Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation
Abstract
Social media platforms provide an increasingly popular means for individuals to share content online. Whilst this produces undoubted societal benefits, the ability for content to be spontaneously posted and reposted creates an ideal environment for rumour and false/malicious information to spread rapidly. When this occurs it can cause significant harm and can be characterised as a “digital wildfire.” In this article, we demonstrate that the propagation and regulation of digital wildfires form important topics for research and conduct an overview of existing work in this area. We outline the relevance of a range of work from the computational and social sciences, including a series of insights into the propagation of rumour and false/malicious information. We argue that significant research gaps remain—for instance, there is an absence of systematic studies on the effects of digital wildfires and there is a need to combine empirical research with a consideration of how the responsible governance of social media can be determined. We propose an agenda for research that establishes a methodology to explore in full the propagation and regulation of unverified content on social media. This agenda promotes high-quality interdisciplinary research that will also inform policy debates.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Social media's lack of moderation contributes to the emergence and spread of rumours and misinformation.
“its unmoderated nature often leads to the emergence and spread of rumours”
From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Webb et al. 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471 · see citing works
A simplest systematics for the organization of turn-taking for conversation
Sacks, H., Schegloff, E. A., & Jefferson, G. (1974) · Language · doi:10.2307/412243 · Cited by 11,350 · see citing works
(1981) · Medical Entomology and Zoology · Cited by 4,644 · see citing works
Folk Devils and Moral Panics: The Creation of Mods and Rockers (1972–2002)
Cohen, S. (2019) · Routledge eBooks · doi:10.4324/9780367809195-40 · Cited by 3,613 · see citing works
Developing a framework for responsible innovation
Stilgoe, J., Owen, R., & Macnaghten, P. (2013) · Research Policy · doi:10.1016/j.respol.2013.05.008 · Cited by 3,184 · see citing works
Dynamical Processes on Complex Networks
Barrat, A., Barthélemy, M., & Vespignani, A. (2008) · doi:10.1017/cbo9780511791383 · Cited by 2,704 · cited 1× · see citing works
“Network Structure : Network structure captures the underlying topology of linkages between individuals, which can influence how quickly a message will propagate [e.g. Albert and Barabasi 2002; Barrat et al. 2008].”
BackgroundJava, A., Song, X., Finin, T., & Tseng, B. L. (2007) · doi:10.1145/1348549.1348556 · Cited by 2,662 · see citing works
Blogs, Wikipedia, Second Life, and beyond: from production to produsage
(2009) · Choice Reviews Online · doi:10.5860/choice.46-2978 · Cited by 2,063 · see citing works
Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth
Goldenberg, J., Libai, B., & Muller, E. (2001) · Marketing Letters · doi:10.1023/a:1011122126881 · Cited by 2,024 · see citing works
Gil de Zúñiga, H., Jung, N., & Valenzuela, S. (2012) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2012.01574.x · Cited by 1,821 · see citing works
Responsible research and innovation: From science in society to science for society, with society
Owen, R., Macnaghten, P., & Stilgoe, J. (2012) · Science and Public Policy · doi:10.1093/scipol/scs093 · Cited by 1,625 · see citing works
Gazing into the oracle : the Delphi method and its application to social policy and public health
Ziglio, E., & Adler, M. E. (1996) · Jessica Kingsley Publishers eBooks · Cited by 1,444 · see citing works
Why social networks are different from other types of networks
Newman, M. E. J., & Park, J. M. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.68.036122 · Cited by 1,362 · see citing works
News sharing in social media: The effect of gratifications and prior experience
Lee, C.-S., & Ma, L. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.10.002 · Cited by 1,259 · see citing works
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
Aral, S., Muchnik, L., & Sundararajan, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908800106 · Cited by 1,207 · see citing works
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Suh, B., Hong, L., Pirolli, P. L. T., & Ed, H. (2010) · doi:10.1109/socialcom.2010.33 · Cited by 1,183 · see citing works
Romero, D. M., Meeder, B., & Kleinberg, J. (2011) · Proceedings of the 20th international conference on World wide web · doi:10.1145/1963405.1963503 · Cited by 1,082 · see citing works
Twitter under crisis: can we trust what we RT?
Mendoza, M., Poblete, B., & Castillo, C. (2010) · Proceedings of the First Workshop on Social Media Analytics · doi:10.1145/1964858.1964869 · Cited by 955 · see citing works
An Introduction to Discourse Analysis
Coulthard, M. (2014) · Routledge eBooks · doi:10.4324/9781315835884 · Cited by 909 · see citing works
Prominent Features of Rumor Propagation in Online Social Media
Kwon, S., Cha, M., Jung, K., Chen, W., & Wang, Y. (2013) · 2013 IEEE 13th International Conference on Data Mining · doi:10.1109/icdm.2013.61 · Cited by 859 · see citing works
Theory of rumour spreading in complex social networks
Nekovee, M., Moreno, Y., Ginestra Bianconi, A., & Matteo Marsili, A. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.07.017 · Cited by 796 · see citing works
Digital Citizenship: The Internet, Society, and Participation
Mossberger, K., Tolbert, C. J., & McNeal, R. S. (2007) · Cited by 732 · see citing works
Zubiaga, A., Liakata, M., Procter, R., Wong Sak Hoi, G., & Tolmie, P. (2016) · PLOS ONE · doi:10.1371/journal.pone.0150989 · Cited by 722 · see citing works
Self-citationMorris, S. E. (2000) · The Review of Economic Studies · doi:10.1111/1467-937x.00121 · Cited by 662 · see citing works
Burnap, P., & Williams, M. L. (2015) · Policy & Internet · doi:10.1002/poi3.85 · Cited by 615 · see citing works
Self-citationThe Handbook of Discourse Analysis
van Dijk, T. A. (2003) · Blackwell Publishing Ltd eBooks · doi:10.1111/b.9780631205968.2003.00029.x · Cited by 604 · see citing works
Hardaker, C. (2010) · Journal of Politeness Research. Language, Behaviour, Culture · doi:10.1515/jplr.2010.011 · Cited by 597 · see citing works
The Revolutions Were Tweeted: Information Flows During the 2011 Tunisian and Egyptian Revolutions
Lotan, G., Graeff, E., Ananny, M., Gaffney, D., Pearce, I., & boyd, D. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 593 · see citing works
Ratkiewicz (2011) · doi:10.1145/1963192.1963301 · Cited by 541 · see citing works
Reassembling Social Science Methods: The Challenge of Digital Devices
Ruppert, E. S., Law, J., & Savage, M. (2013) · Theory Culture & Society · doi:10.1177/0263276413484941 · Cited by 456 · see citing works
Tsur, O., & Rappoport, A. (2012) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2124295.2124320 · Cited by 423 · see citing works
Predicting the Speed, Scale, and Range of Information Diffusion in Twitter
Yang, J., & Counts, S. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14039 · Cited by 402 · see citing works
Signal crimes and signal disorders: notes on deviance as communicative action1
Innes, M. (2004) · British Journal of Sociology · doi:10.1111/j.1468-4446.2004.00023.x · Cited by 392 · see citing works
Why rumors spread so quickly in social networks
Doerr, B., Fouz, M., & Friedrich, T. (2012) · Communications of the ACM · doi:10.1145/2184319.2184338 · Cited by 358 · see citing works
Twitter: social communication in the Twitter age
(2013) · Choice Reviews Online · doi:10.5860/choice.50-5424 · Cited by 338 · see citing works
Towards a Sociological Understanding of Social Media: Theorizing Twitter
Murthy, D. (2012) · Sociology · doi:10.1177/0038038511422553 · Cited by 310 · see citing works
Reading the riots on Twitter: methodological innovation for the analysis of big data
Procter, R., Vis, F., & Voß, A. (2013) · International Journal of Social Research Methodology · doi:10.1080/13645579.2013.774172 · Cited by 271 · see citing works
Self-citationTweeting the terror: modelling the social media reaction to the Woolwich terrorist attack
Burnap, P., Williams, M. L., Sloan, L., RANA, O. F., Housley, W., Edwards, A., Knight, V., Procter, R., & Alex Voss, L. (2014) · Social Network Analysis and Mining · doi:10.1007/s13278-014-0206-4 · Cited by 242 · see citing works
Self-citationReading the riots : investigating England's summer of disorder
Lewis, P., Newburn, T., Taylor, M. S., Mcgillivray, C., Greenhill, A., Frayman, H., & Procter, R. (2011) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · doi:10.82444/warw.33682957 · Cited by 231 · see citing works
Self-citationIslamophobia and Twitter: A Typology of Online Hate Against Muslims on Social Media
Awan, I. (2014) · Policy & Internet · doi:10.1002/1944-2866.poi364 · Cited by 217 · see citing works
Williams, M. L., & Burnap, P. (2015) · The British Journal of Criminology · doi:10.1093/bjc/azv059 · Cited by 213 · see citing works
Self-citationThe Cambridge Handbook of Information and Computer Ethics
(2010) · doi:10.1017/cbo9780511845239 · Cited by 210 · cited 1× · see citing works
“The inter-disciplinary field of computer ethics has developed in response to the realisation that computing technologies have the potential to affect our lives in ways that interfere with our preferences, duties or responsibilities [Johnson 1985; Adam 2001; Bynum and Rogerson 2003; Floridi 2010].”
BackgroundPredicting Information Spreading in Twitter
Zaman, T. R., Herbrich, R., Gael, J. V., & Stern, D. (2010) · Cited by 203 · see citing works
Word of Mouth: Rumor Dissemination in Social Networks
Kostka, J., Oswald, Y. A., & Wattenhofer, R. P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69355-0_16 · Cited by 202 · see citing works
A predictive model for the temporal dynamics of information diffusion in online social networks
Guille, A., & Hacid, H. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187980.2188254 · Cited by 195 · see citing works
Why do People Retweet? Anti-Homophily Wins the Day!
Macskassy, S. A., & Michelson, M. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14110 · Cited by 173 · see citing works
Detecting tension in online communities with computational Twitter analysis
Burnap, P., RANA, O. F., Avis, N. J., Williams, M. L., Housley, W., Edwards, A., Morgan, J., & Sloan, L. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.04.013 · Cited by 170 · see citing works
Self-citationA Bayesian approach for predicting the popularity of tweets
Zaman, T. R., Fox, E. B., & Bradlow, E. T. (2014) · The Annals of Applied Statistics · doi:10.1214/14-aoas741 · Cited by 164 · see citing works
Real‐time classification of Twitter trends
Zubiaga, A., Spina, D., Martínez, R., & Fresno, V. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23186 · Cited by 150 · see citing works
The Use of Social Media in Risk and Crisis Communication
Wendling, C., Radisch, J., & Jacobzone, S. (2013) · OECD working papers on public governance · doi:10.1787/5k3v01fskp9s-en · Cited by 146 · see citing works
Wartime rumors of waste and special privilege: why some people believe them.
Allport, F. H., & Lepkin, M. (1945) · Journal of Abnormal & Social Psychology · doi:10.1037/h0058110 · Cited by 138 · see citing works
Reading the riots: what were the police doing on Twitter?
Procter, R., Crump, J., Karstedt, S., Voß, A., & Cantijoch, M. (2013) · Policing & Society · doi:10.1080/10439463.2013.780223 · Cited by 135 · see citing works
Self-citation(2012) · Routledge eBooks · doi:10.4324/9780203126974 · Cited by 122 · see citing works
Edwards, A., Housley, W., Williams, M. L., Sloan, L., & Williams, M. (2013) · International Journal of Social Research Methodology · doi:10.1080/13645579.2013.774185 · Cited by 120 · see citing works
Self-citationFrom computer ethics to responsible research and innovation in ICT
Stahl, B. C., Eden, G., Jirotka, M. D., & Coeckelbergh, M. (2014) · Information & Management · doi:10.1016/j.im.2014.01.001 · Cited by 111 · see citing works
Self-citationThe Pulse of News in Social Media: Forecasting PopularityPreprint
Bandari, R., Asur, S., & Huberman, B. A. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1202.0332 · Cited by 108 · see citing works
McCosker, A. (2013) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/1354856513501413 · Cited by 105 · see citing works
Characterizing and curating conversation threads
Bäckström, L., Kleinberg, J. M., Lee, L., & Danescu-Niculescu-Mizil, C. (2013) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2433396.2433401 · Cited by 102 · see citing works
Big and broad social data and the sociological imagination: A collaborative response
Housley, W., Procter, R., Edwards, A., Burnap, P., Williams, M. L., Sloan, L., RANA, O. F., Morgan, J., Alex Voss, L., & Greenhill, A. (2014) · Big Data & Society · doi:10.1177/2053951714545135 · Cited by 98 · see citing works
Self-citationTwitter, information sharing and the London riots?
Tonkin, E. L., Pfeiffer, H. D., & Tourte, G. J. L. (2012) · Bulletin of the American Society for Information Science and Technology · doi:10.1002/bult.2012.1720380212 · Cited by 90 · see citing works
Morality, Ethics, and Reflection: A Categorization of Normative IS Research
Stahl, B. C. (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00304 · Cited by 90 · see citing works
Self-citationInnovative and responsible governance of nanotechnology for societal development
Roco, M. C., Harthorn, B. H., Guston, D. H., & Philip Shapira, A. (2011) · Journal of Nanoparticle Research · doi:10.1007/s11051-011-0454-4 · Cited by 90 · see citing works
Policing cyber-neighbourhoods: tension monitoring and social media networks
Williams, M. L., Edwards, A., Housley, W., Burnap, P., RANA, O. F., Avis, N. J., Morgan, J., & Sloan, L. (2013) · Policing & Society · doi:10.1080/10439463.2013.780225 · Cited by 83 · see citing works
Self-citationBaker, S. A. (2012) · Safer Communities · doi:10.1108/17578041211200100 · Cited by 77 · see citing works
Towards Detecting Rumours in Social Media
Zubiaga, A., Liakata, M., Procter, R., Bontcheva, K., & Tolmie, P. (2015) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · doi:10.48550/arxiv.1504.04712 · Cited by 72 · see citing works
Self-citationPress and social media reaction to ideologically inspired murder: The case of Lee Rigby
McEnery, T., McGlashan, M., & Love, R. (2015) · Discourse & Communication · doi:10.1177/1750481314568545 · Cited by 69 · see citing works
Rumor Spreading in Social Networks
Chierichetti, F., Lattanzi, S., & Panconesi, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02930-1_31 · Cited by 69 · see citing works
Rumor Propagation in Online Social Networks Like Twitter -- A Simulation Study
Dechun, L., & Chen, X. (2011) · International Conference on Multimedia Information Networking and Security · doi:10.1109/mines.2011.109 · Cited by 62 · see citing works
Computer ethics in a different voice
Adam, A. E. (2001) · Information and Organization · doi:10.1016/s1471-7727(01)00006-9 · Cited by 61 · see citing works
Threshold Models of Social Influence
Winship, C. (2011) · doi:10.1093/oxfordhb/9780199215362.013.20 · Cited by 37 · see citing works
A new rumor propagation model and control strategy on social networks
Bao, Y., Yi, C., Xue, Y., & Dong, Y. (2013) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2492517.2492599 · Cited by 35 · see citing works
Computer Ethics and Professional Responsibility: Introductory Text and Readings
Bynum, T. W., & Rogerson, S. (2003) · Blackwell Publishers Inc. eBooks · Cited by 34 · see citing works
Dingwall, R. W. J. (2001) · Sociology of Health & Illness · doi:10.1111/1467-9566.00247 · Cited by 21 · see citing works
Webb, H., Jirotka, M. D., Stahl, B. C., Housley, W., Edwards, A., Williams, M. L., Procter, R., RANA, O. F., & Burnap, P. (2016) · ACM SIGCAS Computers and Society · doi:10.1145/2874239.2874267 · Cited by 19 · see citing works
Self-citationvan Dijk, T. A. (1985) · Critical theory · doi:10.1075/ct.3.02dij · Cited by 17 · see citing works
Political participation via the web: Structural and subjective contingencies
Dahlgren, P. (2014) · Interactions Studies in Communication & Culture · doi:10.1386/iscc.5.3.255_1 · Cited by 13 · see citing works
KjøLberg, K. A. (2010) · NORA - Norwegian Open Research Archives · Cited by 9 · see citing works
Casilli, A. A., & Tubaro, P. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1909467 · Cited by 8 · see citing works
Microblog Analysis as a Programme of WorkPreprint
Tolmie, P., Procter, R., Rouncefield, M., Liakata, M., & Zubiaga, A. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1511.03193 · Cited by 6 · see citing works
Self-citation
Flagged first, then by citations
3 of the 82 references couldn’t be matched to a known paper.
Research works printed but not linked: 9
- BURNAP, P., RANA, O., WILLIAMS, M., HOUSLEY, W., EDWARDS, A., MORGAN, J, SLOAN, L. and CONEJERO, J. COSMOS: Towards an Integrated and Scalable Service for Analyzing Social Media on Demand, International Journal of Parallel, Emergent and Distributed Systems (IJPEDS). 30,2 (2014a).
- DAWKINS, R. Memes: the new replicators, In The Selfish Gene (2nd ed.). Oxford University Press, Oxford. (1989).
- GUPTA, A., LAMBA, H., KUMARAGURU, P. and JOSHI, A. Faking Sandy: Characterising and Identifying fake images on Twitter during Hurricane Sandy, Second International Workshop on Privacy and Security on Social Media (PSOSM) May 2013, (2013) Retrieved 17 August 2015 from http://ebiquity.umbc.edu/paper/html/id/623/Faking-Sandy-Characterizing-andIdentifying-Fake-Images-on-Twitter-during-Hurricane-Sandy .
- HER MAJESTY'S INSPECTORATE OF CONSTABULARY. The Rules of Engagement: A Review of the August 2011 Disorders. HMIC, London, (2011a).
- HER MAJESTY'S INSPECTORATE OF CONSTABULARY. Policing Public Order: An overview and review of progress against the recommendations of Adapting to Protest and Nurturing the British Model of Policing. HMIC, London, (2011b).
- JOHNSON, D.G. Computer Ethics (1st edition). Prentice Hall, Upper Saddle River, New Jersey, (1985).
- LUPTON, D. Digital Sociology. Routledge, London (2015).
- MACSKASSY, S. and MICHELSON, M. Why do people retweet? antihomophily wins the day, In: International Conference on Weblogs and Social Media (ICWSM). (2011).
- MORRIS, S. Contagion, Review of Economic Studies. 67,1 (2000), 57-78.
Cited by
Sorted by citations
Detection and Resolution of Rumours in Social Media
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 608 · see citing works
“…social media provides access to an unprecedented source of information, the absence of systematic efforts by platforms to moderate posts also leads to the spread of misinformation [Procter et al. 2013b; Webb et al. 2016], which then requires extra effort to establish their provenance and veracity.”
BackgroundSelf-citationExploiting Context for Rumour Detection in Social Media
Zubiaga, A., Liakata, M., & Procter, R. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-67217-5_8 · Cited by 350 · see citing works
Self-citationUzir, M. U. H., Jerin, I., Halbusi, H. A., Hamid, A. B. A., & Latiff, A. S. A. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05710 · Cited by 194 · see citing works
Crisis Communications in the Age of Social Media
Hagen, L., Keller, T., Neely, S. R., DePaula, N., & Robert, C. E. (2017) · Social Science Computer Review · doi:10.1177/0894439317721985 · Cited by 129 · see citing works
Veracity assessment of online data
Lozano, M. G., Brynielsson, J., Franke, U., Rosell, M., Tjörnhammar, E., Varga, S., & Vlassov, V. (2019) · Decision Support Systems · doi:10.1016/j.dss.2019.113132 · Cited by 90 · see citing works
The Ethical Challenges of Publishing Twitter Data for Research Dissemination
Webb, H., Jirotka, M., Stahl, B. C., Housley, W., Edwards, A., Williams, M., Procter, R., Rana, O., & Burnap, P. (2017) · Proceedings of the 2017 ACM on Web Science Conference · doi:10.1145/3091478.3091489 · Cited by 66 · see citing works
Self-citationPersuasion strategies of misinformation-containing posts in the social media
Chen, S., Xiao, L., & Mao, J. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102665 · Cited by 66 · see citing works
Interaction and Transformation on Social Media: The Case of Twitter Campaigns
Housley, W., Webb, H., Williams, M., Procter, R., Edwards, A., Jirotka, M. D., Burnap, P., Stahl, B. C., RANA, O. F., & Williams, M. L. (2018) · Social Media + Society · doi:10.1177/2056305117750721 · Cited by 59 · see citing works
Self-citationQAnon Conspiracy Theory: Examining its Evolution and Mechanisms of Radicalization
Garry, A., Walther, S., Rukaya, R., & Mohammed, A. (2021) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 44 · see citing works
Digitizing Sacks? Approaching social media as data
Housley, W., Webb, H., Edwards, A., Procter, R., & Jirotka, M. D. (2017) · Qualitative Research · doi:10.1177/1468794117715063 · Cited by 44 · see citing works
Self-citationOgnibene, D., Wilkens, R., Taibi, D., Hernández‐Leo, D., Kruschwitz, U., Donabauer, G., Theophilou, E., Lomonaco, F., Buršić, S., Lobo, R. A., et al. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.654930 · Cited by 55 · see citing works
Disclosure of Strategic Managers’ Factotum: Behavioral Incentives of Innovative Business
Ďurana, P., Valášková, K., Vagner, L., Zadnanova, S., Podhorská, I., & Siekelová, A. (2020) · International Journal of Financial Studies · doi:10.3390/ijfs8010017 · Cited by 43 · see citing works
Gaussian Processes for Rumour Stance Classification in Social Media
Łukasik, M., Bontcheva, K., Cohn, T., Zubiaga, A., Liakata, M., & Procter, R. (2019) · ACM Transactions on Information Systems · doi:10.1145/3295823 · Cited by 41 · see citing works
Self-citationTechniques of disinformation: Constructing and communicating “soft facts” after terrorism
Innes, M. (2020) · British Journal of Sociology · doi:10.1111/1468-4446.12735 · Cited by 40 · see citing works
Membership categorisation and antagonistic Twitter formulations
Housley, W., Webb, H., Edwards, A., Procter, R., & Jirotka, M. D. (2017) · Discourse & Communication · doi:10.1177/1750481317726932 · Cited by 35 · see citing works
Self-citationPröllochs, N., & Feuerriegel, S. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610078 · Cited by 36 · see citing works
Microblog Analysis as a Program of Work
Tolmie, P., Procter, R., Rouncefield, M., Liakata, M., & Zubiaga, A. (2018) · ACM Transactions on Social Computing · doi:10.1145/3162956 · Cited by 14 · see citing works
Self-citationOnline Rumor Transmission Among Younger and Older Adults
He, L., Yang, H., Xiong, X., & Lai, K. (2019) · SAGE Open · doi:10.1177/2158244019876273 · Cited by 27 · see citing works
Ghanem, B., Cignarella, A. T., Bosco, C., Rosso, P., & Pardo, F. M. R. (2019) · International Workshop on Semantic Evaluation (SemEval) · doi:10.18653/v1/s19-2197 · Cited by 25 · see citing works
Combatting Climate Change Misinformation: Current Strategies and Future Directions
Chen, L. (2024) · Environmental Communication · doi:10.1080/17524032.2023.2299756 · Cited by 23 · see citing works
Webb, H., & Jirotka, M. D. (2017) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2017.10.001 · Cited by 23 · see citing works
Self-citationWhat should I believe? Exploring information validity on social network platforms
Asamoah, D. A., & Sharda, R. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.019 · Cited by 20 · see citing works
Krutrök, M. E., & Lindgren, S. (2022) · The Communication Review · doi:10.1080/10714421.2022.2035165 · Cited by 17 · see citing works
Focusing on Relevant Responses for Multi-Modal Rumor Detection
Li, J., Bin, Y., Peng, L., Yang, Y., Li, Y., Jin, H., & Huang, Z. H. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3389694 · Cited by 21 · see citing works
Do Many Models Make Light Work? Evaluating Ensemble Solutions for Improved Rumor Detection
Kim, Y.-H., Kim, H. K., Kim, H., & Hong, J. B. (2020) · IEEE Access · doi:10.1109/access.2020.3016664 · Cited by 19 · see citing works
Rumor proliferation and detection in Social Media: A Review
Reshi, J. A., & Ali, R. (2019) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs.2019.8728321 · Cited by 17 · see citing works
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection
Dong, X., Sarker, S., & Qian, L. (2022) · International Conference on Intelligent Data Science Technologies and Applications (IDSTA) · doi:10.1109/idsta55301.2022.9923043 · Cited by 17 · see citing works
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
Langguth, J., Filkuková, P., Brenner, S., Schroeder, D. T., & Pogorelov, K. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-022-00322-3 · Cited by 16 · see citing works
Edwards, A., Webb, H., Housley, W., Beneito-Montagut, R., Procter, R., & Jirotka, M. D. (2020) · Policing & Society · doi:10.1080/10439463.2020.1839073 · Cited by 15 · see citing works
Self-citationBirds of a feather check together: Leveraging homophily for sequential rumour detection
Lathiya, S., Dhobi, J. S., Zubiaga, A., Liakata, M., & Procter, R. (2020) · Online Social Networks and Media · doi:10.1016/j.osnem.2020.100097 · Cited by 12 · see citing works
Self-citationCombating contamination and contagion: Embodied and environmental metaphors of misinformation
Eadon, Y. M., & Wood, S. (2024) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565241255347 · Cited by 11 · see citing works
Sanfilippo, M. R., Zhu, X. A., & Yang, S. (2024) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24953 · Cited by 11 · see citing works
Dynamic wavelet fingerprint for differentiation of tweet storm types
Kirn, S. L., & Hinders, M. K. (2019) · Social Network Analysis and Mining · doi:10.1007/s13278-019-0617-3 · Cited by 11 · see citing works
Valecha, R., Srinivasan, S. K., Volety, T., Kwon, K. H., Agrawal, M., & Rao, H. R. (2021) · Digital Threats Research and Practice · doi:10.1145/3410025 · Cited by 11 · see citing works
Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems
Krafft, P. M., & Spiro, E. S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300876 · Cited by 9 · see citing works
Connolly, E. (2025) · Journal of Information Technology & Politics · doi:10.1080/19331681.2025.2519052 · Cited by 9 · see citing works
A Study of Cyber Hate on Twitter with Implications for Social Media Governance Strategies
Procter, R., Webb, H., Burnap, P., Housley, W., Edwards, A., Williams, M., & Jirotka, M. D. (2019) · Conference for Truth and Trust Online (TTO) · doi:10.36370/tto.2019.20 · Cited by 9 · see citing works
Self-citationKopilaš, V., & Gajović, S. (2020) · Journal of Medical Internet Research · doi:10.2196/17051 · Cited by 9 · see citing works
Rumor identification and diffusion impact analysis in real-time text stream using deep learning
Singh, T., Kumari, M., & Gupta, D. S. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05726-x · Cited by 8 · see citing works
It's Time to Confront Fake News and Rumors on Social Media: A Bibliometric Study Based on VOSviewer
Ding, Y., Wang, Y., & Wang, Y. (2021) · IEEE International Conference on Computer and Communication Engineering Technology (CCET) · doi:10.1109/ccet52649.2021.9544276 · Cited by 8 · see citing works
Detection of Context-Varying Rumors on Twitter through Deep Learning
Ahsan, M., & Kumari, M. (2019) · International Journal of Advanced Science and Technology · doi:10.33832/ijast.2019.128.05 · Cited by 8 · see citing works
Nirmala, M., & Babu, M. R. (2019) · IET Networks · doi:10.1049/iet-net.2018.5208 · Cited by 7 · see citing works
Housley, W., Albert, S., & Stokoe, E. H. (2019) · Halfway to the Future Symposium · doi:10.1145/3363384.3363478 · Cited by 6 · see citing works
Self-citationRumor conversations detection in twitter through extraction of structural features
Lotfi, S., Mirzarezaee, M., Hosseinzadeh, M., & Seydi, V. (2021) · Information Technology and Management · doi:10.1007/s10799-021-00335-7 · Cited by 5 · see citing works
Ognibene, D., Donabauer, G., Theophilou, E., Buršić, S., Lomonaco, F., Wilkens, R., Hernández‐Leo, D., & Kruschwitz, U. (2023) · Datenbank-Spektrum · doi:10.1007/s13222-023-00436-3 · Cited by 6 · see citing works
Miri, A., Karimi‐Shahanjarini, A., Afshari, M., Tapak, L., & Bashirian, S. (2024) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-10-2023-0124 · Cited by 4 · see citing works
SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance
Roh, G.-H., Lee, S., Kim, J., & Lee, S. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124684 · Cited by 3 · see citing works
Makama, F. T., James, S. A., & Makama, E. F. (2025) · Cogent Social Sciences · doi:10.1080/23311886.2025.2518437 · Cited by 5 · see citing works
Demystifying automatic rumour detection in social networks: A review
Sharma, O., Ahuja, S., & Kamal, P. (2021) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1022/1/012060 · Cited by 3 · see citing works
Spotting Flares: The Vital Signs of the Viral Spread of Tweets Made During Communal Incidents
Upadhyaya, A., & Chandra, J. (2022) · ACM Transactions on the Web · doi:10.1145/3550357 · Cited by 3 · see citing works
The Effect of Threat and Proximity on Cyber-Rumor Sharing
Valecha, R., Volety, T., Kwon, K. H., & Rao, H. R. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-3817-9_11 · Cited by 3 · see citing works
Pensamiento crítico de los jóvenes ciudadanos frente a las noticias en Chile
Vernier, M., Ulloa, L. R. C., & Scheihing, E. (2018) · Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva) · doi:10.3916/c54-2018-10 · Cited by 2 · see citing works
Niu, S., Li, T., & Chi, M. (2025) · ACM Transactions on Recommender Systems · doi:10.1145/3770747 · Cited by 3 · see citing works
Scantamburlo, T., & Zollo, F. (2026) · ACM Transactions on the Web · doi:10.1145/3796546 · Cited by 2 · see citing works
Social media in hotel crisis communication: a case study
Silva, C. E. P., Silva, S., & Rodrigues, B. (2023) · International Conference on Tourism Research · doi:10.34190/ictr.6.1.1197 · Cited by 2 · see citing works
SNSaPP: Unbiased Social Media Analysis Against Paid Posters
Long, C., Zhang, X., Wang, Y., Lu, X., Han, F., Zhang, J., & Li, X. (2019) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2019.00163
(2019) · Advances in social networking and online communities book series · doi:10.4018/978-1-5225-9369-0.ch004
Hai-Jew, S. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6307-9.ch040
DEFLUÊNCIA MIDIÁTICA NA PERCEPÇÃO DA VERACIDADE DAS INFORMAÇÕES
dos Santos, F. C. B., Cezario, E. V. D. A., Feliciano, G. F., Fedele, L. F., & da Silva, L. R. D. (2023) · RECIMA21 - Revista Científica Multidisciplinar · doi:10.47820/recima21.v4i1.2495
Krutrök, M. E. (2023) · Journalism and Media · doi:10.3390/journalmedia4010024
Gong, G., Dimitrov, S., & Bartolacci, M. R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4941995
Crisis Communication and Health Crises: A Systematic Literature Review
Testa, G. (2025) · International series in advanced management studies · doi:10.1007/978-3-031-83896-5_4
Tracing the truth: a critical review of propagation tracking strategies in social networks
Ganguly, M., & Dey, P. (2026) · Journal of Computational Social Science · doi:10.1007/s42001-026-00497-w
- Authors
- Webb, H., Burnap, P., Procter, R., Rana, O., Stahl, B. C., Williams, M., Housley, W., Edwards, A., & Jirotka, M.
- Affiliations
- University of Oxford (GB)
- Cardiff University (GB)
- University of Warwick (GB)
- De Montfort University (GB)
- ORCID
- Venue
- ACM Transactions on Information Systems
- Published
- 2016-04-20
- Volume
- 34
- Issue
- 3
- Pages
- 1-23
- ISSN
- 1046-8188 (ISSN-L)
- 1558-2868
- OpenAlex
- W2338533289
- Cited by
- 64
- References
- 82
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 9 · 2019: 13 · 2018: 4 · 2017: 7
- FWCI
- 22.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Information Systems (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- DMU Open Research Archive (De Montfort University) (submittedVersion)
- Funders
- Economic and Social Research Council (ES/L013398/1)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- rumor propagation, misinformation, social media, content regulation, social media governance, information dissemination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review