A project from NaN and IUNI was among 20 selected (out of over 800 applications) to address the spread of misinformation with support from the Knight Prototype Fund. Led by Fil Menczer, Giovanni Ciampaglia, Alessandro Flammini and Val Pentchev, the project will integrate the Hoaxy and Botometer tools and uncover attempts to use Internet bots to boost the spread of misinformation and shape public opinion. The tool aims to reveal how this information is generated and broadcasted, how it becomes viral, its overall reach, and how it competes with accurate information for placement on user feeds. The project will be supported by the Democracy Fund, which in March, along with partners Knight Foundation and Rita Allen Foundation, launched an open call for ideas around the question: How might we improve the flow of accurate information? The call sought projects that could be quickly built to respond to the challenges affecting the health of our news ecosystem and ultimately our democracy. The winning projects will receive a share of $1 million through the Knight Prototype Fund, a program focused on human-centered approaches to solving difficult problems.
NetSci, the flagship annual conference of the Network Science Society, was hosted this year by the Indiana University Network Science Institute (IUNI) with Filippo Menczer and Olaf Sporns serving as general co-chairs. NetSci 2017 was the largest meeting to date, since the conference started at IU Bloomington in 2006. NetSci fosters interdisciplinary communication and collaboration in network science research across computer and information sciences, physics, mathematics, statistics, the life sciences, neuroscience, environmental sciences, social sciences, finance and business, arts and design. NetSci 2017 was held June 19 – 23, 2017 at the JW Marriott in downtown Indianapolis. More…
Every year the Informatics Department awards a prize to an Associate Instructor (AI) who has excelled at teaching and service. For the 2016-2017 academic year, CNetS PhD candidate Clayton A. Davis was singled out among a crowd of outstanding nominees as being particularly deserving of this award. The nomination noted Clayton’s commitment to teaching and learning, the above-and-beyond work that he put into preparing creative assignments, and his overall excellence as an instructor. Clayton was “born to disseminate knowledge,” and we predict for him a brilliant career as a teacher and communicator, as well as researcher. Congratulations!
Congratulations to Onur Varol for successfully defending his dissertation entitled “Analyzing Social Big Data to Study Online Discourse and its Manipulation” on April 25th 2017, supervised by Filippo Menczer. Onur completed a PhD degree in the Complex Systems track of the Informatics PhD Program. Onur has accepted a postdoctoral position at Northeastern University at the Center for Complex Network Research.
If you get your news from social media, as most Americans do, you are exposed to a daily dose of hoaxes, rumors, conspiracy theories and misleading news. When it’s all mixed in with reliable information from honest sources, the truth can be very hard to discern.
Among the millions of real people tweeting about the presidential race, there are also a lot accounts operated by fake people, or “bots.” Politicians and regular users alike use these accounts to increase their follower bases and push messages. PBS NewsHour science correspondent Miles O’Brien reports on how CNetS computer scientists can analyze Twitter handles to determine whether or not they are bots.
Research on detection of social bots by CNetS faculty members Alessandro Flammini and Filippo Menczer, former IUNI research scientist Emilio Ferrara, and graduate students Clayton Davis, Onur Varol, and Prashant Shiralkar was featured on the covers of the two top computing venues: the June issue of Computer (flagship magazine of the IEEE Computer Society) and the July issue of Communications of the ACM (flagship publication of the ACM). Continue reading Social bot research featured on CACM, IEEE Computer covers
Lately, my hobby has been to develop Quirkies Evolution, an iOS game to teach kids about evolution. This started last year as the 4th-grade science project of my daughter, Iris. She asked for advice about a project idea; she wanted it to be about coding and evolution, two subjects about which she has been learning recently. So we ended up designing Quirkies together, and she used the app to run some simulations and present results at her school’s science fair about how adaptive traits become more common in a population. Iris is actively involved in all aspects of the game, including some of the Swift programming (especially the geometry and core graphics), although I have done most of the coding as it is quite challenging to develop for iOS. It has been fun for me to learn iOS development, play with evolutionary algorithms (the subject of my undergraduate and PhD research), and get inspiration for some work projects.
Quirkies are creatures that evolve through natural selection, reproduction, recombination and mutation of genes. By selecting mates who get to reproduce, players simulate the environment in which the best quirkies survive. You can choose a trait that you would like the population to have. As you play the game, try to select quirkies with that trait. In each generation, the offspring inherit the genes from the parents. The trait that you picked will become common throughout the population. Your fitness score at the top of the main screen will improve, and you win the game with high enough fitness over generations. But quirkies might also be rejected by mates, experience harmful mutations, and risk death. Your quirkies will evolve new traits such as colors, nose, mouth, limbs, hair, and more by regulatory gene adaptations. You can explore it all through the family tree (showing how genes are inherited) and population view.
As you play, quirkies will entertain you with funny comments (even with speech), quiz your understanding of evolution, and make suggestions from hundreds of educational videos and podcasts. You earn badges through these activities. You can also earn survival points with mini-games: help your offspring feed, fight challengers, and find their parents. And don’t tell anyone, but if you get to the biolab, you can manipulate your quirkie’s genes.
Kids can name and save their favorite quirkies (they also get scientific species names), and share them with their friends. (Parents, no worries — your kid cannot post on social media without your permission.) Then they can get news updates when one of their quirkies has new siblings or offspring, and explore the families of their saved quirkies: their parents, siblings, mates, and offspring.
Quirkies Evolution is released through Indiana University and benefits from the scientific advice of Matt Hahn, one of my favorite evolutionary biologists. Iris and I are also grateful to many other friends who helped with their ideas and feedback, including Anushka, Jessica, Kira, Luca, Markus, Max, and many others.
How can you help? Glad you asked! Most importantly, download and install the game on your iPhone or iPad, and rate it (or even better review it) on the App Store. This way you can help others find it among millions of other apps. And of course, if you have kids, let them play with it. Ideal ages are 8-12 but even younger kids and adults can have fun. Iris and I hope you enjoy both the fun and the learning!