and resulted in six extremely interesting awards. One thing is clear: many more grants of social data licenses are needed to fuel academic research. Texifter is sponsoring social data and tools prizes for academics as a simple contest with 12 winners a month this summer. In addition to social data access, we understand that many academic researchers also need “point & click” web-based tools to simplify the data access and management tasks involving social media APIs and jSON.
The Prizes We will award twelve social data prizes with text analytics software licenses every month this summer. These premium social data prizes include access to our powerful online DiscoverTexttools to search, filter, cluster, code, and machine classify the data, as well as interactive visual reporting tools include several specialized views for metadata eDiscovery, time series, deduplication, near-duplicate clustering, and other project attributes. No software programming skills required. The twelve monthly prizes are:
Rules to Enter This prize drawing is designed to promote experimentation with the free historical Twitter estimation tool we have in beta known as Sifter. The application provides search and retrieve access to every undeleted Tweet in the history of Twitter.
Social Data and Software Terms of Service All contest-related social data will be stored in DiscoverText. Use of the data is governed both by the publisher and Texifter Terms of Service. The Future Need for Tools and Data is Great This small contest cannot satisfy the pent up demand students and faculty have for tools and data. We do think that these prizes can equip a researcher with sufficient data and advanced analytic tools to run a successful pilot study, or to complete a graduate thesis proposal. It is our hope to grow the social data research grant program over time. If it helps to drives new awareness of the research ecosystem, Texifter would be happy to be a part of the innovative energy pouring into academic research studies of the impact and uses of social data. Project Outputs We will invite all of the contest winners to write about their project on the Texifter blog. This is optional, but we have had some great guest research posts lately about school bullying, elections, and reusable learning objects. We hope these software and social data research grants will lead to more reports of innovative teaching and research efforts.
We could not be happier about the initial response to the beta test of “Sifter” (http://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: http://sifter.texifter.com/Home/Pricing.
Just about six hours left to win valuable historical twitter datasets and powerful text analytics software. This is by far our best Facebook raffle yet. To enter:
The winner will get three 10-day historical Twitter datasets, with Power Track search operators enable by our friends @gnip as well as gratis use of the DiscoverText software platform. Runners up will also get valuable software prizes for a full year.
It’s official. Starting in January 2013, DiscoverText customers will be able to purchase monthly access to four vibrant Gnip-enabled Power Track data feeds. Building on current successes with Twitter, we are pleased to offer unprecedented federated Power Track access to WordPress, Disqus, and Tumblr as part of our social #bigdata offering. Keep an eye on the blog for the launch in early January.