The spread of low-credibility content by social bots
Nature Communications 9: 4787, 2018
The science of fake news
Science 359 (6380): 1094-1096, 2018
Quantifying Biases in Online Information Exposure
Journal of the Association for Information Science and Technology, 2018
How algorithmic popularity bias hinders or promotes quality
Scientific Reports 8: 15951, 2018
Anatomy of an online misinformation network
PLoS ONE 13(4): e0196087, 2018
Research Challenges of Digital Misinformation: Toward a Trustworthy Web
AI Magazine, 39(1): 65--74. 2018
Feature Engineering for Social Bot Detection
Feature Engineering for Machine Learning and Data Analytics, ed. by Guozhu Dong and Huan Liu, chapter 12, pp. 311-334, Chapman and Hall/CRC Press, 2018
Finding Streams in Knowledge Graphs to Support Fact Checking
IEEE International Conference on Data Mining (ICDM), pp. 859-864, 2017
The social media response to Black Lives Matter: how Twitter users interact with Black Lives Matter through hashtag use
Ethnic and Racial Studies 40: 11, 2017
Limited individual attention and online virality of low-quality information
Nature Human Behavior 1: 0132, 2017
Early detection of promoted campaigns on social media
EPJ Data Science 6: 13, 2017
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Proc. AAAI Intl. Conf. on Web and Social Media (ICWSM), 2017
OSoMe: The IUNI Observatory on Social Media
PeerJ Computer Science 2: e87, 2016
The Rise of Social Bots
Comm. ACM 57(7): 96-104, 2016
The DARPA Twitter Bot Challenge
IEEE Computer 49(6): 38-46, 2016
Detection of Promoted Social Media Campaigns
Proc. Tenth International AAAI Conference on Web and Social Media (ICWSM), 2016
Scalable Query and Analysis for Social Networks: An Integrated High-Level Dataflow System with Pig and Harp
Big Data in Complex and Social Networks. Chapman and Hall/CRC, 2016.
Hoaxy: A Platform for Tracking Online Misinformation
Proc. Third Workshop on Social News On the Web (SNOW), WWW 2016
BotOrNot: A system to evaluate social bots
Proc. WWW Developers Day Workshop, 2016
Measuring online social bubbles
PeerJ Computer Science 1:e38, 2015
Style in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media
Proc. 19th ACM Conf. on Computer-Supported Cooperative Work and Social Computing (CSCW), 2016
Measuring Emotional Contagion in Social Media
PLoS ONE 10(11): e0142390, 2015
Quantifying the effect of sentiment on information diffusion in social media
PeerJ Computer Science 1:e26, 2015
Computational fact checking from knowledge networks
PLoS ONE 10(6): e0128193, 2015
Cooperative and Competitive Spreading Dynamics on the Human Connectome
Neuron, 86 (6): 1518-1529, 2015
Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks
Companion Proceedings of the 24th International Conference on World Wide Web, pp. 977-982, 2015
Social Phenomena: From Data Analysis to Models, edited by B. Gonçalves and N. Perra, Springer, pp. 99–116, 2015
The production of information in the attention economy
Nature Sci. Rep. 5: 9452, 2015
Computational Models of Consumer Confidence from Large-Scale Online Attention Data: Crowd-Sourcing Econometrics.
PLoS ONE 10(3): e0120039, 2015
Topicality and Social Impact: Diverse Messages but Focused Messengers.
PLoS ONE 10(2): e0118410, 2015
Parallel Clustering of High-Dimensional Social Media Data Streams.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Shenzhen, Guangdong, China, May 4-7, 2015
Clustering memes in social media streams.
Social Network Analysis and Mining 4 (1): 237, 2014
Fast filtering and animation of large dynamic networks.
EPJ Data Science 3(1), 2014
Optimal network modularity for information diffusion.
Phys. Rev. Lett. 113, 088701, 2014
Predicting Meme Virality in Social Networks using Network and Community Structure.
Proc. 8th AAAI Intl. Conf. on Weblogs and Social Media (ICWSM), 2014.
Evolution of online user behavior during a social upheaval.
Proc. ACM Web Science Conference, 2014 (BEST PAPER AWARD)
Dissemination of scholarly literature in social media.
Altmetrics’14 Workshop, 2014
Misogynistic Language on Twitter and Sexual Violence.
CHASM Workshop, 2014
Supporting a Social Media Observatory with Customizable Index Structures — Architecture and Performance.
In Cloud Computing for Data Intensive Applications, Springer, 2014
Controlling contagion processes in activity-driven networks.
Physical Review Letter, 112:118702, 2014
Time varying networks and the weakness of strong ties.
Nature Sci. Rep. 4: 4001, 2014
Supporting Queries and Analyses of Large-Scale Social Media Data with Customizable and Scalable Indexing Techniques over NoSQL Databases.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Chicago, IL, USA, May 26-29, 2014
Virality Prediction and Community Structure in Social Networks.
Nature Sci. Rep. 3: 2522, 2013
Traveling Trends: Social Butterflies or Frequent Fliers?
Proc. 1st ACM Conf. on Online Social Networks (COSN), pages 213–222, 2013
Computational analysis of collective behaviors via agent-based modeling.
In P. Michelucci, editor, Handbook of Human Computation, pages 761–767. Springer, 2013
More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior.
PLoS ONE 8(11): e79449, 2013
The role of information diffusion in the evolution of social networks.
Proc. 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013.
Clustering Memes in Social Media.
Proc. IEEE/ACM Intl. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), 2013.
Mobile Communications Reveal the Regional economy in Côte D’Ivoire.
Proc. NetMob 2013, May 1-3, MIT (Cambridge, MA)
Characterizing scientific production and consumption in Physics
Nature Sci. Rep., 3: 1640, 2013
The Digital Evolution of Occupy Wall Street.
PLoS ONE, (8)5:e64679, 2013.
The Twitter of Babel: Mapping World Languages through Microblogging Platforms.
PLoS ONE, (8)4: e61981, 2013.
Interoperability of Social Media Observatories.
Web Science 2013, Web Observatory Workshop, May 5 2013.
Design and Prototyping of a Social Media Observatory.
WWW 2013, Web Observatory Workshop, May 17 2013.
The Geospatial Characteristics of a Social Movement Communication Network.
PLoS ONE 8(3): e55957, 2013.
Truthy: Enabling the Study of Online Social Networks.
CSCW 2013 Demonstration, 25 February 2013.
Partisan Asymmetries in Online Political Activity.
EPJ Data Science (1)6 18 June 2012.
Social Media Data Analysis with IndexedHBase and Iterative MapReduce.
Proceedings of the 6th Super Computing Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS). Denver, CO, USA, 2013
Competition among memes in a world with limited attention.
Nature Sci. Rep., 2: 335, 2012.
Modeling Dynamical Processes in Complex Socio-technical Systems.
Nature Physics, 8, 32-39, 2012.
Visualizing Communication on Social Media: Making Big Data Accessible.
Proc. CSCW Workshop on Collective Intelligence as Community Discourse and Action, 2012.
Computational Economic and Finance Gauges: Polls, Search, and Twitter.
Meeting of the National Bureau of Economic Research – Behavioral Finance Meeting, Stanford, CA, November 5th, 2011
Detecting and Tracking Political Abuse in Social Media.
Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM), 2011.
Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena.
Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM), 2011
Political Polarization on Twitter.
Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM), 2011.
Predicting the Political Alignment of Twitter Users.
Proceedings of IEEE Third International Conference on Social Computing (SocialCom), 2011.
Twitter Mood as a Stock Market Predictor.
IEEE Computer, 44(10): 91-94, October 2011.
Happiness is assortative in online social networks.
Artificial Life 17(3), 237-251, 2011
Truthy: Mapping the Spread of Astroturf in Microblog Streams.
Proc. 20th Intl. World Wide Web Conf. Companion (WWW), 2011.
The Internet and the Physical World
In Markus Jakobsson (Ed.), The Death of The Internet, Wiley, 2012.
An Information Propagation Model Based on User Interests.
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