Category Archives: NaN

NaN represented, recognized at SoIC Spring Research Symposium

On Tuesday, April 19, IU School of Informatics and Computing hosted its Spring Research Symposium, where NaN was represented by two undergraduate research projects mentored by PhD candidate Clayton A Davis. Keychul Chung received 2nd prize honors for his work on a browser-based tool to compare historical trends of Twitter hashtag use. Kibeom Alex Hong presented a web-based tool to visualize geospatial trends in Twitter hashtag distribution over time. Both projects will be available as part of the Social Media Observatory tools to be released in early May.

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Awards at CCS 2015

Optimized-IU_poster_5_botsThe CNetS poster “The Rise of Social Bots in Online Social Networks” by Emilio Ferrara, Onur Varol, Prashant Shiralkar, Clayton Davis, Filippo Menczer, and Alessandro Flammini won a Best Poster Award at CCS 2015. The poster was presented by Clayton Davis. The results will also appear in the paper “The Rise of Social Bots” to be published in Comm. ACM (in press, preprint).

The paper “Modularity and the Spread of Perturbations in Complex Dynamical Systems” by Artemy Kolchinsky, Alexander J. Gates and Luis M. Rocha, and the poster “Information Theoretic Structures of the French Revolution” by Alexander Barron, Simon DeDeo and Rebecca Spang won additional awards.

Finally, our former postdoctoral scientist Bruno Gonçalves (now tenured faculty member at Aix-Marseille Université) received a Junior Scientist Award from the Complex Systems Society for his contributions to the study of human social behavior from large-scale online attention and behavioral data. This is the second Junior Scientist Award for CNetS (the first was won by Filippo Radicchi).

Congratulations to the CNetS team!


CNetS researchers use Instagram to predict success of fashion models

Selection_879Predicting popularity and success in cultural markets is hard due to strong inequalities and inherent unpredictability. A good example comes from the world of fashion, where industry professionals face every season the difficult challenge of guessing who will be the next seasons’ top models. A recent study by CNetS graduate student Jaehyuk Park, research scientist Giovanni Luca Ciampaglia (also at the IU Network Science Institute), and research scientist Emilio Ferrara (now at the University of Southern California) is now showing that early success in modeling can be predicted from the digital traces left by the buzz on social media such as Instagram. The study has been accepted for presentation at the 19th ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW’16). The work has been covered in the media by the MIT Technology Review, Die Welt, Fusion, and iTNews.

CNetS researchers study sleeping beauties

476706_w296Why do some research papers remain dormant for years and then suddenly explode with great impact upon the scientific community? These “sleeping beauties” are the subject of a new study by CNetS researchers Qing KeEmilio FerraraFilippo Radicchi, and Alessandro Flammini published in the Proceedings of the National Academy of Sciences. The study provides empirical evidence that a paper can truly be ahead of its time. A ‘premature’ topic may fail to attract attention even when it is introduced by authors who have already established a strong scientific reputation. The authors show that sleeping beauties can be dormant for many decades, and are more common than previously thought. The findings have been covered by media such as Nature and The New York Times. More…

The Truth about Truthy

The Truthy project was misrepresented in ‘The Kelly File’ and several other Fox News broadcasts. Public domain photo by MattGagnon via Wikimedia Commons.

For the past four years, researchers at the Center for Complex Networks and Systems Research at the Indiana University School of Informatics and Computing have been studying the ways in which information spreads on social media networks such as Twitter. This basic research project is federally funded, like a large percentage of university research across the country.

The project, informally dubbed “Truthy,” makes use of complex computer models to analyze the sharing of information on social media to determine how popular sentiment, user influence, attention, social network structure, and other factors affect the manner in which information is disseminated. Additionally, an important goal of the Truthy project is to better understand how social media can be abused.

Since 25 Aug 2014, when a first misleading article was posted on a conservative blog, the Truthy project has come under criticism from some, including The Kelly File and Fox and Friends broadcasts by Fox News on 26 and 28 Aug 2014, who have misrepresented its goals. Contrary to these claims, the target is the study of the structural patterns of information diffusion. For example, an email sent simultaneously to a million addresses is likely spam, even if we have no automatic way to determine whether its content is true or false. The assumption behind the Truthy effort is that an understanding of the spreading patterns may facilitate the identification of abuse, independent from the nature or political color of the communication.

While the Truthy platform provides support to study the evolution of communication in all portions of the political spectrum, it is not informed by political partisanship. The machine learning algorithms used to identify suspicious patterns of information diffusion are entirely oblivious to the possibly political partisanship of the messages.

Read the facts below for a primer on Truthy. More detailed information can be found on the Truthy website and in our publications.

Timeline and updates:

8/28/2014: Despite the clarifications in this post, Fox News and others continued to perpetrate their attacks to our research project and to the PI personally. Their accusations are based on false claims, supported by bits of text and figures selectively extracted from our writings and presented completely out of context, in misleading ways. None of the researchers were contacted for comments before these outlandish conspiracy theories were aired and published. There is a good dose of irony in a research project that studies the diffusion of misinformation becoming the target of such a powerful disinformation machine. (The video of the first segment on “The Kelly File” with misinformation about our project was later removed from the Fox News website.)

9/3/2014: David Uberti wrote an accurate account of recent events in Columbia Journalism Review.

10/18/2014: Unfortunately, the smear campaign against our research project continues, with unsupported allegations echoed in an misleading op-ed by FCC Commissioner Ajit Pai, who did not contact any of the researchers with questions about the accuracy of his allegations.

10/22/2014: Amid news reports that the chairman of the House Science, Space and Technology Committee initiated an investigation into the NSF grant supporting our project, read our interview in the Washington Post’s Monkey Cage setting the record straight about our research.

CRA, ACM, AAAI, USENIX, and SIAM write to congress about Truthy project

10/23/2014: While the House Majority Leader joins the fray, IU releases a statement in support of our work.

10/24/2014: Fox News and FCC Commissioner Pai continue to spread disinformation about our research. (The video of the interview about our project, to which we were not invited, was later removed from the Fox News website.)

10/27/2014: Some accurate coverage of the controversy appeared in Physics Today, Motherboard, Motherboard, and Indianapolis Star over the past few days.

11/3/2014: Jeffrey Mervis covers the controversy about this project in Science. We also provided additional information about our research in a slide deck embedded at the bottom of this post. 

11/4/2014: Five leading computing societies and associations (CRA, ACM, AAAI, USENIX, and SIAM) wrote a joint letter to the chairman and the committee ranking member of the House Committee on Science, Space, and Technology expressing their concern over mischaracterizations of our research.

11/7/2014: Over the past few days we have seen more coverage in Computer World, The Hill, Information Week, and Science about the reactions of the computing and science communities to the Truthy controversy.

11/11/2014: The House Science Committee Chairman sent a letter to the director of the  NSF on November 10, stating that our grant “was intended to create standards for online political discussion” and that a web service developed under the grant “targeted conservative social media messages.” These allegations are false, as we have explained in this post, in the slides embedded below, and in our publications — including the one quoted in the Chairman’s letter. On the same day, the Association of American Universities released a statement on the grant inquires by the House Science Committee.

11/21/2014: False rumors about our research continue to be spread. Some of the questions we have received suggested that our two separate project and demo websites were generating confusion, so we merged them into a redesigned research website with information and highlights about the research project, publications, demos, data, etc.

11/25/2014: Rep. Johnson and Rep. Lofgren, respectively ranking member and member of the House Committee on Science, write a letter to the committee chairman, Rep. Smith, in response to his accusations.

Facts about Truthy:

  1. Truthy is an informal nickname associated with a research project of the Center for Complex Networks and Systems Research at the IU School of Informatics and Computing. The project aims to study how information spreads on social media, such as Twitter.
  2. The project has focused on domains such as news, politics, social movements, scientific results, and trending social media topics. Researchers develop theoretical computer models and validate them by analyzing public data, mainly from the Twitter streaming API.
  3. Social media posts available through public APIs are processed without human intervention or judgment to visualize and study the spread of millions of memes. We aim to build a platform to make these analytic tools easily accessible to social scientists, reporters, and the general public.
  4. An important goal of the project is to help mitigate misuse and abuse of social media by helping us better understand how social media can be potentially abused. For example: when social bots are used to create the appearance of human-generated communication (hence the name “truthy”).  We study whether it is possible to automatically differentiate between organic content and so-called “astroturf.”
  5. Examples of research to date include analyses of geographic and temporal patterns in movements like Occupy Wall Street, societal unrest in Turkey, the polarization of online political discourse, the use of social media data to predict election outcomes and stock market movements, and the geographic diffusion of trending topics.
  6. On the more theoretical side, we have studied how individuals’  limited attention span affects what information we propagate and what social connections we make, and how the structure of social networks can help predict which memes are likely to become viral.
  7. Hundreds of researchers across the U.S. and the world are studying similar issues based on the same data and with analogous goals — these topics were studied well before the advent of social media. In the US these research efforts are supported not only by the NSF but also by other federal funding agencies such as DoD, DARPA, and IARPA.
  8. The results of our research have been covered widely in the press, published in top peer-reviewed journals, and presented at top conferences worldwide. All papers are publicly available.

Finally, the Truthy research project is not and never was:

  • a political watchdog
  • a database to be used by the federal government to monitor the activities of those who oppose its policies
  • a government probe of social media
  • an attempt to suppress free speech or limit political speech or develop standards for online political speech
  • a way to define “misinformation”
  • a partisan political effort
  • a system targeting political messages and commentary connected to conservative groups
  • a mechanism to terminate any social media accounts
  • a database tracking hate speech