Disinformation’s spread: bots, trolls and all of us

Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020) · Psychological Science · doi:10.1177/0956797620939054 · Cited by 1,715 · see citing works

The online competition between pro- and anti-vaccination views

Johnson, N. F., Velásquez, N., Restrepo, N. J., Leahy, R., Gabriel, N., Oud, S. E., Zheng, M., Manrique, P. D., Wuchty, S., & Lupu, Y. (2020) · Nature · doi:10.1038/s41586-020-2281-1 · Cited by 704 · see citing works

Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention

Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020) · doi:10.31234/osf.io/uhbk9 · Cited by 390 · see citing works

A decade of social bot detection

Cresci, S. (2020) · Communications of the ACM · doi:10.1145/3409116 · Cited by 323 · see citing works

Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter

Gruzd, A., & Mai, P. (2020) · Big Data & Society · doi:10.1177/2053951720938405 · Cited by 208 · see citing works

Disinformation by Design: The Use of Evidence Collages and Platform Filtering in a Media Manipulation Campaign

Krafft, P. M., & Donovan, J. (2020) · Political Communication · doi:10.1080/10584609.2019.1686094 · Cited by 183 · see citing works

Misinformation, manipulation, and abuse on social media in the era of COVID-19

Ferrara, E., Cresci, S., & Luceri, L. (2020) · Journal of Computational Social Science · doi:10.1007/s42001-020-00094-5 · Cited by 188 · see citing works

American Politics in Two Dimensions: Partisan and Ideological Identities versus Anti‐Establishment Orientations

Uscinski, J. E., Enders, A. M., Seelig, M. I., Klofstad, C. A., Funchion, J. R., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. N. (2021) · American Journal of Political Science · doi:10.1111/ajps.12616 · Cited by 205 · see citing works

Misinformation and COVID-19 vaccine hesitancy

Zimmerman, T., Shiroma, K., Fleischmann, K. R., Xie, B., Jia, C., Verma, N., & Lee, M. K. (2022) · Vaccine · doi:10.1016/j.vaccine.2022.11.014 · Cited by 143 · see citing works

Charting the Landscape of Online Cryptocurrency Manipulation

Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M., & Ferrara, E. (2020) · IEEE Access · doi:10.1109/access.2020.3003370 · Cited by 132 · see citing works

Do social media undermine social cohesion? A critical review

González-Bailón, S., & Lelkes, Y. (2022) · Social Issues and Policy Review · doi:10.1111/sipr.12091 · Cited by 110 · see citing works

Disinformation as a context-bound phenomenon: toward a conceptual clarification integrating actors, intentions and techniques of creation and dissemination

Hameleers, M. (2022) · Communication Theory · doi:10.1093/ct/qtac021 · Cited by 110 · see citing works

Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network

Hagen, L., Neely, S. R., Keller, T. E., Scharf, R., & Vasquez, F. E. (2020) · Social Science Computer Review · doi:10.1177/0894439320908190 · Cited by 102 · see citing works

Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines

Uyheng, J., & Carley, K. M. (2020) · Journal of Computational Social Science · doi:10.1007/s42001-020-00087-4 · Cited by 96 · see citing works

Coordinated Behavior on Social Media in 2019 UK General Election

Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., & Tesconi, M. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v15i1.18074 · Cited by 95 · see citing works

Why Botter: How Pro-Government Bots Fight Opposition in Russia

Стукал, Д., Sanovich, S., Bonneau, R., & Tucker, J. A. (2022) · American Political Science Review · doi:10.1017/s0003055421001507 · Cited by 95 · see citing works

Tackling misinformation: What researchers could do with social media data

Pasquetto, I. V., Swire‐Thompson, B., & Amazeen, M. A. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-49 · Cited by 86 · see citing works

Coordinated inauthentic behavior and information spreading on twitter

Cinelli, M., Cresci, S., Quattrociocchi, W., Tesconi, M., & Zola, P. (2022) · Decision Support Systems · doi:10.1016/j.dss.2022.113819 · Cited by 74 · see citing works

Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media

Shin, D., Hameleers, M., Park, Y. J., Kim, J. N., Trielli, D., Diakopoulos, N. A., Helberger, N., Lewis, S. C., Westlund, O., & Baumann, S. (2022) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990221129245 · Cited by 78 · see citing works

Bots are Less Central than Verified Accounts during Contentious Political Events

González‐Bailón, S., & Domenico, M. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013443118 · Cited by 69 · see citing works

Crowdsourced Fact-Checking at Twitter

Saeed, M., Traub, N., Nicolas, M., Demartini, G., & Papotti, P. (2022) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3511808.3557279 · Cited by 72 · see citing works

You Won’t Believe What They Just Said! The Effects of Political Deepfakes Embedded as Vox Populi on Social Media

Hameleers, M., van der Meer, T. G. L. A., & Dobber, T. (2022) · Social Media + Society · doi:10.1177/20563051221116346 · Cited by 67 · see citing works

EATLancet vs yes2meat: the digital backlash to the planetary health diet

García, D., Galaz, V., & Daume, S. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32526-7 · Cited by 67 · see citing works

Automatic detection of influential actors in disinformation networks

Smith, S., Kao, E., Mackin, E., Shah, D. C., Simek, O., & Rubin, D. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2011216118 · Cited by 55 · see citing works

A hybrid model for fake news detection: Leveraging news content and user comments in fake news

Albahar, M. (2021) · IET Information Security · doi:10.1049/ise2.12021 · Cited by 60 · see citing works

Fact-Checking Misinformation: Eight Notes on Consensus Reality

Vinhas, O., & Bastos, M. (2022) · Journalism Studies · doi:10.1080/1461670x.2022.2031259 · Cited by 65 · see citing works

Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19

Duan, Z., Li, J., Lukito, J., Yang, K.-C., Chen, F., Shah, D. V., & Yang, S. (2022) · Human Communication Research · doi:10.1093/hcr/hqac012 · Cited by 62 · see citing works

Asymmetrical perceptions of partisan political bots

Yan, H. Y., Yang, K.-C., Menczer, F., & Shanahan, J. E. (2020) · New Media & Society · doi:10.1177/1461444820942744 · Cited by 60 · see citing works

What is it about humanity that we can’t give away to intelligent machines? A European perspective

Coombs, C. R., Stacey, P., Kawalek, P., Simeonova, B., Becker, J., Bergener, K., Carvalho, J. Á., Fantinato, M., Garmann-Johnsen, N. F., Grimme, C., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102311 · Cited by 61 · see citing works

X under Musk’s leadership: Substantial hate and no reduction in inauthentic activity

Hickey, D., Fessler, D. M. T., Lerman, K., & Burghardt, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0313293 · Cited by 68 · see citing works

Bots Amplify and Redirect Hate Speech in Online Discourse About Racism During the COVID-19 Pandemic

Uyheng, J., Bellutta, D., & Carley, K. M. (2022) · Social Media + Society · doi:10.1177/20563051221104749 · Cited by 47 · see citing works

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias

Barbera, D. L., Roitero, K., Demartini, G., Mizzaro, S., & Spina, D. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45442-5_26 · Cited by 43 · see citing works

A Security Analysis of the Facebook Ad Library

Edelson, L., Lauinger, T., & McCoy, D. (2020) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp40000.2020.00084 · Cited by 43 · see citing works

Stumble on information or misinformation? Examining the interplay of incidental news exposure, narcissism, and new media literacy in misinformation engagement

Xiao, X., & Su, Y. (2022) · Internet Research · doi:10.1108/intr-10-2021-0791 · Cited by 46 · see citing works

“That’s important, but...”: How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations

Do, K., Pang, R. Y., Jiang, J., & Reinecke, K. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581347 · Cited by 41 · see citing works

A typology of disinformation intentionality and impact

French, A. M., Storey, V. C., & Wallace, L. G. (2023) · Information Systems Journal · doi:10.1111/isj.12495 · Cited by 39 · see citing works

Fakey

Micallef, N., Avram, M., Menczer, F., & Patil, S. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449080 · Cited by 42 · see citing works

Investigating the difference between trolls, social bots, and humans on Twitter

Mazza, M., Avvenuti, M., Cresci, S., & Tesconi, M. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.09.022 · Cited by 36 · see citing works

“This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders

Zhou, X., Shu, K., Phoha, V. V., Liu, H., & Zafarani, R. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3485447.3512264 · Cited by 36 · see citing works

Health Promotion Practice

Sendall, M. C., Neely, E., Pederson, A., & Early, J. O. (2023) · Springer eBooks · doi:10.1007/978-3-030-96778-9_11-1 · Cited by 35 · see citing works

Ready-to-(ab)use: From fake account trafficking to coordinated inauthentic behavior on Twitter

Mazza, M., Cola, G., & Tesconi, M. (2022) · Online Social Networks and Media · doi:10.1016/j.osnem.2022.100224 · Cited by 32 · see citing works

Temporal dynamics of coordinated online behavior: Stability, archetypes, and influence

Tardelli, S., Nizzoli, L., Tesconi, M., Conti, M., Nakov, P., Martino, G. D. S., & Cresci, S. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2307038121 · Cited by 31 · see citing works

Detecting inorganic financial campaigns on Twitter

Tardelli, S., Avvenuti, M., Tesconi, M., & Cresci, S. (2021) · Information Systems · doi:10.1016/j.is.2021.101769 · Cited by 31 · see citing works

The case for voter-centered audits of search engines during political elections

Mustafaraj, E., Lurie, E., & Devine, C. (2020) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3351095.3372835 · Cited by 28 · see citing works

Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters

Boyd, M. J., Sullivan, J., Chetty, M., & Ur, B. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445061 · Cited by 26 · see citing works

The language and targets of online trolling: A psycholinguistic approach for social cybersecurity

Uyheng, J., Moffitt, J. D., & Carley, K. M. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.103012 · Cited by 26 · see citing works

Health Promotion Practice

Sendall, M. C., Neely, E., Pederson, A., & Early, J. O. (2023) · Springer eBooks · doi:10.1007/978-3-031-25110-8_11 · Cited by 25 · see citing works

Facts and their Discontents: A Research Agenda for Online Disinformation, Race, and GenderPreprint

Thakur, D., & Hankerson, D. L. (2022) · doi:10.31219/osf.io/3e8s5 · Cited by 24 · see citing works

Profiling users and bots in Twitter through social media analysis

Pastor-Galindo, J., Mármol, F. G., & Pérez, G. M. (2022) · Information Sciences · doi:10.1016/j.ins.2022.09.046 · Cited by 23 · see citing works

Multipolar social systems: Measuring polarization beyond dichotomous contexts

Martín-Gutíerrez, S., Losada, J. C., & Benito, R. M. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2023.113244 · Cited by 27 · see citing works

The impact of information sources on COVID-19 knowledge accumulation and vaccination intention

Vlasceanu, M., & Coman, A. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00307-8 · Cited by 23 · see citing works

Bots’ Activity on COVID-19 Pro and Anti-Vaccination Networks: Analysis of Spanish-Written Messages on Twitter

Ruíz-Núñez, C., Segado-Fernández, S., Jiménez-Gómez, B., Hidalgo, P. J. J., Magdalena, C. S. R., Pollo, M. D. C. Á., García, A. S., & Herrera‐Peco, I. (2022) · Vaccines · doi:10.3390/vaccines10081240 · Cited by 22 · see citing works

Community-based strategies for combating misinformation: Learning from a popular culture fandom

Lee, J. H., Santero, N., Bhattacharya, A., May, E., & Spiro, E. S. (2022) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-105 · Cited by 25 · see citing works

Automated Framing of Climate Change? The Role of Social Bots in the Twitter Climate Change Discourse During the 2019/2020 Australia Bushfires

Daume, S., Galaz, V., & Bjersér, P. (2023) · Social Media + Society · doi:10.1177/20563051231168370 · Cited by 22 · see citing works

Coordinated inauthentic behavior: An innovative manipulation tactic to amplify COVID-19 anti-vaccine communication outreach via social media

Murero, M. (2023) · Frontiers in Sociology · doi:10.3389/fsoc.2023.1141416 · Cited by 20 · see citing works

Should we agree to disagree about Twitter’s bot problem?

Varol, O. (2023) · Online Social Networks and Media · doi:10.1016/j.osnem.2023.100263 · Cited by 20 · see citing works

Mistakenly misinformed or intentionally deceived? Mis‐ and Disinformation perceptions on the Russian War in Ukraine among citizens in 19 countries

Hameleers, M., Tulin, M., de Vreese, C. H., Aalberg, T., Aelst, P. V., Cardenal, A. S., Corbu, N., van Erkel, P. F. A., Esser, F., Gehle, L., et al. (2023) · European Journal of Political Research · doi:10.1111/1475-6765.12646 · Cited by 20 · see citing works

Multifaceted online coordinated behavior in the 2020 US presidential election

Tardelli, S., Nizzoli, L., Avvenuti, M., Cresci, S., & Tesconi, M. (2024) · EPJ Data Science · doi:10.1140/epjds/s13688-024-00467-0 · Cited by 25 · see citing works

Editorial: Multidisciplinary Approaches to Mis- and Disinformation Studies

Pavliuc, A., George, A., Spezzano, F., Giachanou, A., Spaiser, V., & Bright, J. (2023) · Social Media + Society · doi:10.1177/20563051221150405 · Cited by 20 · see citing works

Introduction to the Special Section

Shapiro, R. B., & Fiebrink, R. A. (2019) · ACM Transactions on Computing Education · doi:10.1145/3354136 · Cited by 19 · see citing works

Exposure to social bots amplifies perceptual biases and regulation propensity

Yan, H. Y., Yang, K.-C., Shanahan, J. E., & Menczer, F. (2023) · Scientific Reports · doi:10.1038/s41598-023-46630-x · Cited by 19 · see citing works

Detection and impact estimation of social bots in the Chilean Twitter network

Mendoza, M., Providel, E., dos Santos, M. L. B., & Valenzuela, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-57227-3 · Cited by 19 · see citing works

Coordinated Behavior in Information Operations on Twitter

Cima, L., Mannocci, L., Avvenuti, M., Tesconi, M., & Cresci, S. (2024) · IEEE Access · doi:10.1109/access.2024.3393482 · Cited by 18 · see citing works

The sociology of the antivaccine movement

Doustmohammadi, S., & Cherry, J. D. (2020) · Emerging Topics in Life Sciences · doi:10.1042/etls20190198 · Cited by 18 · see citing works

Re-Thinking the Role of Government Information Intervention in the COVID-19 Pandemic: An Agent-Based Modeling Analysis

Lu, Y., Ji, Z., Zhang, X., Zheng, Y., & Liang, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010147 · Cited by 18 · see citing works

How did Russian and Iranian trolls’ disinformation toward Canadian issues diverge and converge?

Al‐Rawi, A. (2021) · Digital War · doi:10.1057/s42984-020-00029-4 · Cited by 19 · see citing works

Applying responsible algorithm design to neighbourhood-scale batteries in Australia

Ransan‐Cooper, H., Sturmberg, B. C. P., Shaw, M. E., & Blackhall, L. (2021) · Nature Energy · doi:10.1038/s41560-021-00868-9 · Cited by 17 · see citing works

Promoting immunization resiliency in the digital information age

MacDonald, N. E., & Dubé, È. (2020) · Canada Communicable Disease Report · doi:10.14745/ccdr.v46i01a04 · Cited by 18 · see citing works

Fake News: O Que É, Como Se Faz E Por Que Funciona?Preprint

Forster, R., de Carvalho, R. M., Filgueiras, A., & Avila, E. (2021) · doi:10.1590/scielopreprints.3294 · Cited by 21 · see citing works

A statistical framework of watermarks for large language models: Pivot, detection efficiency and optimal rules

Li, X., Ruan, F., Wang, H., Long, Q., & Su, W. (2025) · The Annals of Statistics · doi:10.1214/24-aos2468 · Cited by 19 · see citing works

Fake News e o Repertório Contemporâneo de Ação Política

Mendonça, R. F., Freitas, V. G., Aggio, C. D. O., & Santos, N. (2022) · Dados · doi:10.1590/dados.2023.66.2.301 · Cited by 16 · see citing works

How U.S. Presidential elections strengthen global hate networks

Verma, A., Sear, R. F., & Johnson, N. F. (2024) · npj Complexity · doi:10.1038/s44260-024-00018-8 · Cited by 16 · see citing works

The visual nature of information warfare: the construction of partisan claims on truth and evidence in the context of wars in Ukraine and Israel/Palestine

Hameleers, M. (2024) · Journal of Communication · doi:10.1093/joc/jqae045 · Cited by 16 · see citing works

Misinformation, disinformation, and fake news? Proposing a typology framework of false information

Tsang, S. J. (2024) · Journalism · doi:10.1177/14648849241304380 · Cited by 16 · see citing works

The Alternative Truth Kept Hidden From Us: The Effects of Multimodal Disinformation Disseminated by Ordinary Citizens and Alternative Hyper-Partisan Media

Hameleers, M., Harff, D., & Schmuck, D. (2023) · Digital Journalism · doi:10.1080/21670811.2023.2210616 · Cited by 14 · see citing works

Social networks, disinformation and diplomacy: a dynamic model for a current problem

Rincón, A. G., Moreno, S. P. B., Cánovas, B. R., Barbosa, R. L. C., & Franco, D. R. A. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01998-z · Cited by 15 · see citing works

Who knowingly shares false political information online?

Littrell, S., Klofstad, C., Diekman, A. B., Funchion, J., Murthi, M. N., Premaratne, K., Seelig, M. I., Verdear, D., Wuchty, S., & Uscinski, J. E. (2023) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-121 · Cited by 18 · see citing works

Online misinformation during extreme weather emergencies: short-term information hazard or long-term influence on climate change perceptions?

Daume, S. (2024) · Environmental Research Communications · doi:10.1088/2515-7620/ad1b67 · Cited by 15 · see citing works

Controlling bad-actor-artificial intelligence activity at scale across online battlefields

Johnson, N. F., Sear, R. F., & Illari, L. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgae004 · Cited by 16 · see citing works

Where’s the fake news at? European news consumers’ perceptions of misinformation across information sources and topics

Hameleers, M., Brosius, A., & de Vreese, C. H. (2021) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-70 · Cited by 14 · see citing works

Losing the battle over best-science guidance early in a crisis: COVID-19 and beyond

Illari, L., Restrepo, N. J., & Johnson, N. F. (2022) · Science Advances · doi:10.1126/sciadv.abo8017 · Cited by 14 · see citing works

Fake news and participatory propaganda

Lewandowsky, S. (2022) · Routledge eBooks · doi:10.4324/9781003154730-23 · Cited by 14 · see citing works

Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation

Weber, D., Falzon, L., Mitchell, L., & Nasim, M. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00892-x · Cited by 15 · see citing works

Populist Disinformation: Are Citizens With Populist Attitudes Affected Most by Radical Right-Wing Disinformation?

Hameleers, M. (2022) · Media and Communication · doi:10.17645/mac.v10i4.5654 · Cited by 9 · see citing works

Crowdsourcing the Mitigation of disinformation and misinformation: The case of spontaneous community-based moderation on Reddit

Corsi, G., Seger, E., & hÉigeartaigh, S. Ó. (2024) · Online Social Networks and Media · doi:10.1016/j.osnem.2024.100291 · Cited by 14 · see citing works

Polarised perspectives in salmon aquaculture warrant a targeted long-term approach to communication

Condie, C. M., Alexander, K. A., Fulton, E. A., Vince, J., & Haward, M. (2023) · Aquaculture Reports · doi:10.1016/j.aqrep.2023.101557 · Cited by 13 · see citing works

Pedagogy and Propaganda in the Post-Truth Era: Examining Effective Approaches to Teaching About Mis/DisInformation

Early, J. O., Robillard, A., Rooks, R. N., & Romocki, L. S. (2024) · Pedagogy in Health Promotion · doi:10.1177/23733799231218936 · Cited by 12 · see citing works

Demystifying Misconceptions in Social Bots Research

Cresci, S., Yang, K.-C., Spognardi, A., Pietro, R. D., Menczer, F., & Petrocchi, M. (2025) · Social Science Computer Review · doi:10.1177/08944393251376707 · Cited by 12 · see citing works

eHealth Literacy of 2-Year and 4-Year College Students: Implications for Health Education in a Post-Truth Era

Early, J. O., Stone, A. L., Nieto, C., & González, C. (2021) · Pedagogy in Health Promotion · doi:10.1177/23733799211038023 · Cited by 13 · see citing works

Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts

Burghardt, K., Rao, A., Chochlakis, G., Baruah, S., Guo, S., He, Z., Rojecki, A., Narayanan, S. S., & Lerman, K. (2024) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v18i1.31305 · Cited by 11 · see citing works

Analyzing Russia’s propaganda tactics on Twitter using mixed methods network analysis and natural language processing: a case study of the 2022 invasion of Ukraine

Alieva, I., Kloo, I., & Carley, K. M. (2024) · EPJ Data Science · doi:10.1140/epjds/s13688-024-00479-w · Cited by 11 · see citing works

Hesitation regarding the COVID-19 vaccine among medical students in Brazil

Chaves, Í. E. D. S., Brito, P. R. P., Rodrigues, J. G. B. D. A., Costa, M. S., Cândido, E. L., & Moreira, M. R. C. (2021) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.20210379 · Cited by 11 · see citing works

Reducing socio-ecological conflict using social influence modelling

Condie, C. M., Alexander, K. A., Fulton, E. A., Vince, J., & Condie, S. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-26570-8 · Cited by 11 · see citing works

The IMPED Model: Detecting Low-Quality Information in Social Media

Bastos, M., Walker, S., & Simeone, M. P. (2020) · American Behavioral Scientist · doi:10.1177/0002764221989776 · Cited by 11 · see citing works

A multidisciplinary definition of privacy labels

Johansen, J., Pedersen, T., Fischer‐Hübner, S., Johansen, C., Schneider, G., Roosendaal, A., Zwingelberg, H., Sivesind, A. J., & Noll, J. (2022) · Information and Computer Security · doi:10.1108/ics-06-2021-0080 · Cited by 10 · see citing works

Hello/Bonjour Won't Cut It in a Health Crisis

Desjardins, R. (2022) · Routledge eBooks · doi:10.4324/9781003183907-6 · Cited by 10 · see citing works

The importance of centering harm in data infrastructures for ‘soft moderation’: X’s Community Notes as a case study

Matamoros-Fernández, A., & Jude, N. (2025) · New Media & Society · doi:10.1177/14614448251314399 · Cited by 11 · see citing works

A large-scale characterization of online incitements to harassment across platforms

Aliapoulios, M., Take, K., Ramakrishna, P., Borkan, D., Goldberg, B., Sorensen, J. S., Turner, A., Greenstadt, R., Lauinger, T., & McCoy, D. (2021) · ACM Internet Measurement Conference (IMC) · doi:10.1145/3487552.3487852 · Cited by 10 · see citing works

Analyzing Security and Privacy Advice During the 2022 Russian Invasion of Ukraine on Twitter

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Risk Perceptions of Misinformation Exposure Across Platforms, Issues, Modalities, and Countries: A Comparative Study Across the Global North and South

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