Peter Krafft
Isabelle Edwards
ABSTRACT
Widespread rumoring can hinder attempts to make sense of what is going on during disaster scenarios. Understanding how and why rumors spread in these contexts could assist in the design of systems that facilitate timely and accurate sensemaking. We address a basic question in this line: To what extent does rumor evolution occur (1) through reliance on a centralized information source, (2) in parallel information silos, or (3) through a web of complex informational interactions? We develop a conceptual model and associated analysis algorithms that allow us to distinguish between these possibilities. We analyze a case of rumoring on Twitter during the Boston Marathon Bombing. We find that rumor spreading was predominantly a parallel process in this case, which is consistent with a hypothesis that information silos may underlie the persistence of false rumors. Special attention towards detecting and resolving parallel information threads during collective sensemaking may hence be warranted.
- Lada A. Adamic, Thomas M. Lento, Eytan Adar, and Pauline C. Ng. 2016. Information evolution in social networks. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining. ACM, 473--482. Google Scholar
Digital Library
- Gordon W. Allport and Leo Postman. 1946. An analysis of rumor. Public Opinion Quarterly 10, 4 (1946), 501--517. Google ScholarCross Ref
- Gordon W. Allport and Leo Postman. 1947. The Psychology of Rumor. Henry Holt.Google Scholar
- Ahmer Arif, Kelley Shanahan, Fang-Ju Chou, Yoanna Dosouto, Kate Starbird, and Emma S. Spiro. 2016. How Information Snowballs: Exploring the Role of Exposure in Online Rumor Propagation. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. ACM, 466--477. Google ScholarDigital Library
- Dimitri P. Bertsekas and John N. Tsitsiklis. 1989. Parallel and Distributed Computation: Numerical Methods. Prentice Hall.Google ScholarDigital Library
- Prashant Bordia and Nicholas DiFonzo. 2004. Problem solving in social interactions on the Internet: Rumor as social cognition. Social Psychology Quarterly 67, 1 (2004), 33--49. Google ScholarCross Ref
- Theodore Caplow. 1947. Rumors in war. Social Forces (1947), 298--302. Google ScholarCross Ref
- Justin Cheng, Lada A. Adamic, Jon M. Kleinberg, and Jure Leskovec. 2016. Do Cascades Recur? In Proceedings of the 25th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 671--681. Google ScholarDigital Library
- Simon DeDeo. 2014. Group Minds and the Case of Wikipedia. Human Computation (2014).Google Scholar
- P. Alex Dow, Lada A. Adamic, and Adrien Friggeri. 2013. The Anatomy of Large Facebook Cascades. In Seventh International AAAI Conference on Weblogs and Social Media.Google Scholar
- Adrien Friggeri, Lada Adamic, Dean Eckles, and Justin Cheng. 2014. Rumor cascades. In Eighth International AAAI Conference on Weblogs and Social Media.Google ScholarCross Ref
- Sharad Goel, Duncan J. Watts, and Daniel G. Goldstein. 2012. The structure of online diffusion networks. In Proceedings of the 13th ACM Conference on Electronic Commerce. ACM, 623--638. Google ScholarDigital Library
- Rob Goldstone and Georg Theiner. 2017. The Multiple, Interacting Levels of Cognitive Systems (MILCS) Perspective on Group Cognition. Philosophical Psychology (2017).Google Scholar
- Adrien Guille, Hakim Hacid, Cecile Favre, and Djamel A. Zighed. 2013. Information diffusion in online social networks: A survey. ACM SIGMOD Record 42, 2 (2013), 17--28. Google ScholarDigital Library
- Thomas Heverin and Lisl Zach. 2012. Use of microblogging for collective sense-making during violent crises: A study of three campus shootings. Journal of the American Society for Information Science and Technology 63, 1 (2012), 34--47. Google ScholarDigital Library
- Eshcar Hillel, Zohar S. Karnin, Tomer Koren, Ronny Lempel, and Oren Somekh. 2013. Distributed exploration in multi-armed bandits. In Advances in Neural Information Processing Systems. 854--862.Google Scholar
- Edwin Hutchins. 1995. Cognition in the Wild. MIT Press.Google Scholar
- Michael Kearns, Siddharth Suri, and Nick Montfort. 2006. An experimental study of the coloring problem on human subject networks. Science 313, 5788 (2006), 824--827. Google ScholarCross Ref
- Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, and Alex Pentland. 2016. Human collective intelligence as distributed Bayesian inference. arXiv preprint arXiv:1608.01987 (2016).Google Scholar
- Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang. 2013. Prominent features of rumor propagation in online social media. In 2013 IEEE 13th International Conference on Data Mining. IEEE, 1103--1108. Google ScholarCross Ref
- Nancy A. Lynch. 1996. Distributed Algorithms. Morgan Kaufmann.Google Scholar
- Jim Maddock, Kate Starbird, Haneen J. Al-Hassani, Daniel E. Sandoval, Mania Orand, and Robert M. Mason. 2015. Characterizing online rumoring behavior using multi-dimensional signatures. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM, 228--241. Google ScholarDigital Library
- Andrew Mao, Winter Mason, Siddharth Suri, and Duncan J. Watts. 2016. An experimental study of team size and performance on a complex task. PloS one 11, 4 (2016), e0153048.Google ScholarCross Ref
- Patrick Meier. 2012. Crisis mapping in action: How open source software and global volunteer networks are changing the world, one map at a time. Journal of Map & Geography Libraries 8, 2 (2012), 89--100. Google ScholarCross Ref
- Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Qiaozhu Mei. 2011. Rumor has it: Identifying misinformation in microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 1589--1599.Google ScholarDigital Library
- Paul Resnick, Samuel Carton, Souneil Park, Yuncheng Shen, and Nicole Zeffer. 2014. Rumorlens: A system for analyzing the impact of rumors and corrections in social media. In Proc. Computational Journalism Conference.Google Scholar
- Stanley Schachter and Harvey Burdick. 1955. A field experiment on rumor transmission and distortion. The Journal of Abnormal and Social Psychology 50, 3 (1955), 363.Google ScholarCross Ref
- Devavrat Shah. 2009. Gossip Algorithms. Now Publishers Inc.Google Scholar
- Ohad Shamir. 2014. Fundamental limits of online and distributed algorithms for statistical learning and estimation. In Advances in Neural Information Processing Systems. 163--171.Google Scholar
- Tamotsu Shibutani. 1966. Improvised News: A Sociological Study of Rumor. Ardent Media.Google Scholar
- Matthew P. Simmons, Lada A. Adamic, and Eytan Adar. 2011. Memes Online: Extracted, Subtracted, Injected, and Recollected. International AAAI Conference on Weblogs and Social Media 11 (2011), 17--21.Google Scholar
- Paul R. Smart and Katia P. Sycara. 2013. Collective Sensemaking and Military Coalitions. IEEE Intelligent Systems 28 (2013), 50--56. Google ScholarDigital Library
- Emma S. Spiro, Sean Fitzhugh, Jeannette Sutton, Nicole Pierski, Matt Greczek, and Carter T. Butts. 2012. Rumoring during extreme events: A case study of Deepwater Horizon 2010. In Proceedings of the 4th Annual ACM Web Science Conference. ACM, 275--283. Google ScholarDigital Library
- Kate Starbird. 2013. Delivering patients to sacré coeur: Collective intelligence in digital volunteer communities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 801--810. Google ScholarDigital Library
- Kate Starbird, Jim Maddock, Mania Orand, Peg Achterman, and Robert M. Mason. 2014. Rumors, false flags, and digital vigilantes: Misinformation on twitter after the 2013 Boston marathon bombing. iConference 2014 Proceedings (2014).Google Scholar
- Kate Starbird, Grace Muzny, and Leysia Palen. 2012. Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions. In Proceedings of 9th International Conference on Information Systems for Crisis Response and Management, ISCRAM.Google Scholar
- Kate Starbird and Leysia Palen. 2012. (How) will the revolution be retweeted? Information diffusion and the 2011 Egyptian uprising. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. ACM, 7--16.Google ScholarDigital Library
- Kate Starbird, Emma Spiro, Isabelle Edwards, Kaitlyn Zhou, Jim Maddock, and Sindhuja Narasimhan. 2016. Could This Be True? I Think So! Expressed Uncertainty in Online Rumoring. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 360--371. Google ScholarDigital Library
Index Terms
- Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking
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